activity
20192024
most citedProgressive LiDAR Adaptation for Road Detection

207 citations · 699 across the 14 of their papers we have counts for

collaborators
Showing cs.CVShow all

19 papers · 1 filter

cs.CV2024

UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather

Haimei Zhao, Jing Zhang, Zhuo Chen +2

LiDAR semantic segmentation (LSS) is a critical task in autonomous driving and has achieved promising progress. However, prior LSS methods are conventionally investigated and evalu…

cs.CV2023★ 2 cited

HandRefiner: Refining Malformed Hands in Generated Images by Diffusion-based Conditional Inpainting

Wenquan Lu, Yufei Xu, Jing Zhang +2

Diffusion models have achieved remarkable success in generating realistic images but suffer from generating accurate human hands, such as incorrect finger counts or irregular shape…

cs.CV2023★ 8 cited

Unified Domain Adaptive Semantic Segmentation

Zhe Zhang, Gaochang Wu, Jing Zhang +3

Unsupervised Domain Adaptive Semantic Segmentation (UDA-SS) aims to transfer the supervision from a labeled source domain to an unlabeled target domain. The majority of existing UD…

cs.CV2022

SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection

Chen Chen, Zhe Chen, Jing Zhang +1

Although point-based networks are demonstrated to be accurate for 3D point cloud modeling, they are still falling behind their voxel-based competitors in 3D detection. We observe t…

cs.CV2021

Out-of-boundary View Synthesis Towards Full-Frame Video Stabilization

Yufei Xu, Jing Zhang, Dacheng Tao

Warping-based video stabilizers smooth camera trajectory by constraining each pixel's displacement and warp stabilized frames from unstable ones accordingly. However, since the vie…

cs.CV2021★ 36 cited

AP-10K: A Benchmark for Animal Pose Estimation in the Wild

Hang Yu, Yufei Xu, Jing Zhang +3

Accurate animal pose estimation is an essential step towards understanding animal behavior, and can potentially benefit many downstream applications, such as wildlife conservation.…