Ziteng Cui

Ziteng Cui (崔子藤)

I am a Project Assistant Professor (特任助教) at the University of Tokyo, affiliated with the MIL Lab at RCAST. I received my Ph.D. from same lab in the University of Tokyo, M.S. from Shanghai Jiao Tong University, and B.S. from Harbin Institute of Technology.

I mainly work on Physics-based Vision & Computational Photography & 3D Computer Vision. My favorite things are DOTA2, hiking, anime (JOJO, One Piece, HunterxHunter ...) and Britpop.

My research goal is to integrate physical intrinsic knowledge into real-world downstream applications (e.g., perception, 3D vision, robotics). I'm always open to academic collaborations, feel free to reach out.

Email / Google Scholar / Github / Twitter / LinkedIn

Research Statement (Update: 2025/10/01)

昔者庄周梦为胡蝶，栩栩然胡蝶也，自喻适志与，不知周也。俄然觉，则蘧蘧然周也。不知周之梦为胡蝶与？胡蝶之梦为周与？周与胡蝶，则必有分矣，此之谓物化。 -- 庄子《齐物论》

News

● 2025.09 Two papers Dr. RAW and I2-NeRF have been accepted by NeurIPS 2025, congrats to the team ☀️☀️
● 2025.09 I'll give an invited talk at BMVC 2025 smart camera workshop 🎙️🎙️
● 2025.08 One paper AR-Talk has been accepted by Siggraph Asia 2025, congrats to the team ☀️☀️
● 2025.06 I successfully defended my Ph.D. dissertation, Dr. Cui now 💐💐
● 2025.04 I have been selected to the Doctoral Consortium at CVPR 2025 ☀️☀️
● 2025.02 One first author paper Luminance-GS has been accepted by CVPR 2025 ☀️☀️
● 2024.07 One first author paper RAW-Adapter has been accepted by ECCV 2024 ☀️☀️
● 2023.12 One first author paper Aleth-NeRF has been accepted by AAAI 2024 ☀️☀️
● ... ...

Selected Publications

I'm now interested in the physics modeling of low-level vision and 3D computer vision, I especially interested in the neural radiance field. "*" means authors contribute equally. "#" means corresponding author. Full publication list please refer to here.

	Dr. RAW: Towards General High-Level Vision from RAW with Efficient Task Conditioning Wenjun Huang, Ziteng Cui*, Yinqiang Zheng, Yirui He, Tatsuya Harada, Mohsen Imani. NeurIPS*, 2025
	I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions Shuhong Liu, Lin Gu, Ziteng Cui, Xuangeng Chu, Tatsuya Harada. NeurIPS, 2025
	Luminance-GS: Adapting 3D Gaussian Splatting to Challenging Lighting Conditions with View-Adaptive Curve Adjustment Ziteng Cui#, Xuangeng Chu, Tatsuya Harada. CVPR, 2025 [github] website / arxiv / bibtex / poster
	ARTalk: Speech-Driven 3D Head Animation via Autoregressive Model Xuangeng Chu, Nabarun Goswami, Ziteng Cui, Hanqin Wang, Tatsuya Harada. SIGGRAPH ASIA, 2025 [github] website / arxiv / bibtex
	Discovering an Image-Adaptive Coordinate System for Photography Processing Ziteng Cui#, Lin Gu, Tatsuya Harada. BMVC, 2024 arxiv / bibtex
	RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images Ziteng Cui#, Tatsuya Harada. ECCV, 2024 [github] website / arxiv / bibtex / poster
	Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption Ziteng Cui, Lin Gu, Xiao Sun, Xianzheng Ma, Yu Qiao, Tatsuya Harada. AAAI, 2024 [github] website / arxiv / arxiv (old version) / bibtex / poster
	Monodetr: Depth-guided transformer for monocular 3d object detection Renrui Zhang, Han Qiu, Tai Wang, Ziyu Guo, Ziteng Cui, Yu Qiao, Hongsheng Li, Peng Gao ICCV, 2023 [github] arxiv / bibtex / code / poster
	You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction Ziteng Cui, Kunchang Li, Lin Gu, Shenghan Su, Peng Gao, Zhengkai Jiang, Yu Qiao, Tatsuya Harada. BMVC, 2022 [github] (✨ Most Cited in BMVC 2022) arxiv / bibtex / demo / poster
	Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada. ECCV, 2022 [github] arxiv / bibtex / poster
	Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection Ziteng Cui, Guo-Jun Qi, Lin Gu, Shaodi You, Zenghui Zhang, Tatsuya Harada. ICCV, 2021 [github] arxiv / bibtex / poster