39 citations · 67 across the 5 of their papers we have counts for
5 papers
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching
Xiaoyong Lu, Yaping Yan, Bin Kang +1
Heavy computation is a bottleneck limiting deep-learningbased feature matching algorithms to be applied in many realtime applications. However, existing lightweight networks optimi…
PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points
Jing Tan, Xiaotong Zhao, Xintian Shi +2
Traditional temporal action detection (TAD) usually handles untrimmed videos with small number of action instances from a single label (e.g., ActivityNet, THUMOS). However, this se…
DPNet: Dual-Path Network for Real-time Object Detection with Lightweight Attention
Quan Zhou, Huimin Shi, Weikang Xiang +3
The recent advances of compressing high-accuracy convolution neural networks (CNNs) have witnessed remarkable progress for real-time object detection. To accelerate detection speed…
FPB: Feature Pyramid Branch for Person Re-Identification
Suofei Zhang, Zirui Yin, Xiofu Wu +3
High performance person Re-Identification (Re-ID) requires the model to focus on both global silhouette and local details of pedestrian. To extract such more representative feature…
TEA: Temporal Excitation and Aggregation for Action Recognition
Yan Li, Bin Ji, Xintian Shi +3
Temporal modeling is key for action recognition in videos. It normally considers both short-range motions and long-range aggregations. In this paper, we propose a Temporal Excitati…