activity
20172023
most citedImproving Person Re-identification by Attribute and Identity Learning

923 citations · 1.5k across the 23 of their papers we have counts for

collaborators

23 papers

cs.CV2023★ 2 cited

Parsing is All You Need for Accurate Gait Recognition in the Wild

Jinkai Zheng, Xinchen Liu, Shuai Wang +3

Binary silhouettes and keypoint-based skeletons have dominated human gait recognition studies for decades since they are easy to extract from video frames. Despite their success in…

cs.CV2023★ 3 cited

Rethinking Boundary Discontinuity Problem for Oriented Object Detection

Hang Xu, Xinyuan Liu, Haonan Xu +4

Oriented object detection has been developed rapidly in the past few years, where rotation equivariance is crucial for detectors to predict rotated boxes. It is expected that the p…

cs.CV2023★ 1 cited

Hybrid Spectral Denoising Transformer with Guided Attention

Zeqiang Lai, Chenggang Yan, Ying Fu

In this paper, we present a Hybrid Spectral Denoising Transformer (HSDT) for hyperspectral image denoising. Challenges in adapting transformer for HSI arise from the capabilities t…

cs.CV2022★ 4 cited

ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting

Shancheng Fang, Zhendong Mao, Hongtao Xie +3

Scene text spotting is of great importance to the computer vision community due to its wide variety of applications. Recent methods attempt to introduce linguistic knowledge for ch…

cs.CV2022

Gait Recognition in the Wild with Multi-hop Temporal Switch

Jinkai Zheng, Xinchen Liu, Xiaoyan Gu +5

Existing studies for gait recognition are dominated by in-the-lab scenarios. Since people live in real-world senses, gait recognition in the wild is a more practical problem that h…

eess.IV2022★ 3 cited

Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

Yang Liu, Ersi Zhang, Lulu Xu +13

Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) s…