Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T10:28:54.659185Z
Paper Citation Record · LEDGER
Punching Bag vs. Punching Person: Motion Transferability in Videos
As of 22 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2508.00085.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
72 of 72 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4115693f-33fc-4219-8181-005da5fc9ce0 · outbound
This paper cites Ez- clip: Efficient zeroshot video action recognition, 2024.
Punching Bag vs. Punching Person: Motion Transferability in Videos Ez- clip: Efficient zeroshot video action recognition, 2024
Reference 1
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Observation 405fec8c-1b4a-42ea-b130-d70d1fa5dcc0 · outbound
This paper cites T2l: Efficient zero-shot action recognition with temporal to- ken learning.
Punching Bag vs. Punching Person: Motion Transferability in Videos T2l: Efficient zero-shot action recognition with temporal to- ken learning
Reference 2
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Observation dffcc542-6085-409e-b5ad-c3a9a9ee7130 · outbound
This paper cites Are visual- language models effective in action recognition? a compara- tive study, 2024.
Punching Bag vs. Punching Person: Motion Transferability in Videos Are visual- language models effective in action recognition? a compara- tive study, 2024
Reference 3
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Observation 555e39a9-946b-4ec2-bd48-630e798d63c3 · outbound
This paper cites Understanding depth and height percep- tion in large visual-language models.
Punching Bag vs. Punching Person: Motion Transferability in Videos Understanding depth and height percep- tion in large visual-language models
Reference 4
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Observation 842c855e-97d9-468c-abf2-518e5c1b5ca6 · outbound
This paper cites Hierarq: Task-aware hierarchical q-former for enhanced video understanding.
Punching Bag vs. Punching Person: Motion Transferability in Videos Hierarq: Task-aware hierarchical q-former for enhanced video understanding
Reference 5
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Observation 26c3acdc-df14-4c74-8f83-c0dec426f1ef · outbound
This paper cites Rethinking zero-shot video classi- fication: End-to-end training for realistic applications, 2020.
Punching Bag vs. Punching Person: Motion Transferability in Videos Rethinking zero-shot video classi- fication: End-to-end training for realistic applications, 2020
Reference 6
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Observation 40bef970-52e2-428d-9895-065ab544d01e · outbound
This paper cites Temporal attentive alignment for large-scale video domain adaptation.
Punching Bag vs. Punching Person: Motion Transferability in Videos Temporal attentive alignment for large-scale video domain adaptation
Reference 7
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Observation a2c48975-54a3-4ac5-8a6f-265a4387d171 · outbound
This paper cites Elaborative rehearsal for zero-shot action recognition, 2021.
Punching Bag vs. Punching Person: Motion Transferability in Videos Elaborative rehearsal for zero-shot action recognition, 2021
Reference 8
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Observation b48f7bae-281d-483e-9475-52fee87def90 · outbound
This paper cites Unsupervised and semi-supervised domain adaptation for action recognition from drones.
Punching Bag vs. Punching Person: Motion Transferability in Videos Unsupervised and semi-supervised domain adaptation for action recognition from drones
Reference 9
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Observation 8f057fac-3d8c-48de-95e5-9b246f5dd664 · outbound
This paper cites Blender: A 3d modelling and rendering package.
Punching Bag vs. Punching Person: Motion Transferability in Videos Blender: A 3d modelling and rendering package
Reference 10
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Observation ddca8ede-8dbf-4066-8def-58ea508acc06 · outbound
This paper cites Toyota smarthome: Real-world activities of daily living.
Punching Bag vs. Punching Person: Motion Transferability in Videos Toyota smarthome: Real-world activities of daily living
Reference 11
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Observation 51ada693-b875-4acd-a6e1-7be1e5956307 · outbound
This paper cites Tinyvirat: Low-resolution video action recognition.
Punching Bag vs. Punching Person: Motion Transferability in Videos Tinyvirat: Low-resolution video action recognition
Reference 12
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Observation f0ff23fe-fe36-4e6f-a321-f3ce0d58b86d · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.
Punching Bag vs. Punching Person: Motion Transferability in Videos An image is worth 16x16 words: Transformers for image recognition at scale, 2021
Reference 13
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Observation 553bceaa-117c-4b9f-aa92-70bc76cb6523 · outbound
This paper cites Video- capsulenet: a simplified network for action detection.
Punching Bag vs. Punching Person: Motion Transferability in Videos Video- capsulenet: a simplified network for action detection
Reference 14
- Resolution
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Observation b87ed6d3-4280-43d1-94aa-4343d13a4bfa · outbound
This paper cites Pyslowfast.
Punching Bag vs. Punching Person: Motion Transferability in Videos Pyslowfast
Reference 15
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Source-reported events for the cited work
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Observation 33793a46-2486-4553-a5c9-978cf381f416 · outbound
This paper cites Multiscale vision transformers, 2021.
Punching Bag vs. Punching Person: Motion Transferability in Videos Multiscale vision transformers, 2021
Reference 16
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Observation 9e6c1341-cacb-46f8-b59b-8e298e2138f8 · outbound
This paper cites X3d: Expanding architectures for efficient video recognition, 2020.
Punching Bag vs. Punching Person: Motion Transferability in Videos X3d: Expanding architectures for efficient video recognition, 2020
Reference 17
- Resolution
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Observation 2aee4bb9-9796-48e8-9f10-9624da7d811d · outbound
This paper cites Slowfast networks for video recognition, 2019.
Punching Bag vs. Punching Person: Motion Transferability in Videos Slowfast networks for video recognition, 2019
Reference 18
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Observation c78e5c46-f59a-4d99-9ff2-a5241bd8123d · outbound
This paper cites Telling stories for common sense zero-shot action recognition, 2024.
Punching Bag vs. Punching Person: Motion Transferability in Videos Telling stories for common sense zero-shot action recognition, 2024
Reference 19
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Observation 18d9ac81-4234-4882-bb4f-714c43027814 · outbound
This paper cites A new split for evaluating true zero-shot action recognition, 2021.
Punching Bag vs. Punching Person: Motion Transferability in Videos A new split for evaluating true zero-shot action recognition, 2021
Reference 20
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Observation 66a92dda-0919-4f64-b1c7-3f55e16c67c2 · outbound
This paper cites The ”something something” video database for learning and evaluating visual common sense,.
Punching Bag vs. Punching Person: Motion Transferability in Videos The ”something something” video database for learning and evaluating visual common sense,
Reference 21
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Observation 9a60b9a3-745a-4636-b1d3-2804aa873f59 · outbound
This paper cites Hierar- chical explanations for video action recognition, 2023.
Punching Bag vs. Punching Person: Motion Transferability in Videos Hierar- chical explanations for video action recognition, 2023
Reference 22
- Resolution
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Observation 8ed410d2-c1fe-4455-97fd-c8d866d95da5 · outbound
This paper cites Learn- ing spatio-temporal features with 3d residual networks for action recognition, 2017.
Punching Bag vs. Punching Person: Motion Transferability in Videos Learn- ing spatio-temporal features with 3d residual networks for action recognition, 2017
Reference 23
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Observation 2ba387f4-591a-4e58-9223-2267ee05f3c1 · outbound
This paper cites Deep residual learning for image recognition, 2015.
Punching Bag vs. Punching Person: Motion Transferability in Videos Deep residual learning for image recognition, 2015
Reference 24
- Resolution
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Observation e38be4fe-896d-47d8-9618-c7d1c05f16d5 · outbound
This paper cites Froster: Frozen clip is a strong teacher for open-vocabulary action recognition, 2024.
Punching Bag vs. Punching Person: Motion Transferability in Videos Froster: Frozen clip is a strong teacher for open-vocabulary action recognition, 2024
Reference 25
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Observation eafeab26-b4f5-4b32-b2e7-583e9acd9a08 · outbound
This paper cites The kinetics human action video dataset, 2017.
Punching Bag vs. Punching Person: Motion Transferability in Videos The kinetics human action video dataset, 2017
Reference 26
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Observation 75c6528c-4b98-47ce-93c0-57a4c8316807 · outbound
This paper cites Reformulating zero-shot action recognition for multi- label actions.
Punching Bag vs. Punching Person: Motion Transferability in Videos Reformulating zero-shot action recognition for multi- label actions
Reference 27
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Observation ccfcab97-9d39-4f05-a3b2-fbf7886a5449 · outbound
This paper cites Learning Cross-Modal Contrastive Features for Video Do- main Adaptation.
Punching Bag vs. Punching Person: Motion Transferability in Videos Learning Cross-Modal Contrastive Features for Video Do- main Adaptation
Reference 28
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Observation 708a4cc8-a1d7-4cc9-9875-8f6b1a58a02c · outbound
This paper cites Uniformer: Unified transformer for efficient spatiotemporal representation learning, 2022.
Punching Bag vs. Punching Person: Motion Transferability in Videos Uniformer: Unified transformer for efficient spatiotemporal representation learning, 2022
Reference 29
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This paper cites Uniformerv2: Spatiotemporal learning by arming image vits with video uniformer, 2022.
Punching Bag vs. Punching Person: Motion Transferability in Videos Uniformerv2: Spatiotemporal learning by arming image vits with video uniformer, 2022
Reference 30
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This paper cites Videochat: Chat-centric video understanding.
Punching Bag vs. Punching Person: Motion Transferability in Videos Videochat: Chat-centric video understanding
Reference 31
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This paper cites Mvitv2: Improved multiscale vision transformers for classification and detection, 2022.
Punching Bag vs. Punching Person: Motion Transferability in Videos Mvitv2: Improved multiscale vision transformers for classification and detection, 2022
Reference 32
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This paper cites Cross-modal representation learning for zero- shot action recognition, 2022.
Punching Bag vs. Punching Person: Motion Transferability in Videos Cross-modal representation learning for zero- shot action recognition, 2022
Reference 33
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Observation b6e8e80e-5344-418f-b62f-76244a5cb4d8 · outbound
This paper cites Diversifying spatial-temporal perception for video domain generalization.
Punching Bag vs. Punching Person: Motion Transferability in Videos Diversifying spatial-temporal perception for video domain generalization
Reference 34
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Observation b1e6386c-a252-45eb-92d4-43f9adf7725f · outbound
This paper cites CREPE: Can Vision-Language Foundation Models Reason Compositionally?.
Punching Bag vs. Punching Person: Motion Transferability in Videos CREPE: Can Vision-Language Foundation Models Reason Compositionally?
Reference 35
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This paper cites Reversible vision transformers, 2023.
Punching Bag vs. Punching Person: Motion Transferability in Videos Reversible vision transformers, 2023
Reference 36
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This paper cites Something-else: Com- positional action recognition with spatial-temporal interac- tion networks, 2020.
Punching Bag vs. Punching Person: Motion Transferability in Videos Something-else: Com- positional action recognition with spatial-temporal interac- tion networks, 2020
Reference 37
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This paper cites Video action detection: Analysing limitations and chal- lenges.
Punching Bag vs. Punching Person: Motion Transferability in Videos Video action detection: Analysing limitations and chal- lenges
Reference 38
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Observation 892671ef-091a-4b2e-940b-b18ec982919a · outbound
This paper cites Verbs in action: Improving verb understanding in video-language models, 2023.
Punching Bag vs. Punching Person: Motion Transferability in Videos Verbs in action: Improving verb understanding in video-language models, 2023
Reference 39
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Observation 26b927d0-a2b3-4e39-a858-4d3e2c9fd907 · outbound
This paper cites Multi-modal domain adaptation for fine-grained action recognition, 2020.
Punching Bag vs. Punching Person: Motion Transferability in Videos Multi-modal domain adaptation for fine-grained action recognition, 2020
Reference 40
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This paper cites Expanding language-image pretrained models for gen- eral video recognition, 2022.
Punching Bag vs. Punching Person: Motion Transferability in Videos Expanding language-image pretrained models for gen- eral video recognition, 2022
Reference 41
- Resolution
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Observation 787d62e3-cb75-4f10-bf79-827980ed49bd · outbound
This paper cites Object-relation reasoning graph for action recognition.
Punching Bag vs. Punching Person: Motion Transferability in Videos Object-relation reasoning graph for action recognition
Reference 42
- Resolution
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Source-reported events for the cited work
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Observation af83d9fd-e4c4-4241-87f6-ad5a6a0a9629 · outbound
This paper cites Relative norm align- ment for tackling domain shift in deep multi-modal classifi- cation.
Punching Bag vs. Punching Person: Motion Transferability in Videos Relative norm align- ment for tackling domain shift in deep multi-modal classifi- cation
Reference 43
- Resolution
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Observation 68496f9b-d914-4812-92bb-e028a11de5d2 · outbound
This paper cites What can a cook in italy teach a mechanic in in- dia? action recognition generalisation over scenarios and locations.
Punching Bag vs. Punching Person: Motion Transferability in Videos What can a cook in italy teach a mechanic in in- dia? action recognition generalisation over scenarios and locations
Reference 44
- Resolution
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Source-reported events for the cited work
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Observation 38305df2-6c1c-408d-96c8-cb8443595034 · outbound
This paper cites Haupt- mann.
Punching Bag vs. Punching Person: Motion Transferability in Videos Haupt- mann
Reference 45
- Resolution
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Source-reported events for the cited work
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Observation 79955c59-9471-4acf-a6b2-336cc4f9a065 · outbound
This paper cites Learning transferable visual models from natural language supervision, 2021.
Punching Bag vs. Punching Person: Motion Transferability in Videos Learning transferable visual models from natural language supervision, 2021
Reference 46
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Source-reported events for the cited work
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Observation a7f1584f-51af-4333-bc8e-1fbdaf22e13e · outbound
This paper cites Fine-tuned clip models are efficient video learners, 2023.
Punching Bag vs. Punching Person: Motion Transferability in Videos Fine-tuned clip models are efficient video learners, 2023
Reference 47
- Resolution
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Source-reported events for the cited work
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Observation f68b5a43-938a-499c-a654-944542e65419 · outbound
This paper cites Towards a fair evaluation of zero-shot action recognition using external data.
Punching Bag vs. Punching Person: Motion Transferability in Videos Towards a fair evaluation of zero-shot action recognition using external data
Reference 48
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 32fade93-23ff-4d3e-a88c-f4ba88d9696c · outbound
This paper cites Probing conceptual understanding of large visual-language models.
Punching Bag vs. Punching Person: Motion Transferability in Videos Probing conceptual understanding of large visual-language models
Reference 49
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 504c5f4c-144e-40eb-9581-96c993488552 · outbound
This paper cites A Large-Scale Robustness Analysis of Video Action Recognition Models.
Punching Bag vs. Punching Person: Motion Transferability in Videos A Large-Scale Robustness Analysis of Video Action Recognition Models
Reference 50
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d1362599-b1dc-4c80-8eb9-46476637bc94 · outbound
This paper cites Noisyactions2m: A multimedia dataset for video understanding from noisy la- bels.
Punching Bag vs. Punching Person: Motion Transferability in Videos Noisyactions2m: A multimedia dataset for video understanding from noisy la- bels
Reference 51
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f1c0c31e-6a0d-41ee-8d07-c595b425f102 · outbound
This paper cites Learning long-term dependencies for action recognition with a biologically-inspired deep network.
Punching Bag vs. Punching Person: Motion Transferability in Videos Learning long-term dependencies for action recognition with a biologically-inspired deep network
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.905442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 867f2761-c42e-44f3-bd2c-413abf879707 · outbound
This paper cites Dvanet: Disentangling view and action features for multi- view action recognition, 2023.
Punching Bag vs. Punching Person: Motion Transferability in Videos Dvanet: Disentangling view and action features for multi- view action recognition, 2023
Reference 53
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ad117d2e-3ea7-4eb6-9f30-5bf3734c428e · outbound
This paper cites Spatio-temporal contrastive domain adaptation for action recognition.
Punching Bag vs. Punching Person: Motion Transferability in Videos Spatio-temporal contrastive domain adaptation for action recognition
Reference 54
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3a8a2d6c-b30e-4d13-b393-c9b9148f1d3f · outbound
This paper cites Learning That Transfers: Designing Curricu- lum for a Changing World.
Punching Bag vs. Punching Person: Motion Transferability in Videos Learning That Transfers: Designing Curricu- lum for a Changing World
Reference 55
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 587e19bd-fdd5-4757-abeb-31ff0b16b62a · outbound
This paper cites Learning spatiotemporal features with 3d convolutional networks, 2015.
Punching Bag vs. Punching Person: Motion Transferability in Videos Learning spatiotemporal features with 3d convolutional networks, 2015
Reference 56
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9eb3db18-6364-4f5a-ae47-36ee7542ec7a · outbound
This paper cites Actionclip: A new paradigm for video action recognition, 2021.
Punching Bag vs. Punching Person: Motion Transferability in Videos Actionclip: A new paradigm for video action recognition, 2021
Reference 57
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bb5607ac-3cb2-424f-82c7-cc0bd58ec9af · outbound
This paper cites An efficient spatio-temporal pyramid transformer for action detection.
Punching Bag vs. Punching Person: Motion Transferability in Videos An efficient spatio-temporal pyramid transformer for action detection
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.844696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 11fc7ff5-e0d3-41e4-a802-70a19262aa49 · outbound
This paper cites Action recognition using attention-based spatio-temporal vlad net- works and adaptive video sequences optimization.
Punching Bag vs. Punching Person: Motion Transferability in Videos Action recognition using attention-based spatio-temporal vlad net- works and adaptive video sequences optimization
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.834618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2a226360-e3ad-4405-a521-2893ee49c6d0 · outbound
This paper cites Videoclip: Contrastive pre-training for zero-shot video-text understanding, 2021.
Punching Bag vs. Punching Person: Motion Transferability in Videos Videoclip: Contrastive pre-training for zero-shot video-text understanding, 2021
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.824981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 28f64da9-fbcc-474d-84b5-18a267dadf6d · outbound
This paper cites Seman- tic embedding space for zero-shot action recognition, 2015.
Punching Bag vs. Punching Person: Motion Transferability in Videos Seman- tic embedding space for zero-shot action recognition, 2015
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.816065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3c6b1119-2439-4be1-9dc6-6a20fa1adf27 · outbound
This paper cites Interact before align: Leveraging cross-modal knowledge for domain adaptive action recognition.
Punching Bag vs. Punching Person: Motion Transferability in Videos Interact before align: Leveraging cross-modal knowledge for domain adaptive action recognition
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.806924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 85357b52-8ea7-4850-a168-325123912e01 · outbound
This paper cites Aim: Adapting image models for efficient video action recognition, 2023.
Punching Bag vs. Punching Person: Motion Transferability in Videos Aim: Adapting image models for efficient video action recognition, 2023
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.797794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0cef7622-926d-4dc8-af62-601f20884879 · outbound
This paper cites Yu, and Mingsheng Long.
Punching Bag vs. Punching Person: Motion Transferability in Videos Yu, and Mingsheng Long
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.787184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7b86106e-d247-4527-934a-8f81ead14cc9 · outbound
This paper cites Action4d: Online action recognition in the crowd and clutter.
Punching Bag vs. Punching Person: Motion Transferability in Videos Action4d: Online action recognition in the crowd and clutter
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.777616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e540d4b5-4806-4caf-856a-be6a38c73265 · outbound
This paper cites Eliciting in-context learning in vision-language models for videos through curated data dis- tributional properties.
Punching Bag vs. Punching Person: Motion Transferability in Videos Eliciting in-context learning in vision-language models for videos through curated data dis- tributional properties
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.767562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5cd47e77-f37a-4a85-9fe7-41a933ac0fa3 · outbound
This paper cites Derpa- nis.
Punching Bag vs. Punching Person: Motion Transferability in Videos Derpa- nis
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.756813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bda1ab80-2b39-4446-a4d7-1e173f79c10b · outbound
This paper cites Human-object interaction detection via disentangled transformer, 2022.
Punching Bag vs. Punching Person: Motion Transferability in Videos Human-object interaction detection via disentangled transformer, 2022
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.746720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3339db00-70e0-474d-9735-90022abe873b · outbound
This paper cites How can objects help action recognition?, 2023.
Punching Bag vs. Punching Person: Motion Transferability in Videos How can objects help action recognition?, 2023
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.735895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 137d15bd-2b1c-4d35-b8bc-522730ff76cc · outbound
This paper cites Among multi- modal models, we experimented with different variations of CLIP [46] designed for activity recognition.
Punching Bag vs. Punching Person: Motion Transferability in Videos Among multi- modal models, we experimented with different variations of CLIP [46] designed for activity recognition
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.725793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 85cb6713-3110-4fe6-904a-325892f1c910 · outbound
This paper cites pre-train, prompt, and fine-tune.
Punching Bag vs. Punching Person: Motion Transferability in Videos pre-train, prompt, and fine-tune
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T10:28:54.716403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ab13211d-4430-44ab-9f90-072ca0fa2e2e · outbound
This paper cites Pushing”) and the other focuses on fine-grained con- text (e.g., “Pushing something from left to right.
Punching Bag vs. Punching Person: Motion Transferability in Videos Pushing”) and the other focuses on fine-grained con- text (e.g., “Pushing something from left to right
Reference 72
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-06T10:28:54.704808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.