3.4k citations · 6.2k across the 136 of their papers we have counts for
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Cascading Convolutional Color Constancy
Huanglin Yu, Ke Chen, Kaiqi Wang +3
Regressing the illumination of a scene from the representations of object appearances is popularly adopted in computational color constancy. However, it's still challenging due to…
Discriminative Adversarial Domain Adaptation
Hui Tang, Kui Jia
Given labeled instances on a source domain and unlabeled ones on a target domain, unsupervised domain adaptation aims to learn a task classifier that can well classify target insta…
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots
Qi Chen, Lin Sun, Zhixin Wang +2
Accurate 3D object detection in LiDAR based point clouds suffers from the challenges of data sparsity and irregularities. Existing methods strive to organize the points regularly,…
W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression
Zelin Xu, Ke Chen, Kui Jia
Solving 6D pose estimation is non-trivial to cope with intrinsic appearance and shape variation and severe inter-object occlusion, and is made more challenging in light of extrinsi…
Geometry-Aware Generation of Adversarial Point Clouds
Yuxin Wen, Jiehong Lin, Ke Chen +2
Machine learning models have been shown to be vulnerable to adversarial examples. While most of the existing methods for adversarial attack and defense work on the 2D image domain,…
Multi-marginal Wasserstein GAN
Jiezhang Cao, Langyuan Mo, Yifan Zhang +3
Multiple marginal matching problem aims at learning mappings to match a source domain to multiple target domains and it has attracted great attention in many applications, such as…