About me

I am currently a tenure-track 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, 3D reconstruction. (2) Machine Learning: data-efficient learning, multi-modal learning, continual learning, out-of-distribution learning, robust learning.

Open Positions

News

Selected Publications

Please visit my google scholar profile for the full publication list.
* indicates corresponding author

	GS^2-GNeSF: Geometry-Semantics Synergy for Generalizable Neural Semantic Fields Chengshun Wang, Na Zhao* ACM Multimedia (MM), 2024 [Paper] [Code]
	On-the-fly Point Feature Representation for Point Clouds Analysis Jiangyi Wang, Zhongyao Cheng, Na Zhao#, Jun Cheng, Xulei Yang# # indicates co-corresponding author ACM Multimedia (MM), 2024 [Paper] [Code]
	Unlocking Textual and Visual Wisdom: Open-Vocabulary 3D Object Detection Enhanced by Comprehensive Guidance from Text and Image Pengkun Jiao, Na Zhao*, Jingjing Chen, Yu-Gang Jiang European Conference on Computer Vision (ECCV), 2024 [Paper] [Code]
	View-Consistent 3D Editing with Gaussian Splatting Yuxuan Wang, Xuanyu Yi, Zike Wu, Na Zhao, Long Chen, Hanwang Zhang European Conference on Computer Vision (ECCV), 2024 [Paper] [Code]
	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 Pattern 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]
	Syn-to-Real Unsupervised Domain Adaptation for Indoor 3D Object Detection Yunsong Wang, Na Zhao, Gim Hee Lee The British Machine Vision Conference (BMVC), 2024 [Paper] [Code]
	Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds Yuyang Zhao, Na Zhao, Gim Hee Lee The British Machine Vision Conference (BMVC), 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 Pattern Recognition (CVPR), 2021 [Paper] [Code]
	SESS: Self-Ensembling Semi-Supervised 3D Object Detection Na Zhao, Tat-Seng Chua, Gim Hee Lee IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Oral Presentation [Paper] [Code]
	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]

Research Grants

Academic Experience

Academic Services

Teaching Experience