100 citations · 139 across the 8 of their papers we have counts for
8 papers
Unified and Dynamic Graph for Temporal Character Grouping in Long Videos
Xiujun Shu, Wei Wen, Liangsheng Xu +6
Video temporal character grouping locates appearing moments of major characters within a video according to their identities. To this end, recent works have evolved from unsupervis…
Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition
Peipei Zhu, Xiao Wang, Yong Luo +4
The goal of unpaired image captioning (UIC) is to describe images without using image-caption pairs in the training phase. Although challenging, we except the task can be accomplis…
LiT: Zero-Shot Transfer with Locked-image text Tuning
Xiaohua Zhai, Xiao Wang, Basil Mustafa +4
This paper presents contrastive-tuning, a simple method employing contrastive training to align image and text models while still taking advantage of their pre-training. In our emp…
Learn to Match: Automatic Matching Network Design for Visual Tracking
Zhipeng Zhang, Yihao Liu, Xiao Wang +2
Siamese tracking has achieved groundbreaking performance in recent years, where the essence is the efficient matching operator cross-correlation and its variants. Besides the remar…
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows
Xiao Wang, Jianing Li, Lin Zhu +6
Different from visible cameras which record intensity images frame by frame, the biologically inspired event camera produces a stream of asynchronous and sparse events with much lo…
Semantic-guided Pixel Sampling for Cloth-Changing Person Re-identification
Xiujun Shu, Ge Li, Xiao Wang +2
Cloth-changing person re-identification (re-ID) is a new rising research topic that aims at retrieving pedestrians whose clothes are changed. This task is quite challenging and has…
MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking
Xiao Wang, Xiujun Shu, Shiliang Zhang +4
Many RGB-T trackers attempt to attain robust feature representation by utilizing an adaptive weighting scheme (or attention mechanism). Different from these works, we propose a new…
Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmark
Xiujun Shu, Xiao Wang, Xianghao Zang +4
Person re-identification (re-ID) in the scenario with large spatial and temporal spans has not been fully explored. This is partially because that, existing benchmark datasets were…