activity
20172021
most citedPix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images

186 citations · 261 across the 10 of their papers we have counts for

collaborators

16 papers

cs.CV2021

Efficient Regional Memory Network for Video Object Segmentation

Haozhe Xie, Hongxun Yao, Shangchen Zhou +2

Recently, several Space-Time Memory based networks have shown that the object cues (e.g. video frames as well as the segmented object masks) from the past frames are useful for seg…

cs.CV20212 cited

Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy

Zikai Zhang, Bineng Zhong, Shengping Zhang +3

A practical long-term tracker typically contains three key properties, i.e. an efficient model design, an effective global re-detection strategy and a robust distractor awareness m…

eess.SP20213 cited

Continuous Prediction of Lower-Limb Kinematics From Multi-Modal Biomedical Signals

Chunzhi Yi, Feng Jiang, Shengping Zhang +6

The fast-growing techniques of measuring and fusing multi-modal biomedical signals enable advanced motor intent decoding schemes of lowerlimb exoskeletons, meeting the increasing d…

cs.CL20207 cited

Object-and-Action Aware Model for Visual Language Navigation

Yuankai Qi, Zizheng Pan, Shengping Zhang +2

Vision-and-Language Navigation (VLN) is unique in that it requires turning relatively general natural-language instructions into robot agent actions, on the basis of the visible en…

cs.CV202031 cited

GRNet: Gridding Residual Network for Dense Point Cloud Completion

Haozhe Xie, Hongxun Yao, Shangchen Zhou +3

Estimating the complete 3D point cloud from an incomplete one is a key problem in many vision and robotics applications. Mainstream methods (e.g., PCN and TopNet) use Multi-layer P…

cs.CV2020186 cited

Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images

Haozhe Xie, Hongxun Yao, Shengping Zhang +2

Recovering the 3D shape of an object from single or multiple images with deep neural networks has been attracting increasing attention in the past few years. Mainstream works (e.g.…