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Video Understanding

1098 directly classified papers

Papers per year

Papers

Frame-Guided Region-Aligned Representation for Video Person Re-Identification AAAI 2020
Rethinking the Bottom-Up Framework for Query-Based Video Localization AAAI 2020
MIMAMO Net: Integrating Micro- and Macro-Motion for Video Emotion Recognition AAAI 2020
KnowIT VQA: Answering Knowledge-Based Questions about Videos AAAI 2020
Reasoning with Heterogeneous Graph Alignment for Video Question Answering AAAI 2020
Rethinking Temporal Fusion for Video-Based Person Re-Identification on Semantic and Time Aspect AAAI 2020
Temporal Interlacing Network AAAI 2020
Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video AAAI 2020
Self-supervised Co-Training for Video Representation Learning NIPS 2020
Labelling unlabelled videos from scratch with multi-modal self-supervision NIPS 2020
SmallBigNet: Integrating Core and Contextual Views for Video Classification CVPR 2020
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications CVPR 2020
A Multigrid Method for Efficiently Training Video Models CVPR 2020
TEA: Temporal Excitation and Aggregation for Action Recognition CVPR 2020
Context-Aware and Scale-Insensitive Temporal Repetition Counting CVPR 2020
METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos CVPR 2020
ZSTAD: Zero-Shot Temporal Activity Detection CVPR 2020
ActionBytes: Learning From Trimmed Videos to Localize Actions CVPR 2020
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification CVPR 2020
Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks AAAI 2020
Robustness Guarantees for Deep Neural Networks on Videos CVPR 2020
A Context-Aware Loss Function for Action Spotting in Soccer Videos CVPR 2020
What Makes Training Multi-Modal Classification Networks Hard? CVPR 2020
X3D: Expanding Architectures for Efficient Video Recognition CVPR 2020
Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning CVPR 2020