5 citations · 12 across the 6 of their papers we have counts for
6 papers
Edge-based Monocular Thermal-Inertial Odometry in Visually Degraded Environments
Yu Wang, Haoyao Chen, Yufeng Liu +1
State estimation in complex illumination environments based on conventional visual-inertial odometry is a challenging task due to the severe visual degradation of the visual camera…
Change Point Detection for High-dimensional Linear Models: A General Tail-adaptive Approach
Bin Liu, Zhengling Qi, Xinsheng Zhang +1
We propose a novel approach for detecting change points in high-dimensional linear regression models. Unlike previous research that relied on strict Gaussian/sub-Gaussian error ass…
Improving Robustness for Pose Estimation via Stable Heatmap Regression
Yumeng Zhang, Li Chen, Yufeng Liu +3
Deep learning methods have achieved excellent performance in pose estimation, but the lack of robustness causes the keypoints to change drastically between similar images. In view…
Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration
Xingyu Chen, Yufeng Liu, Chongyang Ma +6
Recent years have witnessed significant progress in 3D hand mesh recovery. Nevertheless, because of the intrinsic 2D-to-3D ambiguity, recovering camera-space 3D information from a…
Regressive Domain Adaptation for Unsupervised Keypoint Detection
Junguang Jiang, Yifei Ji, Ximei Wang +3
Domain adaptation (DA) aims at transferring knowledge from a labeled source domain to an unlabeled target domain. Though many DA theories and algorithms have been proposed, most of…
Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB
Yumeng Zhang, Li Chen, Yufeng Liu +2
Insufficient labeled training datasets is one of the bottlenecks of 3D hand pose estimation from monocular RGB images. Synthetic datasets have a large number of images with precise…