Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-21T06:03:42.648937Z
Paper Citation Record · LEDGER
Seeing Through Fog: Towards Fog-Invariant Action Recognition
As of 16 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2605.20645.
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 2026-08-16T06:30:59.297886+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
50 of 50 outbound references displayed
- verified exact7
- verified fuzzy42
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 67951039-fd08-4010-860e-416b8dac01ef · outbound
This paper cites Learning general- ized segmentation for foggy-scenes by bi-directional wavelet guidance.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Learning general- ized segmentation for foggy-scenes by bi-directional wavelet guidance
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.552275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c2d0c26c-4491-4961-88ed-df4770279aed · outbound
This paper cites Tsnet: deep network for human action recognition in hazy videos.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Tsnet: deep network for human action recognition in hazy videos
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.562067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 22d1d61b-f1d2-4f27-8e3f-74cc6976edac · outbound
This paper cites Depth-based end-to-end deep network for human action recognition.IET Computer Vision, 13(1):15–22.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Depth-based end-to-end deep network for human action recognition.IET Computer Vision, 13(1):15–22
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.525568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fa61aded-c4f9-4495-9edf-c4bab7545526 · outbound
This paper cites Ost: Refining text knowledge with optimal spatio-temporal descriptor for general video recog- nition.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Ost: Refining text knowledge with optimal spatio-temporal descriptor for general video recog- nition
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.531505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4d116884-9a93-4b48-8a8e-35fd59cbcb84 · outbound
This paper cites Prompt-based test-time real image dehazing: a novel pipeline.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Prompt-based test-time real image dehazing: a novel pipeline
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.503136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 39e33153-063c-4619-8aab-80f53f7f5624 · outbound
This paper cites Dea-net: Single image dehazing based on detail-enhanced convolution and content-guided attention.IEEE Transactions on Image Pro- cessing.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Dea-net: Single image dehazing based on detail-enhanced convolution and content-guided attention.IEEE Transactions on Image Pro- cessing
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.540489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 32ebc236-7d31-4e2d-92c1-049064022858 · outbound
This paper cites A real haze video database for haze level evaluation.
Seeing Through Fog: Towards Fog-Invariant Action Recognition A real haze video database for haze level evaluation
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.518787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d45134d8-87fe-4bcc-9631-01720292b2be · outbound
This paper cites an unresolved cited work.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T06:03:59.512094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a56cdd16-a8d2-4a04-a503-29c3b2b42791 · outbound
This paper cites Rgb- event fusion for robust lane detection.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Rgb- event fusion for robust lane detection
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.565554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5af1866d-1a47-4ead-bd09-20bcac2edab5 · outbound
This paper cites Multi-task learning for video surveillance with limited data.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Multi-task learning for video surveillance with limited data
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.550591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7dd58460-23b9-4ddc-af1d-12ec9768893b · outbound
This paper cites A New Real-World Video Dataset for the Comparison of Defogging Algorithms.
Seeing Through Fog: Towards Fog-Invariant Action Recognition A New Real-World Video Dataset for the Comparison of Defogging Algorithms
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T06:03:59.200855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d3b38e81-4af3-494a-9cbf-4f82ad7aeb10 · outbound
This paper cites Surveillance face presentation attack detection challenge.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Surveillance face presentation attack detection challenge
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.544184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f6cdac01-e8ec-4706-8144-606e8f8b7650 · outbound
This paper cites Robust object detection in challeng- ing weather conditions.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Robust object detection in challeng- ing weather conditions
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.551527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 44cbc3fb-2882-4b12-ab4c-9e2f13274179 · outbound
This paper cites Populating 3d scenes by learning human-scene interaction.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Populating 3d scenes by learning human-scene interaction
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.536985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4580ff47-e187-4fba-acd7-fde27b6c03e8 · outbound
This paper cites Planning-oriented autonomous driving.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Planning-oriented autonomous driving
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.563034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 10814a03-e4da-4be6-a900-47cbae825149 · outbound
This paper cites Hazespace2m: A dataset for haze aware single image dehazing.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Hazespace2m: A dataset for haze aware single image dehazing
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.558626Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e3b36bba-e3be-4303-8e93-5fa6c5893b08 · outbound
This paper cites The Kinetics Human Action Video Dataset.
Seeing Through Fog: Towards Fog-Invariant Action Recognition The Kinetics Human Action Video Dataset
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T06:03:59.185742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 57b634c3-a561-49e3-a69b-a9208231a9bf · outbound
This paper cites Leveraging temporal contextualization for video action recognition.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Leveraging temporal contextualization for video action recognition
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.505845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5e6b73a1-ad30-4eed-a717-ef8bf283f8a0 · outbound
This paper cites Hmdb: a large video database for human motion recognition.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Hmdb: a large video database for human motion recognition
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.533101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 02df47e9-9f51-4d62-8db3-fe237dfb0a70 · outbound
This paper cites Benchmarking single- image dehazing and beyond.IEEE Transactions on Image Processing, 28(1):492–505.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Benchmarking single- image dehazing and beyond.IEEE Transactions on Image Processing, 28(1):492–505
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.556028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1aeccccb-0041-4903-bb2e-6105a51777b8 · outbound
This paper cites Llama-vid: An image is worth 2 tokens in large language models.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Llama-vid: An image is worth 2 tokens in large language models
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.513144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation aadf6f29-ade7-4925-8b29-0b1d42644500 · outbound
This paper cites A lightweight multi-level rela- tion network for few-shot action recognition.
Seeing Through Fog: Towards Fog-Invariant Action Recognition A lightweight multi-level rela- tion network for few-shot action recognition
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.554975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4134401a-d6fc-4440-ba43-bf8695b4e3aa · outbound
This paper cites Storyboard guided Alignment for Fine-grained Video Action Recognition.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Storyboard guided Alignment for Fine-grained Video Action Recognition
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T06:03:59.197764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 64caa8a7-4c26-4b66-bd0b-ba41fc654744 · outbound
This paper cites Narasimhan and Shree K.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Narasimhan and Shree K
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.557770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c2682f2d-15cf-4cd0-98ec-7c327004e928 · outbound
This paper cites Expanding language-image pretrained models for gen- eral video recognition.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Expanding language-image pretrained models for gen- eral video recognition
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.563713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fc81f3c0-7534-445c-a21f-7f59eb6cd293 · outbound
This paper cites Representation Learning with Contrastive Predictive Coding.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Representation Learning with Contrastive Predictive Coding
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T06:03:59.188892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation deba3799-9ca9-4d24-8a60-bd74f0263213 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
Seeing Through Fog: Towards Fog-Invariant Action Recognition DINOv2: Learning Robust Visual Features without Supervision
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T06:03:59.203648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4859bfee-cec9-4904-9d2a-aef84cab880e · outbound
This paper cites Bringing a blurry frame alive at high frame-rate with an event camera.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Bringing a blurry frame alive at high frame-rate with an event camera
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.564736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 33e65dbe-23b1-4fbc-b80c-aed52335e0a0 · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Learning transferable visual models from natural language supervi- sion
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.536710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4d766c97-7081-45f5-94ce-dc9db2ffeb77 · outbound
This paper cites Fine-tuned clip models are efficient video learners.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Fine-tuned clip models are efficient video learners
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.553142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f98fb2a6-f22f-4fe9-9646-6bd085a8d66c · outbound
This paper cites Model adaptation with synthetic and real data for semantic dense foggy scene understanding.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Model adaptation with synthetic and real data for semantic dense foggy scene understanding
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.559557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fd2d403b-17d9-46c1-89c9-ee7c4a42a83e · outbound
This paper cites Seman- tic foggy scene understanding with synthetic data.Interna- tional Journal of Computer Vision, 126:973–992.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Seman- tic foggy scene understanding with synthetic data.Interna- tional Journal of Computer Vision, 126:973–992
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.516128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9a0fa117-64ec-4b36-b33c-b1998e78d25e · outbound
This paper cites Acdc: The adverse condi- tions dataset with correspondences for robust semantic driv- ing scene perception.arXiv e-prints, pages arXiv–2104.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Acdc: The adverse condi- tions dataset with correspondences for robust semantic driv- ing scene perception.arXiv e-prints, pages arXiv–2104
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.540849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ae923aca-836f-4c79-ad0c-eff0e32009af · outbound
This paper cites A dataset of 101 human action classes from videos in the wild.Center for Research in Computer Vision, 2(11):1–7.
Seeing Through Fog: Towards Fog-Invariant Action Recognition A dataset of 101 human action classes from videos in the wild.Center for Research in Computer Vision, 2(11):1–7
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.547028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4c9b9e08-537c-4180-b85e-a755a07e9a66 · outbound
This paper cites Action recognition in haze using an efficient fusion of spatial and temporal features.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Action recognition in haze using an efficient fusion of spatial and temporal features
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.535176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d0c286ab-9049-463d-8cdc-099288354131 · outbound
This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural information processing systems, 35:10078–10093.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural information processing systems, 35:10078–10093
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.542819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 34699874-826a-459e-8dc4-dc9f24cf3295 · outbound
This paper cites Light-dehazenet: a novel lightweight cnn architecture for single image dehazing.IEEE transactions on image processing, 30:8968–8982.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Light-dehazenet: a novel lightweight cnn architecture for single image dehazing.IEEE transactions on image processing, 30:8968–8982
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.515133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ed680049-fdf4-4f79-8df8-e8b8d26c433b · outbound
This paper cites Actionclip: Adapting language-image pretrained models for video action recognition.IEEE Trans- actions on Neural Networks and Learning Systems.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Actionclip: Adapting language-image pretrained models for video action recognition.IEEE Trans- actions on Neural Networks and Learning Systems
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.522660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1b76d017-f14a-406a-baf7-c61918b4b416 · outbound
This paper cites A multimodal, multi-task adapting frame- work for video action recognition.
Seeing Through Fog: Towards Fog-Invariant Action Recognition A multimodal, multi-task adapting frame- work for video action recognition
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.556833Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6523f70d-f003-45d5-912e-f1ef570f263e · outbound
This paper cites Ucl-dehaze: Towards real-world image dehazing via unsupervised contrastive learning.IEEE Transactions on Im- age Processing.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Ucl-dehaze: Towards real-world image dehazing via unsupervised contrastive learning.IEEE Transactions on Im- age Processing
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.542384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 55c74bb3-f861-455c-8833-8d0f92381618 · outbound
This paper cites Vita-clip: Video and text adaptive clip via multimodal prompting.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Vita-clip: Video and text adaptive clip via multimodal prompting
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.560381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 951a007a-39bf-4f96-83c2-71c1904a7943 · outbound
This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T06:03:59.191922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ed65a019-381f-4bdd-8064-eece049f8e44 · outbound
This paper cites What can simple arithmetic op- erations do for temporal modeling? InProceedings of the IEEE/CVF international conference on computer vision, pages 13712–13722.
Seeing Through Fog: Towards Fog-Invariant Action Recognition What can simple arithmetic op- erations do for temporal modeling? InProceedings of the IEEE/CVF international conference on computer vision, pages 13712–13722
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.554053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4d2fa56a-60eb-4fc6-91b6-13713ba88ad7 · outbound
This paper cites Bidirectional cross- modal knowledge exploration for video recognition with pre-trained vision-language models.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Bidirectional cross- modal knowledge exploration for video recognition with pre-trained vision-language models
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.546041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 435917c8-3d9b-4000-b864-524a9adcbac3 · outbound
This paper cites Video dehazing via a multi-range temporal alignment network with physical prior.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Video dehazing via a multi-range temporal alignment network with physical prior
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.548832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5c66ff12-8c8d-42b0-a39d-3a0b99be1c67 · outbound
This paper cites Language- driven all-in-one adverse weather removal.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Language- driven all-in-one adverse weather removal
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.561389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 119103ea-5fcf-46b9-94a5-4b662a588ead · outbound
This paper cites AIM: Adapting Image Models for Efficient Video Action Recognition.
Seeing Through Fog: Towards Fog-Invariant Action Recognition AIM: Adapting Image Models for Efficient Video Action Recognition
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T06:03:59.194902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 605782a9-ff4e-41be-aa49-85055bae893b · outbound
This paper cites Dehaze- mamba: large multi-modal model guided single image de- hazing via mamba.Visual Intelligence, 3(1):11.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Dehaze- mamba: large multi-modal model guided single image de- hazing via mamba.Visual Intelligence, 3(1):11
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.547997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6c34deaf-8b1d-463a-9e1f-2c5caa03ad8d · outbound
This paper cites Learning to restore hazy video: A new real-world dataset and a new method.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Learning to restore hazy video: A new real-world dataset and a new method
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.517887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9bb4f279-8199-49a5-814f-630f91d6ed7e · outbound
This paper cites Dehazing evaluation: Real-world benchmark datasets, criteria, and baselines.IEEE Transactions on Image Processing, 29:6947–6962.
Seeing Through Fog: Towards Fog-Invariant Action Recognition Dehazing evaluation: Real-world benchmark datasets, criteria, and baselines.IEEE Transactions on Image Processing, 29:6947–6962
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T06:03:59.521603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.