Area of research
Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Pooling, Context (archaeology), Robustness (evolution), and Object detection.
Towards Transferable Adversarial Attacks on Image and Video Transformers
M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
Rethinking Pseudo Labels for Semi-supervised Object Detection
A Coarse-to-Fine Framework for Resource Efficient Video Recognition
A Dynamic Frame Selection Framework for Fast Video Recognition
Cross-X Learning for Fine-Grained Visual Categorization
Temporal Context Network for Activity Localization in Videos
Truncated Cauchy Non-Negative Matrix Factorization
Joint Human Detection and Head Pose Estimation via Multistream Networks for RGB-D Videos