I am currently a PhD student (2020-) at EEE, The University of Hong Kong, advised by Dr. Xiaojuan Qi. Before that I obtained my Bachelor's degree from Sun Yat-sen University, supervised by Prof. Liang Lin and Prof. Guanbin Li. I am also working closely with Ruijia Xu, Dr. Shaoshuai Shi, Runyu Ding and Dr. Zhe Wang.
My research interests focus on Embodied AI and 3D vision, especially the unsupervised representation learning, tranfer learning and multi-modality learning.
OpenPCDet: An Open-source Toolbox for 3D Object Detection from Point Cloud
OpenPCDet Development Team
*: Equal Contribution
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
Jihan Yang*, Runyu Ding*, Zhe Wang, Xiaojuan Qi.
PLA: Language-driven Open-Vocabulary 3D Scene Understanding
Runyu Ding*, Jihan Yang*, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Towards Efficient 3D Object Detection with Knowledge Distillation
Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi
Advances in Neural Information Processing Systems (NeurIPS) 2022.
ST3D++: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2022.
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Indoor Semantic Segmentation
Runyu Ding*, Jihan Yang*, Xiaojuan Qi
European Conference on Computer Vision (ECCV), 2022.
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
Ruifei He*, Jihan Yang*, Xiaojuan Qi
IEEE International Conference on Computer Vision (ICCV), 2021. [Oral]
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
Jihan Yang*, Shaoshuai Shi*, Zhe Wang, Hongsheng Li, Xiaojuan Qi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
An adversarial perturbation oriented domain adaptation approach for semantic segmentation
Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin
IEEE International Conference on Computer Vision (ICCV), 2019.[Oral]
Best Paper Award Nomination (one of the seven among 1,075 accepted papers) refer to here.
Student Intern, Apirl 2023 - Present, Courant Institute of Mathematical Sciences at NYU.
Working with Prof. Saining Xie
Research Intern, May 2020 - Oct 2020, Autonomous Driving Group of SenseTime, China.
Working with Dr. Zhe Wang.
|2nd place on 3D detection, 3D tracking and domain adaptation three tracks of Waymo Open Challenges||2020|
|Postgraduate Scholarship, HKU||2020 - 2024|
|Best Paper Nomination, IEEE International Conference on Computer Vision (0.2%)||2019|
|Excellent Graduate Award of Sun Yat-sen University (2%)||2019|
|Excellent Dissertations of Sun Yat-sen University (2%)||2019|
|First Prize Scholarship of Sun Yat-sen University (4%)||2017, 2018|
|ELEC3249 Pattern Recognition and Machine Intelligence||2022-2023|
|ENGG1310 Electricity and Electronics||2021-2022|
|ELEC3249 Pattern Recognition and Machine Intelligence||2020-2021|