29 citations · 42 across the 7 of their papers we have counts for
7 papers
Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification
Zeqi Chen, Zhichao Cui, Chi Zhang +2
In unsupervised person Re-ID, peer-teaching strategy leveraging two networks to facilitate training has been proven to be an effective method to deal with the pseudo label noise. H…
GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene Graph
Zhixuan Zhang, Chi Zhang, Zhenning Niu +2
In this manuscript, we introduce a semi-automatic scene graph annotation tool for images, the GeneAnnotator. This software allows human annotators to describe the existing relation…
Density-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement
Chi Zhang, Zihang Lin, Liheng Xu +6
The key procedure of haze image translation through adversarial training lies in the disentanglement between the feature only involved in haze synthesis, i.e.style feature, and the…
PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks
Benyi Hu, Ren-Jie Song, Xiu-Shen Wei +3
Despite significant progress of applying deep learning methods to the field of content-based image retrieval, there has not been a software library that covers these methods in a u…
Bimodal Stereo: Joint Shape and Pose Estimation from Color-Depth Image Pair
Chi Zhang, Yuehu Liu, Ying Wu +2
Mutual calibration between color and depth cameras is a challenging topic in multi-modal data registration. In this paper, we are confronted with a "Bimodal Stereo" problem, which…
Joint haze image synthesis and dehazing with mmd-vae losses
Zongliang Li, Chi Zhang, Gaofeng Meng +1
Fog and haze are weathers with low visibility which are adversarial to the driving safety of intelligent vehicles equipped with optical sensors like cameras and LiDARs. Therefore i…
Spatio-Temporal Road Scene Reconstruction using Superpixel Markov Random Field
Yaochen Li, Yuehu Liu, Jihua Zhu +3
Scene model construction based on image rendering is an indispensable but challenging technique in computer vision and intelligent transportation systems. In this paper, we propose…