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Methodology
← Processing
Computer Vision
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Processing
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Video Understanding
1592 directly classified papers
Papers per year
2006: 1
2012: 1
2013: 30
2014: 15
2015: 38
2016: 22
2017: 39
2018: 49
2019: 91
2020: 115
2021: 207
2022: 160
2023: 254
2024: 216
2025: 297
2026: 57
Papers
EgoTaskQA: Understanding Human Tasks in Egocentric Videos
NIPS 2022
InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation
NIPS 2022
Multiview Transformers for Video Recognition
CVPR 2022
Self-Supervised Video Transformer
CVPR 2022
Contextualized Spatio-Temporal Contrastive Learning With Self-Supervision
CVPR 2022
Learning To Answer Questions in Dynamic Audio-Visual Scenarios
CVPR 2022
Sub-Word Level Lip Reading With Visual Attention
CVPR 2022
Future Transformer for Long-Term Action Anticipation
CVPR 2022
Generating Long Videos of Dynamic Scenes
NIPS 2022
Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation
NIPS 2022
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
NIPS 2022
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens
NIPS 2022
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
NIPS 2022
Look More but Care Less in Video Recognition
NIPS 2022
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning
NIPS 2022
D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video
NIPS 2022
Enabling Detailed Action Recognition Evaluation Through Video Dataset Augmentation
NIPS 2022
Towards Video Text Visual Question Answering: Benchmark and Baseline
NIPS 2022
Volumetric-based Contact Point Detection for 7-DoF Grasping
CORL 2022
Time-Space Transformers for Video Panoptic Segmentation
WACV 2022
V-SlowFast Network for Efficient Visual Sound Separation
WACV 2022
Video Salient Object Detection via Contrastive Features and Attention Modules
WACV 2022
Perceptual Consistency in Video Segmentation
WACV 2022
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation
WACV 2022
Exposing the Limits of Video-Text Models through Contrast Sets
NAACL 2022
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