Publications

Google Scholar and Bib.

arXiv
Depth Anything V2
Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao.
arXiv, 2024.
[Project] [Paper] [Code] [Demo] [Media]
arXiv
Zero-shot Image Editing with Reference Imitation
Xi Chen, Yutong Feng, Mengting Chen, Yiyang Wang, Shilong Zhang, Yu Liu, Yujun Shen, Hengshuang Zhao.
arXiv, 2024.
[Project] [Paper] [Code] [Demo] [Media]
arXiv
LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence
Zhuoling Li, Xiaogang Xu, Zhenhua Xu, Ser-Nam Lim, Hengshuang Zhao.
arXiv, 2024.
[Project] [Paper] [Demo] [Video]
ECCV
Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting
Zheng Zhang, Wenbo Hu, Yixing Lao, Tong He, Hengshuang Zhao.
European Conference on Computer Vision (ECCV), 2024.
[Project] [Paper] [Code]
ECCV
LivePhoto: Real Image Animation with Text-guided Motion Control
Xi Chen, Zhiheng Liu, Mengting Chen, Yutong Feng, Yu Liu, Yujun Shen, Hengshuang Zhao.
European Conference on Computer Vision (ECCV), 2024.
[Project] [Paper] [Code] [Video]
ECCV
InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping
Zhenhua Xu, Kwan-Yee. K. Wong, Hengshuang Zhao.
European Conference on Computer Vision (ECCV), 2024.
[Project] [Paper] [Code] [Video]
ECCV
OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propagation
Zhenyu Wang, Yali Li, Taichi Liu, Hengshuang Zhao†, Shengjin Wang. (†: corresponding)
European Conference on Computer Vision (ECCV), 2024.
[Paper]
ECCV
LogoSticker: Inserting Logos into Diffusion Models for Customized Generation
Mingkang Zhu, Xi Chen, Zhongdao Wang, Hengshuang Zhao, Jiaya Jia.
European Conference on Computer Vision (ECCV), 2024.
[Project] [Paper] [Code]
ECCV
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation
Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao†, Lei Zhu, Joan Lasenby. (†: corresponding)
European Conference on Computer Vision (ECCV), 2024.
[Project] [Paper] [Code] [Video]
ECCV
Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
Longxiang Tang, Zhuotao Tian, Kai Li, Chunming He, Hantao Zhou, Hengshuang Zhao, Xiu Li, Jiaya Jia.
European Conference on Computer Vision (ECCV), 2024.
[Paper] [Code]
TPAMI
UniDetector: Towards Universal Object Detection with Heterogeneous Supervision
Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao†, Shengjin Wang. (†: corresponding)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
[Paper]
RA-L
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kwan-Yee. K. Wong, Zhenguo Li, Hengshuang Zhao.
IEEE Robotics and Automation Letters (RA-L), 2024.
[Project] [Paper] [Code] [Video]
CVPR
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao.
Computer Vision and Pattern Recognition (CVPR), 2024.
[Project] [Paper] [Code] [Demo] [Media]
CVPR
AnyDoor: Zero-shot Object-level Image Customization
Xi Chen, Lianghua Huang, Yu Liu, Yujun Shen, Deli Zhao, Hengshuang Zhao.
Computer Vision and Pattern Recognition (CVPR), 2024.
[Project] [Paper] [Code] [Demo] [Media]
CVPR Oral
Point Transformer V3: Simpler, Faster, Stronger
Xiaoyang Wu, Li Jiang, Peng-Shuai Wang, Zhijian Liu, Xihui Liu, Yu Qiao, Wanli Ouyang, Tong He, Hengshuang Zhao.
Computer Vision and Pattern Recognition (CVPR), 2024. Oral
Ranked 1st place in the CVPR 2024 Waymo 3D Semantic Segmentation Challenge.
[Paper] [Code]
CVPR
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training
Xiaoyang Wu, Zhuotao Tian, Xin Wen, Bohao Peng, Xihui Liu, Kaicheng Yu, Hengshuang Zhao.
Computer Vision and Pattern Recognition (CVPR), 2024.
[Paper] [Code]
CVPR Highlight
GPT4Point: A Unified Framework for Point-Language Understanding and Generation
Zhangyang Qi, Ye Fang, Zeyi Sun, Xiaoyang Wu, Tong Wu, Jiaqi Wang, Dahua Lin, Hengshuang Zhao.
Computer Vision and Pattern Recognition (CVPR), 2024. Highlight
[Project] [Paper] [Code]
CVPR Highlight
UniMODE: Universal Monocular 3D Object Detection
Zhuoling Li, Xiaogang Xu, Ser-Nam Lim, Hengshuang Zhao.
Computer Vision and Pattern Recognition (CVPR), 2024. Highlight
[Paper]
CVPR
GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding
Chengyao Wang, Li Jiang, Xiaoyang Wu, Zhuotao Tian, Bohao Peng, Hengshuang Zhao†, Jiaya Jia. (†: corresponding)
Computer Vision and Pattern Recognition (CVPR), 2024.
[Paper] [Code]
CVPR
OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation
Bohao Peng, Xiaoyang Wu, Li Jiang, Yukang Chen, Hengshuang Zhao, Zhuotao Tian, Jiaya Jia.
Computer Vision and Pattern Recognition (CVPR), 2024.
[Paper] [Code]
CVPR
DreamComposer: Controllable 3D Object Generation via Multi-View Conditions
Yunhan Yang, Yukun Huang, Xiaoyang Wu, Yuan-Chen Guo, Song-Hai Zhang, Hengshuang Zhao, Tong He, Xihui Liu.
Computer Vision and Pattern Recognition (CVPR), 2024.
[Project] [Paper] [Code]
CVPR
Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding
Zhihao Yuan, Jinke Ren, Chun-Mei Feng, Hengshuang Zhao, Shuguang Cui, Zhen Li.
Computer Vision and Pattern Recognition (CVPR), 2024.
[Project] [Paper] [Code] [Video]
CVPR
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving
Honghui Yang, Sha Zhang, Di Huang, Xiaoyang Wu, Haoyi Zhu, Tong He, Shixiang Tang, Hengshuang Zhao, Qibo Qiu, Binbin Lin, Xiaofei He, Wanli Ouyang.
Computer Vision and Pattern Recognition (CVPR), 2024.
[Paper] [Code]
ICLR Highlight
Influencer Backdoor Attack on Semantic Segmentation
Haoheng Lan, Jindong Gu, Philip Torr, Hengshuang Zhao.
International Conference on Learning Representations (ICLR), 2024. Highlight
[Paper] [Code]
3DV
OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection
Zhangyang Qi, Jiaqi Wang, Xiaoyang Wu, Hengshuang Zhao.
International Conference on 3D Vision (3DV), 2024.
[Paper]
NeurIPS
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao.
Neural Information Processing Systems (NeurIPS), 2023.
[Paper] [Code]
NeurIPS
Uni3DETR: Unified 3D Detection Transformer
Zhenyu Wang, Yali Li, Xi Chen, Hengshuang Zhao†, Shengjin Wang. (†: corresponding)
Neural Information Processing Systems (NeurIPS), 2023.
[Paper] [Code]
NeurIPS
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation
Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao.
Neural Information Processing Systems (NeurIPS), 2023.
[Paper] [Code]
NeurIPS
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
Yixing Lao, Xiaogang Xu, Zhipeng Cai, Xihui Liu, Hengshuang Zhao.
Neural Information Processing Systems (NeurIPS), 2023.
[Project] [Paper] [Code]
ICCV
Open-vocabulary Panoptic Segmentation with Embedding Modulation
Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao.
International Conference on Computer Vision (ICCV), 2023.
[Project] [Paper] [Code]
ICCV
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao, Yinghuan Shi, Hengshuang Zhao.
International Conference on Computer Vision (ICCV), 2023.
[Paper] [Code]
ICCV
BT2: Backward-compatible Training with Basis Transformation
Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Taipeng Tian, Ser-Nam Lim.
International Conference on Computer Vision (ICCV), 2023.
[Paper] [Code]
ICCVW
SAM3D: Segment Anything in 3D Scenes
Yunhan Yang, Xiaoyang Wu, Tong He, Hengshuang Zhao, Xihui Liu.
International Conference on Computer Vision Workshop (ICCVW), 2023.
[Paper] [Code]
CVPR
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning
Xiaoyang Wu, Xin Wen, Xihui Liu, Hengshuang Zhao.
Computer Vision and Pattern Recognition (CVPR), 2023.
[Paper] [Code]
CVPR
Detecting Everything in the Open World: Towards Universal Object Detection
Zhenyu Wang, Yali Li, Xi Chen, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao†, Shengjin Wang. (†: corresponding)
Computer Vision and Pattern Recognition (CVPR), 2023.
[Paper] [Code]
CVPR
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners
Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik Learned-Miller, Chuang Gan.
Computer Vision and Pattern Recognition (CVPR), 2023.
[Proj] [Paper] [Code]
AAAI
Semantics-Aware Dynamic Localization and Refinement for Referring Image Segmentation
Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip Torr.
AAAI Conference on Artificial Intelligence (AAAI), 2023.
[Paper]
IJCAI
Universal Adaptive Data Augmentation
Xiaogang Xu, Hengshuang Zhao.
International Joint Conferences on Artificial Intelligence (IJCAI), 2023.
[Paper] [Code]
IJCV
PhysFormer++: Facial Video-based Physiological Measurement with SlowFast Temporal Difference Transformer
Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Yawen Cui, Jiehua Zhang, Philip Torr, Guoying Zhao.
International Journal of Computer Vision (IJCV), 2023.
[Paper] [Code]
NeurIPS
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling
Xiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao.
Neural Information Processing Systems (NeurIPS), 2022.
[Paper] [Code]
ECCV
MTFormer: Multi-Task Learning via Transformer and Cross-Task Reasoning
Xiaogang Xu*, Hengshuang Zhao*, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba. (*: equal contribution)
European Conference on Computer Vision (ECCV), 2022.
[Paper] [Code]
ECCV
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness
Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip Torr.
European Conference on Computer Vision (ECCV), 2022.
[Paper]
ECCV
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
Xin Lai, Zhuotao Tian, Xiaogang Xu, Yingcong Chen, Shu Liu, Hengshuang Zhao, Liwei wang, Jiaya Jia.
European Conference on Computer Vision (ECCV), 2022.
[Paper] [Code]
RSSW
Towards Visual Social Navigation in Photo-realistic Indoor Scenes
Feng Gao, Hengshuang Zhao, Yu Wang.
Robotics: Science and Systems (RSS) Workshop, 2022.
[Paper]
CVPR
FocalClick: Towards Practical Interactive Image Segmentation
Xi Chen, Zhiyan Zhao, Yilei Zhang, Manni Duan, Donglian Qi, Hengshuang Zhao.
Computer Vision and Pattern Recognition (CVPR), 2022.
[Paper] [Code]
CVPR
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip Torr.
Computer Vision and Pattern Recognition (CVPR), 2022.
[Paper] [Code]
CVPR
Generalized Few-shot Semantic Segmentation
Zhuotao Tian, Xin Lai, Li Jiang, Michelle Shu, Hengshuang Zhao, Jiaya Jia.
Computer Vision and Pattern Recognition (CVPR), 2022.
[Paper] [Code]
CVPR
PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer
Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Philip Torr, Guoying Zhao.
Computer Vision and Pattern Recognition (CVPR), 2022.
[Paper] [Code]
CVPR
Stratified Transformer for 3D Point Cloud Segmentation
Xin Lai, Jianhui Liu, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia.
Computer Vision and Pattern Recognition (CVPR), 2022.
[Paper] [Code]
ICRA
Prototype-Voxel Contrastive Learning for LiDAR Point Cloud Panoptic Segmentation
Minzhe Liu, Zhou Qiang, Hengshuang Zhao, Jianing Li, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang.
International Conference on Robotics and Automation (ICRA), 2022.
[Paper]
TPAMI
Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision
Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Yukang Chen, Lu Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
[Paper] [Code]
TPAMI
Open World Entity Segmentation
Lu Qi, Jason Kuen, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Philip Torr, Zhe Lin, Jiaya Jia.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
[Project] [Paper] [Code]
TPAMI
Adaptive Perspective Distillation for Semantic Segmentation
Zhuotao Tian, Pengguang Chen, Xin Lai, Li Jiang, Shu Liu, Hengshuang Zhao, Bei Yu, Ming-Chang Yang, Jiaya Jia.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
[Paper] [Code]
TPAMI
Patch-based Separable Transformer for Visual Recognition
Shuyang Sun, Xiaoyu Yue, Hengshuang Zhao, Philip Torr, Song Bai.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
[Paper]
NeurIPS
Do Different Tracking Tasks Require Different Appearance Models?
Zhongdao Wang, Hengshuang Zhao, Yali Li, Shengjin Wang, Philip Torr, Luca Bertinetto.
Neural Information Processing Systems (NeurIPS), 2021.
[Project] [Paper] [Code]
BMVC
Hierarchical Interaction Network for Video Object Segmentation from Referring Expressions
Zhao Yang, Yansong Tang, Luca Bertinetto, Hengshuang Zhao, Philip Torr.
British Machine Vision Conference (BMVC), 2021.
[Paper]
ICCV Oral
Point Transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip Torr, Vladlen Koltun.
International Conference on Computer Vision (ICCV), 2021. Oral
[Paper] [Code]
ICCV
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation
Xiaogang Xu, Hengshuang Zhao, Jiaya Jia.
International Conference on Computer Vision (ICCV), 2021.
[Paper] [Code]
CVPR Oral
Bidirectional Projection Network for Cross Dimension Scene Understanding
Wenbo Hu*, Hengshuang Zhao*, Li Jiang, Jiaya Jia, Tien-Tsin Wong. (*: equal contribution)
Computer Vision and Pattern Recognition (CVPR), 2021. Oral
[Project] [Paper] [Code]
CVPR Oral
Fully Convolutional Networks for Panoptic Segmentation
Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia.
Computer Vision and Pattern Recognition (CVPR), 2021. Oral
[Paper] [Code]
CVPR
Distilling Knowledge via Knowledge Review
Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia.
Computer Vision and Pattern Recognition (CVPR), 2021.
[Paper] [Code]
CVPR
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
Mutian Xu, Runyu Ding, Hengshuang Zhao, Xiaojuan Qi.
Computer Vision and Pattern Recognition (CVPR), 2021.
[Paper] [Code]
CVPR
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip Torr, Li Zhang.
Computer Vision and Pattern Recognition (CVPR), 2021.
[Project] [Paper] [Code]
CVPR
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency
Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia.
Computer Vision and Pattern Recognition (CVPR), 2021.
[Paper] [Code]
IJCAI
Dual-Cross Central Difference Network for Face Anti-Spoofing
Zitong Yu, Yunxiao Qin, Hengshuang Zhao, Xiaobai Li, Guoying Zhao.
International Joint Conference on Artificial Intelligence (IJCAI), 2021.
[Paper]
CVPR
Exploring Self-attention for Image Recognition
Hengshuang Zhao, Jiaya Jia, Vladlen Koltun.
Computer Vision and Pattern Recognition (CVPR), 2020.
[Paper] [Code]
CVPR Oral
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Li Jiang*, Hengshuang Zhao*, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia. (*: equal contribution)
Computer Vision and Pattern Recognition (CVPR), 2020. Oral
[Paper] [Code]
TPAMI
Prior Guided Feature Enrichment Network for Few-Shot Segmentation
Zhuotao Tian, Hengshuang Zhao†, Michelle Shu, Zhicheng Yang, Ruiyu Li, Jiaya Jia. (†: corresponding)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
[Paper] [Code]
arXiv
GridMask Data Augmentation
Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia.
arXiv, 2020.
[Paper] [Code]
ICCV
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
Li Jiang, Hengshuang Zhao, Shu Liu, Xiaoyong Shen, Chi-Wing Fu, Jiaya Jia.
International Conference on Computer Vision (ICCV), 2019.
[Paper]
CVPR
PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
Hengshuang Zhao*, Li Jiang*, Chi-Wing Fu, and Jiaya Jia. (*: equal contribution)
Computer Vision and Pattern Recognition (CVPR), 2019.
[Paper] [Code] [Video]
CVPR Oral
UPSNet: A Unified Panoptic Segmentation Network
Yuwen Xiong*, Renjie Liao*, Hengshuang Zhao*, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun. (*: equal contribution)
Computer Vision and Pattern Recognition (CVPR), 2019. Oral
[Paper] [Code]
ECCV
PSANet: Point-wise Spatial Attention Network for Scene Parsing
Hengshuang Zhao*, Yi Zhang*, Shu Liu, Jianping Shi, Chen Change Loy, Dahua Lin, Jiaya Jia. (*: equal contribution)
European Conference on Computer Vision (ECCV), 2018.
Ranked 1st place in the CVPR 2018 WAD Drivable Area Segmentation Challenge.
[Project] [Paper] [Caffe] [PyTorch] [Video] [Supp] [Slides in WAD @ CVPR 2018]
ECCV
Compositing-aware Image Search
Hengshuang Zhao, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Brian Price, Jiaya Jia.
European Conference on Computer Vision (ECCV), 2018.
[Project] [Paper] [Supp]
ECCV
SegStereo: Exploiting Semantic Information for Disparity Estimation
Guorun Yang*, Hengshuang Zhao*, Jianping Shi, Zhidong Deng, Jiaya Jia. (*: equal contribution)
European Conference on Computer Vision (ECCV), 2018.
[Project] [Paper] [Code] [Video] [Supp]
ECCV
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, Jiaya Jia.
European Conference on Computer Vision (ECCV), 2018.
[Project] [Paper] [Code] [Video] [Supp]
CVPR
Pyramid Scene Parsing Network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia.
Computer Vision and Pattern Recognition (CVPR), 2017.
Ranked 1st place in the ECCV 2016 ImageNet Scene Parsing Challenge.
Ranked 1st place in the CVPR 2017 LSUN Semantic Segmentation Challenge.
[Project] [Paper] [Caffe] [PyTorch] [Video] [Slides in ILSVRC2016@ECCV2016]
ECCV
Augmented Feedback in Semantic Segmentation under Image Level Supervision
Xiaojuan Qi, Zhengzhe Liu, Jianping Shi, Hengshuang Zhao, Jiaya Jia.
European Conference on Computer Vision (ECCV), 2016.
[Paper]
AO
Rapid and Automatic 3D Body Measurement System based on a GPU-steger Line Detector
Xingjian Liu, Hengshuang Zhao, Guomin Zhan, Kai Zhong, Zhongwei Li, YuhJin Chao, Yusheng Shi.
Applied Optics, 2016.
[Paper]
SPIE
A High-reflective Surface Measurement Method based on Conoscopic Holography Technology
Xu Cheng, Zhongwei Li, Yusheng Shi, Hengshuang Zhao, Guomin Zhan.
Optical Metrology and Inspection for Industrial Applications III, 2014.
[Paper]