About me
I am currently an Assistant Professor in the Information Systems Technology and Design (ISTD) Pillar at Singapore University of Technology and Design (SUTD). Prior to joining SUTD, I was a Research Fellow in Computer Vision and Robot Perception Lab, Department of Computer Science, National University of Singapore (NUS). I recieved my Ph.D. in Computer Science from NUS in March 2021, supervised by Professor Tat-Seng Chua.
I am heading Intelligent Machine Perception Lab (IMPL) at SUTD, with a primary focus on, but not limited to: (1) Computer Vision: 3D computer vision, (3D) scene understanding. (2) Machine Learning: data-efficient learning, multi-modal learning, continual learning, out-of-distribution learning, robust learning.
Open Positions
- I am looking for PhD applicants with strong background in computer science, fully-supported by SUTD/AISG/SINGA/industry scholarship.
- I am recruiting research fellow (holds a doctoral degree) with relevant research experience on computer vision.
- I am welcoming self-fund or CSC-fund visiting PhD/Master students and local MComp/BComp students with interests in the area of (3D) computer vision and machine learning.
News
- [Jan 2024] One paper about language-guided 3D affordance segmentation is accepted by CVPR 2024!
- [Jan 2024] One paper about semi-supervised 3D instance segmentation is accepted by ICRA 2024!
- [Dec 2023] I am awarded a grant titled "MANTIS - Cross-modality Resiliency against Real-world Attacks" from DSO as the Principal Investigator!
- [Dec 2023] Two papers about semi-supervised 3D object detection and robust visual recognition are accepted by AAAI 2024!
- [Oct 2023] One paper about self-supervised point cloud representation learning is accepted by 3DV 2024 as an oral paper!
- [Sep 2023] One paper about visual domain generalization is accepted by IJCV 2023!
- [Aug 2023] One paper about robust few-shot point cloud segmentation is accepted by BMVC 2023!
- [Aug 2023] I am awarded a grant titled "Towards Realistic Deep Learning for 3D Vision" from A*STAR as the co-Investigator!
- [Jul 2023] One paper about generalized few-shot point cloud segmentation is accepted by ICCV 2023!
- [Jun 2023] One paper about 6-DoF grasps synthesis is accepted by IROS 2023!
- [May 2023] One paper about monocular 3D object detection is accepted by TCSVT 2023!
- [Mar 2023] I am invited to serve as Demo Chair at Sixth IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2023)!
- [Feb 2023] I am invited to join the Organising Committee of IEEE ICME 2023 Workshop on 3D Multimedia Analytics, Search and Generation!
- [Oct 2022] I am awarded a grant titled "Multi-modal Joint Learning for Scene Understanding" from SUTD-ZJU IDEA as the sole Principal Investigator!
- [Sep 2022] I am awarded a grant titled "Data-efficient 3D Object Detection for Robot Perception" from TL@SUTD as the sole Principal Investigator!
- [Aug 2022] I join the Singapore University of Technology and Design as an Assistant Professor!
- [Jul 2022] Three papers are accepted by ECCV 2022!
- [Dec 2021] One paper about class-incremental 3D object detection is accepted by AAAI 2022 as an oral paper!
- [Jun 2021] I am selected for the CVPR 2021 Doctoral Consortium. My mentor is Prof. Serge Belongie!
- [May 2021] I win the IMDA Excellent Prize for my PhD thesis!
- [Mar 2021] I successfully defended my PhD thesis "Towards Learning Scene Semantics on 3D Point Clouds"!
- [Mar 2021] One paper about few-shot 3D semantic segmentation is accepted by CVPR 2021!
- [Aug 2020] I recieve the Research Achievement Award from SoC!
- [Feb 2020] One paper about semi-supervised 3D object detection is accepted by CVPR 2020 as an oral paper!
Selected Publications
Please visit my google scholar profile for the full publication list.
* indicates corresponding author
LASO: Language-guided Affordance Segmentation on 3D Object Yicong Li, Na Zhao, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua IEEE Conference on Computer Vision and Patten Recognition (CVPR), 2024 [Paper] [Code] | |
End-to-End Semi-Supervised 3D Instance Segmentation with PCTeacher Linfeng Li, Na Zhao* IEEE International Conference on Robotics and Automation (ICRA), 2024 [Paper] [Code] | |
Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data Na Zhao*, Gim Hee Lee Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024 [Paper] [Code] | |
Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object Detection Yucheng Han, Na Zhao*, Weiling Chen, Keng-Teck Ma, Hanwang Zhang Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024 [Paper] [Code] | |
Enhancing Generalizability of Representation Learning for Data-Efficient 3D Scene Understanding Yunsong Wang, Na Zhao, Gim Hee Lee International Conference on 3D Vision (3DV), 2024 Oral Presentation [Paper] [Code] | |
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee International Journal on Computer Vision (IJCV), 2023 [Paper] [Code] | |
Towards Robust Few-shot Point Cloud Semantic Segmentation Yating Xu, Na Zhao, Gim Hee Lee The British Machine Vision Conference (BMVC), 2023 [Paper] [Code] | |
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words Yating Xu, Conghui Hu, Na Zhao, Gim Hee Lee International Conference on Computer Vision (ICCV), 2023 [Paper] [Code] | |
Refining 6-DoF Grasps with Context-Specific Classifiers Tasbolat Taunyazov, Heng Zhang, John Patrick Eala, Na Zhao, Harold Soh International Conference on Intelligent Robots and Systems (IROS), 2023 [Paper] [Code] | |
PDR: Progressive Depth Regularization for Monocular 3D Object Detection Hualian Sheng, Sijia Cai, Na Zhao#, Bing Deng, Min-Jian Zhao#, Gim Hee Lee # indicates co-corresponding author IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023 [Paper] | |
Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions Tohar Lukov, Na Zhao, Gim Hee Lee, Ser-Nam Lim European Conference on Computer Vision (ECCV), 2022 [Paper] [Code] | |
Rethinking IoU-based Optimization for Single-stage 3D Object Detection Hualian Sheng, Sijia Cai, Na Zhao*, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Min-Jian Zhao, Gim Hee Lee European Conference on Computer Vision (ECCV), 2022 [Paper] [Code] | |
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee European Conference on Computer Vision (ECCV), 2022 [Paper] [Code] | |
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection Na Zhao, Gim Hee Lee Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022 Oral Presentation [Paper] [Code] | |
Few-shot 3D Point Cloud Semantic Segmentation Na Zhao, Tat-Seng Chua, Gim Hee Lee IEEE Conference on Computer Vision and Patten Recognition (CVPR), 2021 [Paper] [Code] [Video] | |
SESS: Self-Ensembling Semi-Supervised 3D Object Detection Na Zhao, Tat-Seng Chua, Gim Hee Lee IEEE Conference on Computer Vision and Patten Recognition (CVPR), 2020 Oral Presentation [Paper] [Code] [Video] | |
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation Na Zhao, Tat-Seng Chua, Gim Hee Lee 25th International Conference on Pattern Recognition (ICPR), 2020 [Paper] [Code] [Video] |
Research Grants
- Principal Investigator. DSO Research Grant. S$998,000. Dec 2023 - Dec 2026.
Topic: Cross-modality Resiliency against Real-world Attacks - Co-Investigator. A*STAR MTC Programmatic Grant. S$599,950. Aug 2023 - Jul 2026.
Topic: Towards Realistic Deep Learning for 3D Vision - Principal Investigator. SUTD-ZJU Thematic Research Grant. S$148,187. Dec 2022 - Nov 2024.
Topic: Multi-modal Joint Learning for Scene Understanding - Principal Investigator. TL@SUTD Seed Grant. S$85,000. Oct 2022 - Apr 2024.
Topic: Data-efficient 3D Object Detection for Robot Perception
Academic Experience
- Research Fellow. Computer Vision and Robotic Perception Laboratory, NUS. Apr 2021 - Jul 2022.
- Research Associate. Computer Vision and Robotic Perception Laboratory, NUS. Jan 2021 - Mar 2021.
- Research Assistant. NExT++ Rearch Center, NUS. Aug 2015 - Dec 2016.
Academic Services
- Conference Reviewer: ECCV 2024, ICML 2024, CVPR 2021-2024, ICLR 2024, NeurIPS 2023, ICCV 2023, IJCAI 2021-2023, AAAI 2021-2023, BMVC 2022, ECCV 2022, ICCV 2021, MM 2019-2020, PCM 2018
- Journal Reviewer: TKDE, TIP, TCSVT, TOMM, TMM, Multimedia Systems, Neurocomputing, etc
Teaching Experience
- Instructor, 50.007 Machine Learning, Spring 2023 & Spring 2024.
- Mentor, 01.400 Capstone, Fall 2023 & Spring 2024.
- Instructor, 10.020 Data Driven World, Fall 2023.
- Teaching Assistant, CS4242 Social Media Computing, Spring 2018 & Spring 2019.
- Teaching Assistant, CS5340 Uncertainty Modeling in AI, Fall 2018.
- Teaching Assistant, CG3002 Embedded Systems Design Project, Fall 2017.