175 citations · 926 across the 22 of their papers we have counts for
22 papers
SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT Measure
Weitao Feng, Zhihao Hu, Baopu Li +3
Multi-Object Tracking (MOT) is a popular topic in computer vision. However, identity issue, i.e., an object is wrongly associated with another object of a different identity, still…
Improving Deep Video Compression by Resolution-adaptive Flow Coding
Zhihao Hu, Zhenghao Chen, Dong Xu +3
In the learning based video compression approaches, it is an essential issue to compress pixel-level optical flow maps by developing new motion vector (MV) encoders. In this work,…
Exploring the Hierarchy in Relation Labels for Scene Graph Generation
Yi Zhou, Shuyang Sun, Chao Zhang +2
By assigning each relationship a single label, current approaches formulate the relationship detection as a classification problem. Under this formulation, predicate categories are…
EcoNAS: Finding Proxies for Economical Neural Architecture Search
Dongzhan Zhou, Xinchi Zhou, Wenwei Zhang +4
Neural Architecture Search (NAS) achieves significant progress in many computer vision tasks. While many methods have been proposed to improve the efficiency of NAS, the search pro…
Computation Reallocation for Object Detection
Feng Liang, Chen Lin, Ronghao Guo +4
The allocation of computation resources in the backbone is a crucial issue in object detection. However, classification allocation pattern is usually adopted directly to object det…
TRB: A Novel Triplet Representation for Understanding 2D Human Body
Haodong Duan, KwanYee Lin, Sheng Jin +3
Human pose and shape are two important components of 2D human body. However, how to efficiently represent both of them in images is still an open question. In this paper, we propos…