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Video Understanding

1098 directly classified papers

Papers per year

Papers

Boosting Video Representation Learning With Multi-Faceted Integration CVPR 2021
Representing Videos As Discriminative Sub-Graphs for Action Recognition CVPR 2021
On Pursuit of Designing Multi-modal Transformer for Video Grounding EMNLP 2021
Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding EMNLP 2021
Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos EMNLP 2021
Natural Language Video Localization with Learnable Moment Proposals EMNLP 2021
Relation-aware Video Reading Comprehension for Temporal Language Grounding EMNLP 2021
“Train one, Classify one, Teach one” - Cross-surgery transfer learning for surgical step recognition MIDL 2021
Benchmarking Unsupervised Object Representations for Video Sequences JMLR 2021
MEVA: A Large-Scale Multiview, Multimodal Video Dataset for Activity Detection WACV 2021
Video Captioning of Future Frames WACV 2021
Self-Supervised Video Action Localization with Adversarial Temporal Transforms IJCAI 2021
Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction IJCAI 2021
Learning Implicit Temporal Alignment for Few-shot Video Classification IJCAI 2021
Let's See Clearly: Contaminant Artifact Removal for Moving Cameras ICCV 2021
Generating Masks From Boxes by Mining Spatio-Temporal Consistencies in Videos ICCV 2021
STVGBert: A Visual-Linguistic Transformer Based Framework for Spatio-Temporal Video Grounding ICCV 2021
Learning To Track Objects From Unlabeled Videos ICCV 2021
Learning Salient Boundary Feature for Anchor-free Temporal Action Localization CVPR 2021
VideoMoCo: Contrastive Video Representation Learning With Temporally Adversarial Examples CVPR 2021
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection CVPR 2020
Screencast Tutorial Video Understanding CVPR 2020
Periphery-Fovea Multi-Resolution Driving Model Guided by Human Attention WACV 2020
Representing Objects in Video as Space-Time Volumes by Combining Top-Down and Bottom-Up Processes WACV 2020
Architecture Search of Dynamic Cells for Semantic Video Segmentation WACV 2020