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Paper Citation Record · LEDGER

A Survey on Deep Learning Techniques for Action Anticipation

As of 4 August 2026, this Paper Citation Record lists 100 of 207 outbound references and 1 inbound Pith citation observation for arXiv:2309.17257.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2309.17257 v2

Coverage vector

measured 100 of 207 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T06:41:15.508744Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T19:08:36.655886Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-06-28T19:12:34.724099Z

Reference resolution

100 of 207 outbound references displayed

  • verified exact6
  • verified fuzzy94
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5cc12138-b01a-4a6a-8088-8b233b337fc8 · outbound

This paper cites Slowfast networks for video recognition.

A Survey on Deep Learning Techniques for Action Anticipation Slowfast networks for video recognition

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 2142e81c-35d0-46b1-8859-60dc4c77d23c · outbound

This paper cites Video swin transformer.

A Survey on Deep Learning Techniques for Action Anticipation Video swin transformer

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation dab96e10-ef32-4e99-bf58-9b9dcc190f9b · outbound

This paper cites Philipp, ¨Uber die Formalisierung und Analyse medizinischer Prozesse im Kontext von Expertenwissen und k¨ unstlicher Intelligenz.

A Survey on Deep Learning Techniques for Action Anticipation Philipp, ¨Uber die Formalisierung und Analyse medizinischer Prozesse im Kontext von Expertenwissen und k¨ unstlicher Intelligenz

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation a9eb470f-0c66-41b1-9ad1-4152e5981a9f · outbound

This paper cites Anticipating visual representations from unlabeled video.

A Survey on Deep Learning Techniques for Action Anticipation Anticipating visual representations from unlabeled video

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.829245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:978fbe2d49bc9102ec3b059e26d05f0591db1a571e20d65e3959c0150bed564b

Observation 5f835a5d-588a-4167-bbbf-fb9c807b6815 · outbound

This paper cites Temporal Aggregate Repre- sentations for Long-Range Video Understanding.

A Survey on Deep Learning Techniques for Action Anticipation Temporal Aggregate Repre- sentations for Long-Range Video Understanding

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation f322564c-99bb-46dd-a3b4-792b55dc8156 · outbound

This paper cites MeMViT: Memory-Augmented Multiscale Vi- sion Transformer for Efficient Long-Term Video Recognition.

A Survey on Deep Learning Techniques for Action Anticipation MeMViT: Memory-Augmented Multiscale Vi- sion Transformer for Efficient Long-Term Video Recognition

Reference 6

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raw_fallback, observed 2026-05-24T06:44:03.861175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 5507089b-a6dd-496d-813d-f98c43add257 · outbound

This paper cites Scaling egocentric vision: The epic-kitchens dataset.

A Survey on Deep Learning Techniques for Action Anticipation Scaling egocentric vision: The epic-kitchens dataset

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.819760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:7979ebcb4b8cc62c6ab56f2921489b16e89ef451c62ea76930f2428fbc55ea90

Observation 6e26cdda-d609-431a-aecc-bd8aad4155ea · outbound

This paper cites Temporal Action Segmentation: An Analysis of Modern Techniques.

A Survey on Deep Learning Techniques for Action Anticipation Temporal Action Segmentation: An Analysis of Modern Techniques

Reference 8

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verified exact
arxiv_id, observed 2026-05-24T06:44:02.294717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 7850f9d9-8c99-4c23-8a1a-ce4c07e8e857 · outbound

This paper cites Deep learning-based action detection in untrimmed videos: A survey.

A Survey on Deep Learning Techniques for Action Anticipation Deep learning-based action detection in untrimmed videos: A survey

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 66679975-1c27-49a3-8d51-75188167fb63 · outbound

This paper cites A Review on Deep Learning Techniques for Video Prediction.

A Survey on Deep Learning Techniques for Action Anticipation A Review on Deep Learning Techniques for Video Prediction

Reference 10

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raw_fallback, observed 2026-05-24T06:44:03.876265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 01689e0a-51aa-4231-9251-e6ea45d784f6 · outbound

This paper cites Human motion trajectory prediction: A sur- vey.

A Survey on Deep Learning Techniques for Action Anticipation Human motion trajectory prediction: A sur- vey

Reference 11

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raw_fallback, observed 2026-05-24T06:44:03.810131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 99257441-692c-48a5-a918-74cb0a4409b8 · outbound

This paper cites 3d human motion prediction: A survey.

A Survey on Deep Learning Techniques for Action Anticipation 3d human motion prediction: A survey

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation f1d32c07-bc2a-4461-b76a-2f8fb97a6edf · outbound

This paper cites Convolutional lstm network: A machine learning ap- proach for precipitation nowcasting.

A Survey on Deep Learning Techniques for Action Anticipation Convolutional lstm network: A machine learning ap- proach for precipitation nowcasting

Reference 13

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raw_fallback, observed 2026-05-24T06:44:03.801204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation ae27dce6-2716-4b4a-b8c2-cbb139ce667c · outbound

This paper cites Price prediction strategies for market-based scheduling.

A Survey on Deep Learning Techniques for Action Anticipation Price prediction strategies for market-based scheduling

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.888860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 3bc9d1c3-4ca6-4e28-84c9-bba538d0d1e0 · outbound

This paper cites Human In- tention Estimation based on Hidden Markov Model Motion Validation for Safe Flexible Robotized Warehouses.

A Survey on Deep Learning Techniques for Action Anticipation Human In- tention Estimation based on Hidden Markov Model Motion Validation for Safe Flexible Robotized Warehouses

Reference 15

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verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.795176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 99fb848f-bcb0-465c-a65c-050024d585e5 · outbound

This paper cites Anticipating Human Activi- ties Using Object Affordances for Reactive Robotic Response.

A Survey on Deep Learning Techniques for Action Anticipation Anticipating Human Activi- ties Using Object Affordances for Reactive Robotic Response

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.895664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:3fe8f5b606eafc1aaa9225045e10a6740e7b7163d800b547a0405f2b1c0881f1

Observation 50494c8c-d91a-4185-a778-83b3befc8103 · outbound

This paper cites Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models.

A Survey on Deep Learning Techniques for Action Anticipation Car that Knows Before You Do: Anticipating Maneuvers via Learning Temporal Driving Models

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.747709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 2d6486f1-3168-4a25-be8a-36da93be5b26 · outbound

This paper cites Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs.

A Survey on Deep Learning Techniques for Action Anticipation Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

Reference 18

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raw_fallback, observed 2026-05-24T06:46:04.751323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation e9da2c74-6c06-4cb2-b340-e9f4f860ed03 · outbound

This paper cites Help by predicting what to do.

A Survey on Deep Learning Techniques for Action Anticipation Help by predicting what to do

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.755154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:049492dc9bea0e0db3ca48c4508a0496c042974e47aca37361b27f3a83040a81

Observation 5f500138-5caf-4f3c-b730-eaf11dcd2ca7 · outbound

This paper cites Anticipating the Start of User Interaction for Service Robot in the Wild.

A Survey on Deep Learning Techniques for Action Anticipation Anticipating the Start of User Interaction for Service Robot in the Wild

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.759106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:cb05f16ebd316804f1ff29f937dd26ff41019273dc8c517c1b59304fa41dca97

Observation b8582bd2-d1ed-47e5-82dc-3801456fa7f2 · outbound

This paper cites Antici- pation in human-robot cooperation: A recurrent neural network approach for multiple action sequences prediction.

A Survey on Deep Learning Techniques for Action Anticipation Antici- pation in human-robot cooperation: A recurrent neural network approach for multiple action sequences prediction

Reference 21

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verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.732086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:d4afe7d9943468d185e03f45e0cf291b9dd6e23c6d4c72d65daf88cf94f80aea

Observation b48294f6-c5a6-4235-9fc5-05c06d74be68 · outbound

This paper cites Using gaze patterns to predict task intent in collaboration.

A Survey on Deep Learning Techniques for Action Anticipation Using gaze patterns to predict task intent in collaboration

Reference 22

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raw_fallback, observed 2026-05-24T06:46:04.736277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:eab4f67dd79344a9f8ca6c2451e2e8df40d2c664fe6d4039ae89954fb934bcd8

Observation c58806d5-0dcd-41c7-af9e-f73d997f0575 · outbound

This paper cites Generating notifications for missing actions: Don’t forget to turn the lights off!.

A Survey on Deep Learning Techniques for Action Anticipation Generating notifications for missing actions: Don’t forget to turn the lights off!

Reference 23

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verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.744117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:96bf5eac42f866aadb9d37d6c01d3dc067ae6d136c14dc1a01fde0c0e3de98f5

Observation 60ac5d71-a6e2-4b28-b312-87c4f6f44087 · outbound

This paper cites Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization.

A Survey on Deep Learning Techniques for Action Anticipation Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.724307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:9c314998b07efc10403bbe473e9392589d2b54b082b6a6cb8d0277c7583b9a97

Observation 70c64cd7-6d09-48dc-bdb1-b33b4bbce84b · outbound

This paper cites Anticipating traffic accidents with adaptive loss and large-scale incident db.

A Survey on Deep Learning Techniques for Action Anticipation Anticipating traffic accidents with adaptive loss and large-scale incident db

Reference 25

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verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.717524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:acea1bbf6ef160b5f5210053334a4c49383416b79ffcc86dae9b9d9db048ee23

Observation 31ef8c01-bd67-4ebe-81da-ab08d08791ad · outbound

This paper cites A comprehensive survey on human activity prediction.

A Survey on Deep Learning Techniques for Action Anticipation A comprehensive survey on human activity prediction

Reference 26

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verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.721083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:cf89c31b27a171cb3ca2e0132312a3b6253e54b7b8e6ff85573a45af5e54f192

Observation 092e0c3d-6468-4880-a748-b4f73f971041 · outbound

This paper cites Deep Learning for Vision-based Prediction: A Survey.

A Survey on Deep Learning Techniques for Action Anticipation Deep Learning for Vision-based Prediction: A Survey

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:44:02.312821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:dd0ce91fcb9532b7a7481843a66b56e4d45b85b363b0e792682c44b7a6764676

Observation 2d38e59b-eb94-455a-9504-3f21efeecde9 · outbound

This paper cites Human action recognition and prediction: A survey.

A Survey on Deep Learning Techniques for Action Anticipation Human action recognition and prediction: A survey

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.937116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:00a3c72cafda220573700137199146b55a0ec9b44d5754b4e3bb81f79e5c6eea

Observation 159691d6-f1c9-4545-97d4-eb07384954c5 · outbound

This paper cites Pre- dicting the future from first person (egocentric) vision: A survey.

A Survey on Deep Learning Techniques for Action Anticipation Pre- dicting the future from first person (egocentric) vision: A survey

Reference 29

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verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.930331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:4249d627950bf78e7dceae45273441e2efd2faa12c28131252a171c361c5cb40

Observation 1baa58b6-9ebb-4704-857b-882026800c3c · outbound

This paper cites Online human action detection and anticipation in videos: A survey.

A Survey on Deep Learning Techniques for Action Anticipation Online human action detection and anticipation in videos: A survey

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.933842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:137b1b0f5597fced730bc3c7fdc24f86054d39266ee9f5c868eb0a600a74f8ab

Observation 63b86801-93c8-400e-87cb-89b10800d9b5 · outbound

This paper cites An Outlook into the Future of Egocentric Vision.

A Survey on Deep Learning Techniques for Action Anticipation An Outlook into the Future of Egocentric Vision

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:44:02.374681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:76180a87590013610d20767c1c4ea340218a909c6984e83b3a9dd4ac56bf64e6

Observation e178e962-4689-411b-aa54-8f87f97909e0 · outbound

This paper cites Modeling Complex Temporal Compo- sition of Actionlets for Activity Prediction.

A Survey on Deep Learning Techniques for Action Anticipation Modeling Complex Temporal Compo- sition of Actionlets for Activity Prediction

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.940547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:cd129f26b80807ffe1a0a3dacd24c577f40a87f4311434b491e37151f8ec65f0

Observation 3fe9154d-000c-4fbd-af0d-c651a7381854 · outbound

This paper cites Prediction of Human Activity by Discovering Temporal Sequence Patterns.

A Survey on Deep Learning Techniques for Action Anticipation Prediction of Human Activity by Discovering Temporal Sequence Patterns

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.882432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:117a75a1d6e8a1b6301f8de0eaead6f3f304ff99acaec65c3d1325ef6c9dce83

Observation 4b2a144b-cf6b-4976-a295-c2ce7f1f940a · outbound

This paper cites First-person activity forecasting with online inverse reinforcement learning.

A Survey on Deep Learning Techniques for Action Anticipation First-person activity forecasting with online inverse reinforcement learning

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.885528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:106ca3dc1e5673e1d1a57a7044540843fc2954b715859833506870ca573d4211

Observation a67611ff-b687-48d0-8d47-a20303c8bce8 · outbound

This paper cites A poisson process model for activity forecasting.

A Survey on Deep Learning Techniques for Action Anticipation A poisson process model for activity forecasting

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.909464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:daca9f4f4c8d93e794dc099d21cd71ac3efe5f4e4b6cd23a1792f148667bb1bc

Observation 4a3ac75d-de88-403f-bc70-a2742d4cc400 · outbound

This paper cites Predicting Human Activities Using Stochastic Grammar.

A Survey on Deep Learning Techniques for Action Anticipation Predicting Human Activities Using Stochastic Grammar

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.872846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:8cde5055359c0ddf01b5d35f2d3f88a3719ab68572643536ae9902cd190e6454

Observation b67e6aea-f1b3-45d5-8701-b1e576ba801e · outbound

This paper cites Very deep convolutional net- works for large-scale image recognition.

A Survey on Deep Learning Techniques for Action Anticipation Very deep convolutional net- works for large-scale image recognition

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.864378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:1e914d6ddb45cbd3b591406ecbb6dc6368f2635fff38cfcb90a4077d5e9c9dcd

Observation 35907217-fc0f-4ece-bc24-800ac283decd · outbound

This paper cites Deep residual learning for image recognition.

A Survey on Deep Learning Techniques for Action Anticipation Deep residual learning for image recognition

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.869516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:d38317046cd0a9f310485f73fc7feccd0918e902052e6619e3c79f11defb7da0

Observation 69c84691-5aff-4d68-a5c6-65af0a4c70da · outbound

This paper cites Temporal Segment Networks: Towards Good Prac- tices for Deep Action Recognition.

A Survey on Deep Learning Techniques for Action Anticipation Temporal Segment Networks: Towards Good Prac- tices for Deep Action Recognition

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.879440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:cdd5fe49505e263638a790c9ba28f53b20b5b5265dce32376615bf62ecaef4c3

Observation 61444025-640c-43d8-9654-08b0792ecf3e · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

A Survey on Deep Learning Techniques for Action Anticipation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.892240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:a6bf0a3d51050c4f4dd63f482d1975655c514ddc363d2725c206b8ae3441217f

Observation 559a1d1d-c44b-41f4-adfe-615d677618fc · outbound

This paper cites Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset.

A Survey on Deep Learning Techniques for Action Anticipation Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.954842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:2c0e04be6984d6eeae76e2bb2f77f5a7297c184614afcbf7513d777808848bf7

Observation eab1fd8f-9cb5-418b-a1e6-3423ec2e700f · outbound

This paper cites Two-stream convolutional net- works for action recognition in videos.

A Survey on Deep Learning Techniques for Action Anticipation Two-stream convolutional net- works for action recognition in videos

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.847956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:cd32e09a008f175b88a3fae15c01beede8ac793b9193ea55e04cbbd33019bb66

Observation 87ab9945-61eb-4e66-89e3-8871d3246301 · outbound

This paper cites A closer look at spatiotemporal convolutions for action recogni- tion.

A Survey on Deep Learning Techniques for Action Anticipation A closer look at spatiotemporal convolutions for action recogni- tion

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.855264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:45f2bb05b9f2417129257e2eaa2c512f787342e5564d75fbde636ea28f3fa190

Observation 4ffc4c77-41c1-47c8-ace2-e66ab4d88b41 · outbound

This paper cites Mvitv2: Improved multiscale vision trans- formers for classification and detection.

A Survey on Deep Learning Techniques for Action Anticipation Mvitv2: Improved multiscale vision trans- formers for classification and detection

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.844363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:3291bf81bf25253771ef33fdf4d8efcb23da4640bd95be565f9e8a560d865965

Observation 5b34b0f8-bc71-4ed6-b930-532d87a2e609 · outbound

This paper cites RED: Reinforced Encoder- Decoder Networks for Action Anticipation.

A Survey on Deep Learning Techniques for Action Anticipation RED: Reinforced Encoder- Decoder Networks for Action Anticipation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.852183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:2bf4f857e8f707cb9aa23c57c9f6f90a85c0a0fbd29d71741c73e0968e182c9b

Observation 6e4b3720-a349-4d73-9ab3-05144c1c20c4 · outbound

This paper cites When will you do what? - Anticipating Temporal Occurrences of Activities.

A Survey on Deep Learning Techniques for Action Anticipation When will you do what? - Anticipating Temporal Occurrences of Activities

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.905690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:0dcd10f26702523ae007154de2cb102038a2c2b5b0e7d2a57433879f6bcd3e67

Observation fc58f94b-6d20-492d-8046-8154a1392acc · outbound

This paper cites Ego4D: Around the World in 3,000 Hours of Egocentric Video.

A Survey on Deep Learning Techniques for Action Anticipation Ego4D: Around the World in 3,000 Hours of Egocentric Video

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.917818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:0da65e201f312d4aaf0d082b4706ff02ba231ddd1681403ee73f4c7215523933

Observation 7f016363-d730-4ccf-8590-af775b5c11a4 · outbound

This paper cites Uncertainty-Aware Anticipation of Activities.

A Survey on Deep Learning Techniques for Action Anticipation Uncertainty-Aware Anticipation of Activities

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.914215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:d745ca161ee8717f125fc00d4e52b8485920baa392d33a06feb23d06fe0182d2

Observation 10fced87-d5ee-4529-aca8-908356f365bb · outbound

This paper cites On diverse asynchronous activity anticipation.

A Survey on Deep Learning Techniques for Action Anticipation On diverse asynchronous activity anticipation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.876132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:12c80f6b1c5780fc5a560b6cd3717f61155066c1aa4e3ae9b933f18415028442

Observation d907a457-1e9d-48a6-bcf3-91a5b40ae480 · outbound

This paper cites Weakly supervised action learning with rnn based fine-to-coarse modeling.

A Survey on Deep Learning Techniques for Action Anticipation Weakly supervised action learning with rnn based fine-to-coarse modeling

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.843076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:43923c651c372a1314835a025f2731c077b0924e153fa1c4096832f5c7f7b82c

Observation 38f77a66-9371-496c-9dcf-614f6771565b · outbound

This paper cites Ms-tcn: Multi-stage temporal convo- lutional network for action segmentation.

A Survey on Deep Learning Techniques for Action Anticipation Ms-tcn: Multi-stage temporal convo- lutional network for action segmentation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.727853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:84e15dddcfdcf531dd69094c30a5196a94316579eefe82801276c5981d905b6f

Observation 4cb2dbc1-cd47-453c-8c10-d187c949baf7 · outbound

This paper cites Weakly-supervised dense action anticipation.

A Survey on Deep Learning Techniques for Action Anticipation Weakly-supervised dense action anticipation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.740596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:ef4c284e5cf1a2b28de9fe47915e8ddc782873ffd3f0fa698e6a1ec70f0eca52

Observation 747f1008-a1e0-4899-b34d-33611c3503cc · outbound

This paper cites A Variational Auto-Encoder Model for Stochastic Point Pro- cesses.

A Survey on Deep Learning Techniques for Action Anticipation A Variational Auto-Encoder Model for Stochastic Point Pro- cesses

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.762891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:d7d1021bff2b0c667b8f50fb289cea9aa57cc4cfe0d4551d16a5e08e306a9084

Observation fd74d8bb-a5e9-4636-b7e2-a87eea90b730 · outbound

This paper cites Faster r-cnn: Towards real- time object detection with region proposal networks.

A Survey on Deep Learning Techniques for Action Anticipation Faster r-cnn: Towards real- time object detection with region proposal networks

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.827804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:b67e194ef03860a5c964788e2cd89869764d2150e86a07ae40f564fd87597b89

Observation afb14458-ee1a-45a3-82c5-509e8c1925e1 · outbound

This paper cites Mask r-cnn.

A Survey on Deep Learning Techniques for Action Anticipation Mask r-cnn

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.452047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:c749ecd90650958eefbc20e742244f6b37316a0e7119c7386738c9392bfb8572

Observation cfb6a165-8933-49f3-a4ab-881023c53e43 · outbound

This paper cites Imagenet classi- fication with deep convolutional neural networks.

A Survey on Deep Learning Techniques for Action Anticipation Imagenet classi- fication with deep convolutional neural networks

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.525462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:b9b35d596bbbbab87df35500bf54f4d96d7ca57b8c3e60b3df9eb4162091fc5e

Observation 9accb991-fb6f-4ae5-b11b-e01272ca0401 · outbound

This paper cites High five: Recognising human interactions in tv shows.

A Survey on Deep Learning Techniques for Action Anticipation High five: Recognising human interactions in tv shows

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.529305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:6de094c1703b72d9ff63c92a208e21120f508b6e9fb474e2654ffc86c4f1ef09

Observation 042dff29-fb3d-460b-b109-b38b9380d037 · outbound

This paper cites Detecting activities of daily living in first-person camera views.

A Survey on Deep Learning Techniques for Action Anticipation Detecting activities of daily living in first-person camera views

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.559271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:17259d9d62b8c36f97357b2a2ea8b220a4c274865bbdbf6694513940d078adab

Observation 53fcfd84-1365-48ee-9b3d-8b6501ebf5fb · outbound

This paper cites Thumos challenge: Action recognition with a large number of classes.

A Survey on Deep Learning Techniques for Action Anticipation Thumos challenge: Action recognition with a large number of classes

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.492514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:b168a41bd9f8e7d95e4a7ba7dde348de075e81ca675441c904380a888419858e

Observation 4ea745e5-b940-451a-86d8-a2f813c8af3b · outbound

This paper cites Visual forecasting by imitating dynamics in natural sequences.

A Survey on Deep Learning Techniques for Action Anticipation Visual forecasting by imitating dynamics in natural sequences

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.788450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:13d36359a3224ac8feff72be35dc4fff400d0eef0b5ad59ce30a845b16b37c4c

Observation da612db1-8215-4870-8920-6786bf2fa876 · outbound

This paper cites CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016.

A Survey on Deep Learning Techniques for Action Anticipation CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:44:02.369509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:373412c9a312b6e634e189a85aa423dc917767e092b25b82a1eddf0cc63d6a2b

Observation 9fe71379-c8f8-4d94-beb0-10acb66c4c06 · outbound

This paper cites Online action detection.

A Survey on Deep Learning Techniques for Action Anticipation Online action detection

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.770963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:e1d83ddb0fa5aedeeeab91e36192fb5e2e637561896269d4d577ee3582492fb2

Observation fe66f6a8-c06d-4a31-b050-0c4ab4fd66b1 · outbound

This paper cites Unsupervised learning for forecast- ing action representations.

A Survey on Deep Learning Techniques for Action Anticipation Unsupervised learning for forecast- ing action representations

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.780943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:6a9a5f8643b757b4f6954cd61bfb693a587ba6040c45e4b0f0921b5256acf2ce

Observation de4f3130-5af1-4646-ba3f-33d3996f0dab · outbound

This paper cites Knowledge distillation for human action anticipation.

A Survey on Deep Learning Techniques for Action Anticipation Knowledge distillation for human action anticipation

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.898657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:9d94c49206776f041f5da327c11122baeea05eac7b4c622064845028ccd4e75d

Observation 7b208524-25f3-4018-96f0-5e2af0625313 · outbound

This paper cites Anticipating human actions by cor- relating past with the future with Jaccard similarity measures.

A Survey on Deep Learning Techniques for Action Anticipation Anticipating human actions by cor- relating past with the future with Jaccard similarity measures

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.804306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:292bddd3dcba5c9c88a3155781907ca52d9d33817a65a9e82f78f0268bc41abc

Observation 300b796f-74d0-4c93-86bb-7b90bc3d4c1e · outbound

This paper cites The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities.

A Survey on Deep Learning Techniques for Action Anticipation The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.477016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:5440fe04b095324d0353e02d441fbf1e1e40fe82a6830743f87f83a872866ddb

Observation c8497ea2-9272-4d9f-ad28-ad1984c3499c · outbound

This paper cites Anticipative Video Transformer.

A Survey on Deep Learning Techniques for Action Anticipation Anticipative Video Transformer

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.481264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:3c277dbbbb46fd79d965135a9c9ea4cc8069578cf77c79f512aab2ae3b9ca51d

Observation 43af0d8f-fbe4-488c-9ba1-dfe6f620f5a4 · outbound

This paper cites Rescaling egocentric vision: Collection, pipeline and challenges for epic- kitchens-100.

A Survey on Deep Learning Techniques for Action Anticipation Rescaling egocentric vision: Collection, pipeline and challenges for epic- kitchens-100

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.496327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:c6b2464662d1d4d0216e09aaab832872a53e12b65315a8d85e1ac8e5e1bd0888

Observation 33f486ef-198a-4376-b11c-db384399edd3 · outbound

This paper cites In the eye of beholder: Joint learning of gaze and actions in first person video.

A Survey on Deep Learning Techniques for Action Anticipation In the eye of beholder: Joint learning of gaze and actions in first person video

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.542519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:1c2abfe934bba4fadf5b277f74d5039a772dc3bb167b7fd6b7d0344959807296

Observation 21a2c370-08ab-47a1-9647-647631b69e05 · outbound

This paper cites Combining embedded accelerom- eters with computer vision for recognizing food preparation activities.

A Survey on Deep Learning Techniques for Action Anticipation Combining embedded accelerom- eters with computer vision for recognizing food preparation activities

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.426822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:0b8f03b0170ad3b330bc7adf45e74510b86be483482efec0b44ffc83e02874e9

Observation 46ca353c-56c1-4a72-a456-831ae035f573 · outbound

This paper cites Learning To Anticipate Future With Dynamic Context Removal.

A Survey on Deep Learning Techniques for Action Anticipation Learning To Anticipate Future With Dynamic Context Removal

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.430173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:0d816f5000b4cbf2b48a37c0a3e390e5870c37bb9fb62415d20322bb211aa948

Observation bfacdaf6-a6de-40f6-a8e4-9c4eb7ef6974 · outbound

This paper cites Tsm: Temporal shift module for efficient video understanding.

A Survey on Deep Learning Techniques for Action Anticipation Tsm: Temporal shift module for efficient video understanding

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.461865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:50ad815855d39737beafa8d3917d94233f4eb122957af6f67d5f44c1a4098bff

Observation 676c7395-4006-4dc5-bee1-18ecaf373bf0 · outbound

This paper cites Latency mat- ters: Real-time action forecasting transformer.

A Survey on Deep Learning Techniques for Action Anticipation Latency mat- ters: Real-time action forecasting transformer

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.412592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:b99a59461de466e1ecd345dfffcbf7e816b35818e2f442d97d54e4e62aa0211a

Observation 4e78fc35-2e7e-4e4e-96c9-58af12ce263a · outbound

This paper cites Fore- casting future action sequences with neural memory networks.

A Survey on Deep Learning Techniques for Action Anticipation Fore- casting future action sequences with neural memory networks

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.444107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:f958cd01b8b61977818f70410b4a0d7c3a7395bf9b09e8e37180428ec9a30038

Observation d5501bac-b97b-4714-a590-0ae668657568 · outbound

This paper cites Temporal recurrent networks for online action detection.

A Survey on Deep Learning Techniques for Action Anticipation Temporal recurrent networks for online action detection

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.545997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:9b40b0a9af47a4bf3e52d8ed3f8966a5497494b278b7b661cef8bd82ea1d8557

Observation fea4452f-7e1e-4648-865d-c79cfcbf5378 · outbound

This paper cites TTPP: Tempo- ral Transformer with Progressive Prediction for Efficient Action Anticipation.

A Survey on Deep Learning Techniques for Action Anticipation TTPP: Tempo- ral Transformer with Progressive Prediction for Efficient Action Anticipation

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.831665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:b88b9933cf1f71a71ed7f802b91ce4b94f7e7df2ad4bc249b7d13fe994e7468b

Observation 78f05e98-2cbe-42d4-8284-fb50c14b4f4b · outbound

This paper cites LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection.

A Survey on Deep Learning Techniques for Action Anticipation LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:44:02.332249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:e4731626d8578fad117f9db88539985b53f2b3bd0a96cce623da7b9c5f77d5ee

Observation fa775662-7538-4c8d-9388-dfb8eaf0d390 · outbound

This paper cites Learning to Anticipate Egocentric Actions by Imagination.

A Survey on Deep Learning Techniques for Action Anticipation Learning to Anticipate Egocentric Actions by Imagination

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.846553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:2e9aaec483b2b534665997598ce74d895acc534fbc171403a061aa4827629c42

Observation a88dc5bd-ea1c-4044-9a5e-aac436e4f127 · outbound

This paper cites Long short-term transformer for online action detection.

A Survey on Deep Learning Techniques for Action Anticipation Long short-term transformer for online action detection

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.864950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:762a0fa3fc820620b35334f1a047be9a7f3d06c241623731078c8e56f33fb9cb

Observation 37d4259b-7ea5-4ee9-b1cc-3a1d63d9e59a · outbound

This paper cites Oadtr: Online action detection with transformers.

A Survey on Deep Learning Techniques for Action Anticipation Oadtr: Online action detection with transformers

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.812531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:ab3149b140b865687094858fafc298e1fee507366a9acd5e532e93bbb8736fa6

Observation 5b7c096a-dedd-44cb-9129-35e1f16e496d · outbound

This paper cites A Hybrid Egocentric Activity Antici- pation Framework via Memory-Augmented Recurrent and One- shot Representation Forecasting.

A Survey on Deep Learning Techniques for Action Anticipation A Hybrid Egocentric Activity Antici- pation Framework via Memory-Augmented Recurrent and One- shot Representation Forecasting

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.816453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:7c96cb194d697db1f063a0a8a5aab4af56783fd4c9c7eb2edd31d5f1b9e513d3

Observation fb24917b-66b5-4f89-b845-45fdace287b0 · outbound

This paper cites Future Trans- former for Long-term Action Anticipation.

A Survey on Deep Learning Techniques for Action Anticipation Future Trans- former for Long-term Action Anticipation

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.824036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:14a416835ec0063cc5137fd5704d8cc5f62c0a71d740208b5485852ab7ba6b04

Observation 2908d0fe-e1be-4012-bbdc-c7f60ee1af11 · outbound

This paper cites Real-time online video detection with temporal smoothing transformers.

A Survey on Deep Learning Techniques for Action Anticipation Real-time online video detection with temporal smoothing transformers

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.809024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:700ef3cf7911768f7eefdd0634ed7ab51867b96b7c91d08e2f8cdc7d224388db

Observation 6e43bac4-f27b-4463-b36e-4864c511ec55 · outbound

This paper cites Temporal perception and prediction in ego-centric video.

A Survey on Deep Learning Techniques for Action Anticipation Temporal perception and prediction in ego-centric video

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.798500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:ccc0fa77965251d84cb64825853929f0a4bdec4ca8c19914a0787a7b8b302e7d

Observation c12a1842-e1e5-4312-b769-d17d5c092673 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

A Survey on Deep Learning Techniques for Action Anticipation UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-05-24T06:44:02.320377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:0f74e27bcdb97e8787d1a5c7637df9e0e92b2daed6b3d20b43637817e6f84103

Observation f01d008d-8816-416c-96af-44dc3e851685 · outbound

This paper cites Joint predic- tion of activity labels and starting times in untrimmed videos.

A Survey on Deep Learning Techniques for Action Anticipation Joint predic- tion of activity labels and starting times in untrimmed videos

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.823041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:9bf6aa5ef2ba576686ef77287450e3649926b3f6dff7c9bab7416fc77afcfe45

Observation ef716ce1-a61d-4315-a565-46e0d13f0a78 · outbound

This paper cites Learning spatiotemporal features with 3d convolutional net- works.

A Survey on Deep Learning Techniques for Action Anticipation Learning spatiotemporal features with 3d convolutional net- works

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.858167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:50d84b875dd3434496f22382ac444bfc74701ec112ccb71bc03f07b23ec77614

Observation 542487f0-e75a-4f78-883f-8a4fbd9f8d98 · outbound

This paper cites A large-scale benchmark dataset for event recognition in surveillance video.

A Survey on Deep Learning Techniques for Action Anticipation A large-scale benchmark dataset for event recognition in surveillance video

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.951411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:8ad57482ceb31bed6c5004e54acfb2cc2690b3178ac45eba75b4d8a1bcf3d177

Observation b9ac334f-47dd-41e5-805d-50e291efb234 · outbound

This paper cites A database for fine grained activity detection of cooking activities.

A Survey on Deep Learning Techniques for Action Anticipation A database for fine grained activity detection of cooking activities

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.774220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:be428fc3ac7c2f8927b84721d44ebf6949f1338e840ce6e42b5208f9b7816224

Observation b41125b6-6249-4c53-a01c-057c40e402d4 · outbound

This paper cites Egocentric activity predic- tion via event modulated attention.

A Survey on Deep Learning Techniques for Action Anticipation Egocentric activity predic- tion via event modulated attention

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.785018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:cb04ba0d579d76837b94cfa0201c0bd821cec9a89b3f498a369dbc3e41e0a6a0

Observation e998b234-29b1-4c82-b114-1cb081dc6a32 · outbound

This paper cites Pixel-level hand detection with shape-aware structured forests.

A Survey on Deep Learning Techniques for Action Anticipation Pixel-level hand detection with shape-aware structured forests

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.901924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:0ccc0e9e585a1ac2ea0f1185d01637c4429801d4e24975180809ad2fbc20e932

Observation 411a5a9d-f7c0-453d-80ba-6490bbc41ddb · outbound

This paper cites Ssd: Single shot multibox detector.

A Survey on Deep Learning Techniques for Action Anticipation Ssd: Single shot multibox detector

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.944026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:6b1da3a356d6615955984ebde3954c538182447ac9040216abdbae66104cda8c

Observation 6edd2f4c-00a9-4143-8bab-18ede39f470f · outbound

This paper cites Learning to recognize objects in egocentric activities.

A Survey on Deep Learning Techniques for Action Anticipation Learning to recognize objects in egocentric activities

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.760381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:cfdd45e42832e7b3a728f67eefbb298a04d699df8924a16af2a3c2433787362b

Observation e350771d-e7cf-4f07-96df-b682d2dfc3d4 · outbound

This paper cites Learning to recognize daily actions using gaze.

A Survey on Deep Learning Techniques for Action Anticipation Learning to recognize daily actions using gaze

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.751018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:481a95156968a5dc2714f1d6fec691cd9da9898a9fd6f8ed752f3b272ba2542f

Observation f6c21559-1ca9-490d-93bf-e49acbf14ae1 · outbound

This paper cites Peeking Into the Future: Predicting Future Person Activities and Locations in Videos.

A Survey on Deep Learning Techniques for Action Anticipation Peeking Into the Future: Predicting Future Person Activities and Locations in Videos

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.754133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:6a234ae11974f85643148b5bcea2757959b5f066e6197cf059f6153a73034a8d

Observation 539872e4-933a-4ca4-ab18-b034189690e6 · outbound

This paper cites Encoder-decoder with atrous separable convolution for seman- tic image segmentation.

A Survey on Deep Learning Techniques for Action Anticipation Encoder-decoder with atrous separable convolution for seman- tic image segmentation

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.947768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:7804d021e57a48e2dc1567c682a43c02620c720f306c75fd5598be33753a9a0c

Observation 0adf070d-130c-4051-87d3-06ed1a855b67 · outbound

This paper cites Trecvid 2018: Benchmarking video activity detection, video captioning and matching, video storytelling linking and video search.

A Survey on Deep Learning Techniques for Action Anticipation Trecvid 2018: Benchmarking video activity detection, video captioning and matching, video storytelling linking and video search

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.764294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:a2c2f1ca2e9c1a728fe500fb6af2638a0bb870a2fe3971bd1f4600544e6d5ee2

Observation e1c61884-31d4-44a3-806f-17a502b47405 · outbound

This paper cites What Would You Expect? Antic- ipating Egocentric Actions With Rolling-Unrolling LSTMs and Modality Attention.

A Survey on Deep Learning Techniques for Action Anticipation What Would You Expect? Antic- ipating Egocentric Actions With Rolling-Unrolling LSTMs and Modality Attention

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.813260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:67a92ad3edf9d4ce6af33a8d8629a62b23017515c97d13bd7e6518822b0c5524

Observation b51a8173-8c96-4769-8f0f-6bb9fca3387e · outbound

This paper cites Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video.

A Survey on Deep Learning Techniques for Action Anticipation Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:44:03.923090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:69f648c1492f9fd30321635f30070774c1edfd17c8da3f738db8534230c6afac

Observation 27d2da05-28bd-4dbd-86df-84e74d131e80 · outbound

This paper cites Video classifica- tion with channel-separated convolutional networks.

A Survey on Deep Learning Techniques for Action Anticipation Video classifica- tion with channel-separated convolutional networks

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-24T06:46:04.801857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-24T06:41:15.508744Z digest=sha256:6baa3cb77590c7160c267cf2d46fd89946a478d8978a64b55072a83dad95c723

Pith citing papers

Observation 7bb88481-8851-4576-a1b4-451c9119724e · inbound

FlowNar: Scalable Streaming Narration for Long-Form Videos cites this paper.

FlowNar: Scalable Streaming Narration for Long-Form Videos A Survey on Deep Learning Techniques for Action Anticipation

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-06-28T19:12:34.725222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T19:08:36.655886Z digest=sha256:922b72079c56a317bd5b28dc016d19c5278def3a52499fe2ca66ed7dd3a32b54