100 citations · 275 across the 14 of their papers we have counts for
7 papers · 1 filter
Head and Body: Unified Detector and Graph Network for Person Search in Media
Xiujun Shu, Yusheng Tao, Ruizhi Qiao +3
Person search in media has seen increasing potential in Internet applications, such as video clipping and character collection. This task is common but overlooked by previous perso…
Learning to Disentangle Scenes for Person Re-identification
Xianghao Zang, Ge Li, Wei Gao +1
There are many challenging problems in the person re-identification (ReID) task, such as the occlusion and scale variation. Existing works usually tried to solve them by employing…
Exploiting Robust Unsupervised Video Person Re-identification
Xianghao Zang, Ge Li, Wei Gao +1
Unsupervised video person re-identification (reID) methods usually depend on global-level features. And many supervised reID methods employed local-level features and achieved sign…
Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks
Xin Zhang, Xiujun Shu, Bingwen Zhang +3
Radio propagation modeling and prediction is fundamental for modern cellular network planning and optimization. Conventional radio propagation models fall into two categories. Empi…
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…
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…
Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark
Xiao Wang, Xiujun Shu, Zhipeng Zhang +4
Tracking by natural language specification is a new rising research topic that aims at locating the target object in the video sequence based on its language description. Compared…