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) 3D Computer Vision: 3D scene understanding, 3D reconstruction, 3D generation and editing. (2) Machine Learning: data-efficient learning, multi-modal learning, continual learning, out-of-distribution learning, robust learning. (3) Embodied AI: multi-modal perception, spatial intelligence, embodied navigation, embodied manipulation.

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Selected Publications

Please visit my google scholar profile for the full publication list.
* indicates corresponding author, and # indicates co-corresponding author

	Towards Generative Understanding: Incremental Few-shot Semantic Segmentation with Diffusion Models Qun Li, Lu Huang, Fu Xiao, Na Zhao, Bir Bhanu IEEE Transactions on Image Processing (TIP), 2026 [Project] [Paper] [Code]
	RaLiFlow: Scene Flow Estimation with 4D Radar and LiDAR Point Clouds Jingyun Fu, Zhiyu Xiang#, Na Zhao# 40th AAAI Conference on Artificial Intelligence, 2026 [Preprint] [Code]
	Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis Shangbo Yuan, Jie Xu, Ping Hu, Xiaofeng Zhu, Na Zhao 40th AAAI Conference on Artificial Intelligence, 2026 Oral Presentation [Preprint] [Code]
	AffordBot: 3D Fine-grained Embodied Reasoning via Multimodal Large Language Models Xinyi Wang, Xun Yang#, Yanlong Xu, Yuchen Wu, Zhen Li, Na Zhao# 39th Annual Conference on Neural Information Processing Systems (NeurIPS), 2025 [Preprint] [Code]
	MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm Ziyan Guo, Zeyu HU, De Wen Soh, Na Zhao* International Conference on Computer Vision (ICCV), 2025 [Project][Preprint] [Paper] [Code]
	H3R: Hybrid Multi-view Correspondence for Generalizable 3D Reconstruction Heng Jia, Linchao Zhu, Na Zhao International Conference on Computer Vision (ICCV), 2025 [Preprint] [Paper] [Code]
	Robust Multi-View Learning via Representation Fusion of Sample-Level Attention and Alignment of Simulated Perturbation Jie Xu, Na Zhao#, Gang Niu, Masashi Sugiyama, Xiaofeng Zhu# International Conference on Computer Vision (ICCV), 2025 [Preprint] [Paper] [Code]
	Geometric Alignment and Prior Modulation for View-Guided Point Cloud Completion on Unseen Categories Jingqiao Xiu, Yicong Li, Na Zhao, Han Fang, Xiang Wang, Angela Yao International Conference on Computer Vision (ICCV), 2025 [Paper]
	Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning Yian Li, Wentao Tian, Yang Jiao, Tianwen Qian, Na Zhao, Bin Zhu, Jingjing Chen, Yu-Gang Jiang ACM Multimedia (MM), 2025 [Paper]
	How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation Yining Pan, Qiongjie Cui, Xulei Yang, Na Zhao* International Conference on Machine Learning (ICML), 2025 [Preprint] [Paper] [Code]
	OcSplats: Rendering Occluded Humans with Prior Knowledge Jie Zhang, Qiongjie Cui, Xulei Yang, Na Zhao* IEEE International Conference on Multimedia & Expo (ICME), 2025 [Paper]
	Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection Jiangyi Wang, Na Zhao* IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [Preprint] [Paper] [Code]
	Collaborative Tree Search for Enhancing Embodied Multi-Agent Collaboration Lizheng Zu, Lin Lin, Song Fu, Na Zhao, Pan Zhou IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025 [Paper]
	CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer Hualian Sheng, Sijia Cai, Na Zhao, Bing Deng, Qiao Liang, Min-Jian Zhao, Jieping Ye International Journal on Computer Vision (IJCV), 2025 [Preprint] [Paper] [Code]
	Dual-supervised Asymmetric Co-training for Semi-supervised Medical Domain Generalization Jincai Song, Haipeng Chen, Jun Qin#, Na Zhao# IEEE Transactions on Multimedia (TMM), 2025 [Preprint] [Paper]
	GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians Shuyi Jiang, Qihao Zhao, Hossein Rahmani, De Wen Soh, Jun Liu, Na Zhao* International Conference on Learning Representations (ICLR), 2025 [Preprint] [Code]
	AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring Xinyi Wang, Na Zhao*, Zhiyuan Han, Dan Guo, Xun Yang Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025 [Preprint] [Paper] [Code (Coming soon) ]
	Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization Pengkun Jiao, Na Zhao#, Jingjing Chen#, Yu-Gang Jiang IEEE Transactions on Multimedia (TMM), 2025 [Preprint] [Paper]
	GS^2-GNeSF: Geometry-Semantics Synergy for Generalizable Neural Semantic Fields Chengshun Wang, Na Zhao* ACM Multimedia (MM), 2024 [Paper]
	On-the-fly Point Feature Representation for Point Clouds Analysis Jiangyi Wang, Zhongyao Cheng, Na Zhao#, Jun Cheng, Xulei Yang# ACM Multimedia (MM), 2024 [Preprint] [Paper]
	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 [Preprint] [Paper]
	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 [Preprint] [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]
	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 [Preprint] [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]
	SDCoT++: Improved Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection Na Zhao, Peisheng Qian, Fang Wu, Xun Xu, Xulei Yang, Gim Hee Lee IEEE Transactions on Image Processing (TIP), 2024 [Paper] [Code (Coming soon) ]
	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 [Preprint] [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 [Preprint]
	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 [Preprint] [Paper]
	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 [Preprint] [Paper] [Code]
	Towards Robust Few-shot Point Cloud Semantic Segmentation Yating Xu, Na Zhao, Gim Hee Lee The British Machine Vision Conference (BMVC), 2023 [Preprint] [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 [Preprint] [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 [Preprint] [Code]
	PDR: Progressive Depth Regularization for Monocular 3D Object Detection Hualian Sheng, Sijia Cai, Na Zhao#, Bing Deng, Min-Jian Zhao#, Gim Hee Lee 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 [Preprint] [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 [Preprint] [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 [Preprint] [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 [Preprint] [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 [Preprint] [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 [Preprint] [Paper] [Code]

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Academic Experience

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Teaching Experience