activity
20162022
most citedPerson Re-identification: Past, Present and Future

1k citations · 7k across the 61 of their papers we have counts for

collaborators

61 papers

cs.CV2022★ 69 cited

PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences

Hehe Fan, Xin Yu, Yuhang Ding +2

Point cloud sequences are irregular and unordered in the spatial dimension while exhibiting regularities and order in the temporal dimension. Therefore, existing grid based convolu…

cs.CV2021

Weakly Supervised Person Search with Region Siamese Networks

Chuchu Han, Kai Su, Dongdong Yu +5

Supervised learning is dominant in person search, but it requires elaborate labeling of bounding boxes and identities. Large-scale labeled training data is often difficult to colle…

cs.CV2021

Generating Superpixels for High-resolution Images with Decoupled Patch Calibration

Yaxiong Wang, Yunchao Wei, Xueming Qian +2

Superpixel segmentation has recently seen important progress benefiting from the advances in differentiable deep learning. However, the very high-resolution superpixel segmentation…

cs.CV2021

PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-rigid Structure-from-Motion

Haitian Zeng, Yuchao Dai, Xin Yu +2

We propose PR-RRN, a novel neural-network based method for Non-rigid Structure-from-Motion (NRSfM). PR-RRN consists of Residual-Recursive Networks (RRN) and two extra regularizatio…

cs.CV2021★ 3 cited

ReGO: Reference-Guided Outpainting for Scenery Image

Yaxiong Wang, Yunchao Wei, Xueming Qian +2

We aim to tackle the challenging yet practical scenery image outpainting task in this work. Recently, generative adversarial learning has significantly advanced the image outpainti…

cs.CV2021★ 19 cited

Associating Objects with Transformers for Video Object Segmentation

Zongxin Yang, Yunchao Wei, Yi Yang

This paper investigates how to realize better and more efficient embedding learning to tackle the semi-supervised video object segmentation under challenging multi-object scenarios…