Ziteng Cui (崔子藤)
I'm a Ph.D. student at The University of Tokyo, where I am supervised by Prof. Tatsuya Harada. Before that, I received my master's degree from Shanghai Jiao Tong University.
I mainly work on Vision Robustness & Computational Photography & 3D Computer Vision. My favorite things are DOTA2, hiking, JOJO (Jolyne Cujoh) and Pink Floyd.
I am graduating in April 2025 and am seeking opportunities in both academia and industry. Please feel free to connect with me via email.
Email  / 
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Github  / 
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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》
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.
Full publication list please refer to here. Some papers are highlighted.
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Discovering an Image-Adaptive Coordinate System for Photography Processing
Ziteng Cui, Lin Gu, Tatsuya Harada.
BMVC, 2024  
arxiv /
bibtex /
poster
Instead of just using image-adaptive curves or 3D LUTs, why not design an image-adaptive coordinate system tailored to different photography processing tasks?
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RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images
Ziteng Cui, Tatsuya Harada.
ECCV, 2024   [github]
website /
arxiv /
bibtex /
poster
We analyze the relationship between camera RAW data and sRGB images pre-trained models, and propose RAW-Adapter for effective RAW data based vision tasks.
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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
Blight NeRF's volume rendering function with concealing fields, to handle novel view synthesis under low-light conditions and over-exposure conditions.
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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
MonoDETR introduces a depth-guided transformer for monocular 3D object detection, enhancing Mono3D with non-local depth cues and achieving SOTA results.
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Improving Fairness in Image Classification via Sketching
Ruichen Yao*,
Ziteng Cui*,
Xiaoxiao Li,
Lin Gu.
NeurIPS Workshop TSRML, 2022  
arxiv /
bibtex /
poster
Image-to-sketching may be an effective solution against image classification's unfairness, including both general scene and medical scene.
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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]
website /
arxiv /
bibtex /
demo /
poster
A super light-weight (only 90k+ parameters) transformer-based network Illumination Adaptive Transformer, for real time image enhancement and exposure correction.
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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
Combination detection with self-supervised super-resolution, for robust detection under various degradation conditions (noise, blurry, low-resolution).
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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
Using Camera-ISP pipeline for low-light image synthetic, then using self-supervised learning to improving the performance of low-light condition object detection.
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Shanghai Jiao Tong University
1. National Scholarship
2. Excellent Graduate Student
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Reviewer: ICCV, CVPR, ECCV, ICLR, ICML, NIPS, AISTATS, BMVC, ACCV, Eurographics, Pacific Graphics
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