Zidong Cao

I am a third-year PhD student at HKUST (GZ campus), fortunately supervised by Prof. Hui Xiong.

I received my Bachelor and Master degree from Xi'an Jiaotong University in 2019 and 2022 respectively, fortunately supervised by Prof. Zejian Yuan and Dr. Ang Li.

My previous research focuses on vision foundation model, and 360 vision. Recently, I focus on generative recommendation model (GRM). Welcome to have collaboration with me!

Email / Google Scholar / GitHub

News

2025-09: ST2360D is accepted by NeurIPS 2025.

2025-03: PanDA is accepted by CVPR 2025.

2024-09: CRF360D is accepted by RAL & ICRA 2025.

2024-06: DESR is accepted by TAI 2024.

2023-07: OmniZoomer is accepted by ICCV 2023.

Preprint

	Learning High-Quality Navigation and Zooming on Omnidirectional Images in Virtual Reality Zidong Cao, Zhan Wang, Yexin Liu, Yan-Pei Cao, Ying Shan, Wei Zeng, Lin Wang arXiv preprint, 2024 Paper
	Hi-Map: Hierarchical Factorized Radiance Field for High-Fidelity Monocular Dense Mapping Tongyan Hua, Haotian Bai, Zidong Cao, Ming Liu, Dacheng Tao, Lin Wang arXiv preprint, 2024 Paper

First Author Publications

	ST2360D: Spatial-to-Temporal Consistency for Training-free 360 Monocular Depth Estimation Zidong Cao, Jinjing Zhu, Hao Ai, Lutao Jiang, Yuanhuiyi Lyu, Hui Xiong The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS)*, 2025 Paper
	PanDA: Towards Panoramic Depth Anything with Unlabeled Panoramas and Mobius Spatial Augmentation Zidong Cao, Jinjing Zhu, Weiming Zhang, Hao Ai, Haotian Bai, Hengshuang Zhao, Lin Wang Conference on Computer Vision and Pattern Recognition (CVPR), 2025 Paper / Code
	Monocular 360 Depth Estimation via Spherical Fully-Connected CRFs Zidong Cao, Lin Wang IEEE Robotics and Automation Letters (RAL), IEEE International Conference on Robotics & Automation (ICRA), 2025 Paper / Code
	360 High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer Zidong Cao, Hao Ai, Athanasios V. Vasilakos, Lin Wang IEEE Transactions on Artificial Intelligence (TAI), 2024 Paper
	OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution Zidong Cao, Hao Ai, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Lin Wang International Conference on Computer Vision (ICCV), 2023 Paper / Code
	Surround-view Free Space Boundary Detection with Polar Representation Zidong Cao, Ang Li, Zhiliang Xiong, Zejian Yuan British Machine Vision Conference (BMVC), 2021 Paper
	Self-Supervised Depth Completion via Adaptive Sampling and Relative Consistency Zidong Cao, Ang Li, Zejian Yuan IEEE International Conference on Image Processing (ICIP), 2021 Paper / Code

Other Publications

	A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision Hao Ai, Zidong Cao, Lin Wang International Journal of Computer Vision (IJCV), 2025 Paper
	Depth Any Event Stream: Enhancing Event-based Monocular Depth Estimation via Dense-to-Sparse Distillation Jinjing Zhu, Tianbo Pan, Zidong Cao, Yexin Liu, James T. Kwok, Hui Xiong International Conference on Computer Vision (ICCV), 2025 Paper
	Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360° Image Outpainting Hao Ai, Zidong Cao, Haonan Lu, Chen Chen, Jian Ma, Pengyuan Zhou, Tae-Kyun Kim, Pan Hui, Lin Wang IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024 Paper
	Srfnet: Monocular Depth Estimation with Fine-grained Structure via Spatial Reliability-oriented Fusion of Frames and Events Tianbo Pan, Zidong Cao, Lin Wang IEEE International Conference on Robotics and Automation (ICRA), 2024 Paper
	Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation Xu Zheng, Jinjing Zhu, Yexin Liu, Zidong Cao, Chong Fu, Lin Wang Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Paper
	HRDFuse: Monocular 360deg Depth Estimation by Collaboratively Learning Holistic-With-Regional Depth Distributions Hao Ai, Zidong Cao, Yan-Pei Cao, Ying Shan, Lin Wang Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Paper

Academic Services

Conference reviewer: CVPR 2024, ICRA 2024, CVPR 2025, CVPR 2026.

Journal reviewer: TIP, TMM, RAL.

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