41 citations · 45 across the 9 of their papers we have counts for
9 papers
Human-to-Human Interaction Detection
Zhenhua Wang, Kaining Ying, Jiajun Meng +1
A comprehensive understanding of interested human-to-human interactions in video streams, such as queuing, handshaking, fighting and chasing, is of immense importance to the survei…
CTVIS: Consistent Training for Online Video Instance Segmentation
Kaining Ying, Qing Zhong, Weian Mao +7
The discrimination of instance embeddings plays a vital role in associating instances across time for online video instance segmentation (VIS). Instance embedding learning is direc…
ISDA: Position-Aware Instance Segmentation with Deformable Attention
Kaining Ying, Zhenhua Wang, Cong Bai +1
Most instance segmentation models are not end-to-end trainable due to either the incorporation of proposal estimation (RPN) as a pre-processing or non-maximum suppression (NMS) as…
Accurate Object Association and Pose Updating for Semantic SLAM
Kaiqi Chen, Jialing Liu, Qinying Chen +2
Current pandemic has caused the medical system to operate under high load. To relieve it, robots with high autonomy can be used to effectively execute contactless operations in hos…
Graph Attention Tracking
Dongyan Guo, Yanyan Shao, Ying Cui +3
Siamese network based trackers formulate the visual tracking task as a similarity matching problem. Almost all popular Siamese trackers realize the similarity learning via convolut…
Consistency-Aware Graph Network for Human Interaction Understanding
Zhenhua Wang, Jiajun Meng, Dongyan Guo +3
Compared with the progress made on human activity classification, much less success has been achieved on human interaction understanding (HIU). Apart from the latter task is much m…
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking
Dongyan Guo, Jun Wang, Ying Cui +2
By decomposing the visual tracking task into two subproblems as classification for pixel category and regression for object bounding box at this pixel, we propose a novel fully con…
End-to-end feature fusion siamese network for adaptive visual tracking
Dongyan Guo, Jun Wang, Weixuan Zhao +3
According to observations, different visual objects have different salient features in different scenarios. Even for the same object, its salient shape and appearance features may…
A Hybrid Loss for Multiclass and Structured Prediction
Qinfeng Shi, Mark Reid, Tiberio Caetano +2
We propose a novel hybrid loss for multiclass and structured prediction problems that is a convex combination of a log loss for Conditional Random Fields (CRFs) and a multiclass hi…