Jihan Yang

Ph.D. student
Department of Electrical and Electronic Engineering
The University of Hong Kong

Email: jihanyang13 [at] gmail [dot] com

[Google Scholar] [GitHub] [Twitter]

Biography

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.

My research interests lie in machine learning and computer vision, with a particular focus on multi-modality and embodied AI.

News

[2024/07] V-IRL was accepted by ECCV 2024
[2024/05] Lowis3D was accepted by T-PAMI
[2024/02] RegionPLC was accepted by CVPR 2024.
[2023/02] PLA was accepted by CVPR 2023.
[2022/09] ST3D++ was accepted by T-PAMI.
[2022/09] SparseKD was accepted by NeurIPS 2022.
[2022/07] DODA was accepted by ECCV 2022.

Codebase

OpenPCDet: An Open-source Toolbox for 3D Object Detection from Point Cloud

OpenPCDet Development Team (Core developer)
June 2020

[CODE] [Bibtex]


@misc{openpcdet2020,
    title={OpenPCDet: An Open-source Toolbox for 3D Object Detection from Point Clouds},
    author={OpenPCDet Development Team},
    howpublished = {\url{https://github.com/open-mmlab/OpenPCDet}},
    year={2020}
}

Selected Publications [Google Scholar]

*: Equal Contribution

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Shengbang Tong*, Ellis Brown*, Penghao Wu*, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Austin Wang, Rob Fergus, Yann LeCun, Saining Xie.

arxiv preprint.
[PDF] [BLOG] [CODE]

V-IRL: Grounding Virtual Intelligence in Real Life
Jihan Yang, Runyu Ding, Ellis Brown, Xiaojuan Qi, Saining Xie.

European Conference on Computer Vision (ECCV), 2024.
[PDF] [BLOG] [CODE]

Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding
Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi.

IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2024.
[PDF]

RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
Jihan Yang*, Runyu Ding*, Weipeng Deng, Zhe Wang, Xiaojuan Qi.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[PDF] [BLOG] [CODE]

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
[PDF] [BLOG] [CODE]

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.
[PDF] [CODE]

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.
[PDF] [CODE]

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.
[PDF] [CODE]

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]
[PDF] [CODE]

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.
[PDF] [CODE]

An adversarial perturbation oriented domain adaptation approach for semantic segmentation
Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, Liang Lin

AAAI, 2020.
[PDF]

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]
[PDF] [CODE]

Best Paper Award Nomination (one of the seven among 1,075 accepted papers) refer to here.

Experience

Courant Institute of Mathematical Sciences, NYU
April 2023 - Present

Research intern with Prof. Saining Xie
Autonomous Driving Group, SenseTime
May 2020 - Oct 2020

Research intern with Dr. Zhe Wang
Youtu Lab, Tencent
Feb 2019 - Feb 2020

Research intern with Dr. Ruiyu Li and Dr. Xiaoyong Shen
Research Group, YITU Technology
Jul 2018 - Sep 2019

Research intern

Honors & Awards

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

Academic Services

Conference Reviewer:

CVPR: 21/22/23/24
ICCV: 21
ECCV: 22/24
NeurIPS: 23/24
ICLR: 24
IROS: 23
AAAI: 21
MM: 24

Journal Reviewer:

IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)
International Journal of Computer Vision (IJCV)

Teaching

ELEC3249 Pattern Recognition and Machine Intelligence		2022-2023
ENGG1310 Electricity and Electronics		2021-2022
ELEC3249 Pattern Recognition and Machine Intelligence		2020-2021