100 citations · 232 across the 6 of their papers we have counts for
6 papers
SKFlow: Learning Optical Flow with Super Kernels
Shangkun Sun, Yuanqi Chen, Yu Zhu +2
Optical flow estimation is a classical yet challenging task in computer vision. One of the essential factors in accurately predicting optical flow is to alleviate occlusions betwee…
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…
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering
Yurui Ren, Ge Li, Yuanqi Chen +2
Generating portrait images by controlling the motions of existing faces is an important task of great consequence to social media industries. For easy use and intuitive control, se…
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…