Co-occurring keywords · papers mentioning both
Papers
Learning To Refactor Action and Co-Occurrence Features for Temporal Action Localization
CVPR 2022
Learning Video Representations of Human Motion From Synthetic Data
CVPR 2022
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space
NeurIPS 2022
Long-Short Temporal Contrastive Learning of Video Transformers
CVPR 2022
Look More but Care Less in Video Recognition
NeurIPS 2022
MLP-3D: A MLP-Like 3D Architecture With Grouped Time Mixing
CVPR 2022
MM-ViT: Multi-Modal Video Transformer for Compressed Video Action Recognition
WACV 2022
Motion-Aware Contrastive Video Representation Learning via Foreground-Background Merging
CVPR 2022
Motion-Modulated Temporal Fragment Alignment Network for Few-Shot Action Recognition
CVPR 2022
mRI: Multi-modal 3D Human Pose Estimation Dataset using mmWave, RGB-D, and Inertial Sensors
NeurIPS 2022
Multi-dataset Training of Transformers for Robust Action Recognition
NeurIPS 2022
Multi-Grained Spatio-Temporal Features Perceived Network for Event-Based Lip-Reading
CVPR 2022
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences With Static Models by Fitting Feature-Level Space-Time Surfaces
CVPR 2022
NUTA: Non-Uniform Temporal Aggregation for Action Recognition
WACV 2022
Object-Region Video Transformers
CVPR 2022
Object-Relation Reasoning Graph for Action Recognition
CVPR 2022
PERF-Net: Pose Empowered RGB-Flow Net
WACV 2022
Pose and Joint-Aware Action Recognition
WACV 2022
Probabilistic Representations for Video Contrastive Learning
CVPR 2022
Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection
CVPR 2022
RCL: Recurrent Continuous Localization for Temporal Action Detection
CVPR 2022
RegionViT: Regional-to-Local Attention for Vision Transformers
ICLR 2022
Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement
IJCAI 2022
Rethinking Resolution in the Context of Efficient Video Recognition
NeurIPS 2022
Rethinking the Two-Stage Framework for Grounded Situation Recognition
AAAI 2022