Сю Джън

Гостуващ докторант

Имейл: [email protected]

За мен:

Аз съм гостуващ изследовател в Института за компютърни науки, изкуствен интелект и технологии (INSAIT), където работя върху мултимодално обучение и мултимодални големи модели под ръководството на проф. Люк Ван Гоол и проф. Данда Паудел.

Аз съм докторант в направление ИИ в Хонконгския университет за наука и технологии, кампус Гуанджоу. Радвам се да работя с проф. Сюминг Ху и проф. Реймънд Чи-Уинг Уонг.

Изучавам машинното възприятие, разсъждение и взаимодействие с физическия свят, черпейки вдъхновение от човешкото познание. Напоследък се фокусирам върху унифицирано мултимодално обучение и усъвършенствани техники за сензорно възприятие.

Образование:

Североизточен университет – Магистър по информационно и комуникационно инженерство, 2023

Североизточен университет – Бакалавър по комуникационно инженерство, 2019

Публикации:

Вижте моя профил в Google Scholar: https://scholar.google.com.hk/citations?user=Ii1c51QAAAAJ&hl=zh-CN

Личен уебсайт: https://zhengxujosh.github.io/

2026

Yuanfan Zheng, Kunyu Peng, Xu Zheng, Kailun Yang
Seeing Beyond: Extrapolative Domain Adaptive Panoramic Segmentation
In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)

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In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026)
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Zihao Dongfang, Xu Zheng, Ziqiao Weng, Yuanhuiyi Lyu, Danda Pani Paudel, Luc Van Gool, Kailun Yang, Xuming Hu
Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
In: The Findings track of IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR 2026 Findings)

Paper

Bin Ren, Yawei Li, Xu Zheng, Yuqian Fu, Danda Pani Paudel, Hong Liu, Ming-Hsuan Yang, Luc Van Gool, Nicu Sebe
Efficient Degradation-agnostic Image Restoration via Channel-Wise Functional Decomposition and Manifold Regularization
In: The Fourteenth International Conference on Learning Representations (ICLR 2026)

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Bin Ren, Runyi Yang, Qi Ma, Xu Zheng, Mengyuan Liu, Danda Pani Paudel, Luc Van Gool, Rita Cucchiara, Nicu Sebe
Rethinking Expressivity and Degradation-Awareness in Attention for All-in-One Blind Image Restoration
In: The Fourteenth International Conference on Learning Representations (ICLR 2026)

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Deheng Zhang, Yuqian Fu, Runyi Yang, Yang Miao, Tianwen Qian, Xu Zheng, Guolei Sun, Ajad Chhatkuli, Xuanjing Huang, Yu-Gang Jiang, Luc Van Gool, Danda Pani Paudel
EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark
In: The Fourteenth International Conference on Learning Representations (ICLR 2026)

Paper Website Code

2025

Chenfei Liao, Kaiyu Lei, Xu Zheng, Junha Moon, Zhixiong Wang, Yixuan Wang, Danda Pani Paudel, Luc Van Gool, Xuming Hu
Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness
In: Conference on Computer Vision and Pattern Recognition (CVPR 2025) (Workshop)

Paper

Xu Zheng, Yuanhuiyi Lyu, Lutao Jiang, Danda Pani Paudel, Luc Van Gool, Xuming Hu
Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization
In: International Conference on Computer Vision (ICCV 2025)

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Ding Zhong, Xu Zheng, Chenfei Liao, Yuanhuiyi Lyu, Jialei Chen, Shengyang Wu, Linfeng Zhang, Xuming Hu
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
In: International Conference on Computer Vision (ICCV 2025)

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Yihong Cao, Jiaming Zhang, Xu Zheng, Hao Shi, Kunyu Peng, Hang Liu, Kailun Yang, Hui Zhang
Unlocking Constraints: Source-Free Occlusion-Aware Seamless Segmentation
In: International Conference on Computer Vision (ICCV 2025)

Paper

Liming Lu, Shuchao Pang, Xu Zheng, Xiang GU, Anan Du, Yunhuai Liu, Yongbin Zhou
CIARD: Cyclic Iterative Adversarial Robustness Distillation
In: International Conference on Computer Vision (ICCV 2025)

Jialei Chen, Xu Zheng, Dongyue Li, Chong Yi, Seigo Ito, Danda Pani Paudel, Luc Van Gool, Hiroshi Murase, Daisuke Deguchi
Split Matching for Inductive Zero-shot Semantic Segmentation
In: The British Machine Vision Conference (BMVC 2025)

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Xin Zou, Di Lu, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Xu Zheng, Linfeng Zhang, Xuming Hu
Don’t Just Chase „Highlighted Tokens“ in MLLMs: Revisiting Visual Holistic Context Retention
In: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)

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Yu Li, Xingyu Qiu, Yuqian Fu, Jie Chen, Tianwen Qian, Xu Zheng, Danda Pani Paudel, Yanwei Fu, Xuanjing Huang, Luc Van Gool, Yu-Gang Jiang
Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection
In: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)

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