Reliable Vision AI for the Real World

Xi Shen

Co-founder & Chief Scientist · Intellindust · Shenzhen, China

Real-time Vision Edge Vision Safety AI

At Intellindust AI Lab, our team builds reliable and efficient computer vision systems for real-time applications on edge devices with limited NPU compute.

I completed my Ph.D. in the IMAGINE team at Ecole des Ponts ParisTech, and I lived in lovely Paris, France for 10 years. Previously, I worked as a Senior Researcher at Tencent AI Lab.

If you are interested in internships focused on AI safety and efficient training for real-time vision, feel free to reach out.

(Last update: 2026-07-10)

Now Building

Robust and efficient open-world vision models for real-time edge deployment, currently focused on next-generation edge cv models.

GitHub

Google Scholar

Intellindust AI Lab

News

18 / 06 / 2026 SKEL-CF: Coarse-to-Fine Biomechanical Skeleton and Surface Mesh Recovery is accepted by ECCV 2026.
19 / 03 / 2026 EdgeCrafter: Compact ViTs for Edge Dense Prediction via Task-Specialized Distillation is now available on arXiv.
07 / 03 / 2026 Two papers (HED and MoVie) are accepted by CVPR 2026. HED and SURE+ are now available on arXiv.
04 / 02 / 2026 FSOD-VFM is accepted by ICLR 2026.
26 / 11 / 2025 SKEL-CF is now available on arXiv.
20 / 11 / 2025 SimROD: A Simple Baseline for Raw Object Detection with Global and Local Enhancements is accepted by AAAI 2026.
20 / 09 / 2025 Explicit visual prompting for universal foreground segmentations is accepted by TPAMI.

20 / 09 / 2025 "[DEIMv2] Real-Time Object Detection Meets DINOv3" is now available on arXiv.
01 / 07 / 2025 We took 2nd place in the NTIRE Joint Denoising and Demosaicing Challenge, 2nd place in the SoccerNet Ball Action Spotting Challenge, and received an honorable mention in the CVPR 2025 Foundation Few-shot Object Detection Challenge.
27 / 02 / 2025 "DEIM: DETR with Improved Matching for Fast Convergence" is accepted by CVPR 2025.
03 / 10 / 2024 "Designing nanotheranostics with machine learning" is accepted by Nature Nanotechnology 2024.
01 / 10 / 2024 Building on our CVPR work SURE, we won 1st place in the Open-set Recognition challenge at the Out Of Distribution Generalization in Computer Vision Workshop, ECCV 2024.
01 / 09 / 2024 We release COCO-FP, a dataset designed to evaluate false positive detections for COCO object detectors.
01 / 06 / 2024 We achieved 1st place in Low-light Object Detection and 3rd place in Instance Segmentation at the 4th Physics-Based Vision meets Deep Learning Workshop, CVPR 2024.
27 / 02 / 2024 2/2 papers are accepted by CVPR 2024, thanks to all my co-authors!
01 / 08 / 2023 "TokenCut" is accepted by TPAMI.
01 / 03 / 2023 3/3 papers are accepted by CVPR 2023, thanks to all my co-authors!
22 / 11 / 2022 Our paper SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation is available on arXiv.
02 / 03 / 2022 "TokenCut" is accepted to CVPR 2022. Check Gradio Demo here.
15 / 07 / 2020 Our paper " RANSAC-Flow: generic two-stage image alignment" is accepted to ECCV 2020.

Awards & Honors

🥇 1st Place — Open-set Recognition Challenge,
Out-of-Distribution Generalization in Computer Vision Workshop, ECCV 2024
(Based on our CVPR work SURE.)
🥇 1st Place — Low-light Object Detection,
4th Physics-Based Vision Meets Deep Learning Workshop, CVPR 2024
🥉 3rd Place — Low-light Instance Segmentation,
4th Physics-Based Vision Meets Deep Learning Workshop, CVPR 2024
🥈 2nd Place — Joint Denoising and Demosaicing,
NTIRE Workshop, CVPR 2025
🥈 2nd Place — SoccerNet Ball Action Spotting,
SoccerNet Challenges, CVPR 2025
🎖️ Honorable Mention — Foundation Few-shot Object Detection,
Visual Perception via Learning in an Open World, CVPR 2025
🌟 Outstanding Reviewer, ICML 2022

Research

* Equal contribution · + Corresponding author · Featured work is highlighted.

	SKEL-CF: Coarse-to-Fine Biomechanical Skeleton and Surface Mesh Recovery Da Li^, Jiping Jin^, Xuanlong Yu, Wei Liu, Xiaodong Cun, Kai Chen, Rui Fan, Jiangang Kong, Xi Shen⁺, ECCV, 2026 [Project page] [PDF] [Code (GitHub)] Star65
	[SURE+] From Misclassifications to Outliers: Joint Reliability Assessment for Classification Yang Li, Youyang Sha, Yinzhi Wang, Timothy Hospedales, Xi Shen, Shell Xu Hu⁺, Xuanlong Yu⁺ arXiv, 2026 [Project page] [PDF] [Code (GitHub)] Star9
	A Closer Look at Cross-Domain Few-Shot Object Detection: Fine-Tuning Matters and Parallel Decoder Helps Xuanlong Yu, Youyang Sha, Longfei Liu, Xi Shen⁺, Di Yang⁺ CVPR, 2026 [Project page] [PDF] [Code (GitHub)] Star42
	MoVie: Broaden Your Views with Human Motion for Action Detection Di Yang, Mahmoud Ali, Xuanlong Yu, Xi Shen, Quan Kong, Gianpiero Francesca, Francois Bremond⁺ CVPR, 2026 [Project page] [PDF] [Code]
	EdgeCrafter: Compact ViTs for Edge Dense Prediction via Task-Specialized Distillation Longfei Liu, Yongjie Hou, Yang Li, Qirui Wang, Youyang Sha, Yongjun Yu, Yinzhi Wang, Peizhe Ru, Xuanlong Yu⁺, Xi Shen⁺ arXiv, 2026 [Project page] [PDF] [Code (GitHub)] Star274
	FSOD-VFM: Few-Shot Object Detection with Vision Foundation Models and Graph Diffusion Chen-Bin Feng^, Youyang Sha^, Longfei Liu, Yongjun Yu, Chi Man Vong⁺, Xuanlong Yu⁺, Xi Shen⁺, ICLR, 2026 [Project page] [PDF] [Code (GitHub)] Star91
	SimROD: A Simple Baseline for Raw Object Detection with Global and Local Enhancements Haiyang Xie, Xi Shen, Shihua Huang, Qirui Wang, Zheng Wang AAAI, 2026 [Project page] [PDF] [Code (GitHub)] Star30
	Explicit Visual Prompting for Universal Foreground Segmentations Weihuang Liu, Xi Shen, Chi-Man Pun⁺, Xiaodong Cun⁺ TPAMI, 2025 [Project page] [PDF] [Code (GitHub)] Star230
	Real-Time Object Detection Meets DINOv3 Shihua Huang^, Yongjie Hou^, Longfei Liu^, Xuanlong Yu, Xi Shen⁺, arXiv*, 2025 [Project page] [PDF] [Code (GitHub)] Star1910
	DEIM: DETR with Improved Matching for Fast Convergence Shihua Huang, Zhihao Lu, Xiaodong Cun, Yongjun Yu, Xiao Zhou, Xi Shen⁺, CVPR, 2025 [Project page] [PDF] [Slides] [Code (GitHub)] Star1573
	Designing Nanotheranostics with Machine Learning Lang Rao, Yuan Yuan, Xi Shen, Guocan, Yu, Xiaoyuan Chen, Nature Nanotechnology, 2024 [PDF]
	HTR-VT: Handwritten Text Recognition with Vision Transformer Yuting Li, Dexiong Chen⁺, Tinglong Tang, Xi Shen⁺, Pattern Recognition, 2024 [Project page] [PDF] [Code (GitHub)] Star134
	Depth-aware Test-Time Training for Zero-shot Video Object Segmentation Weihuang Liu, Xi Shen, Haolun Li, Xiuli Bi, Bo Liu, Chi-Man Pun⁺, Xiaodong Cun⁺ CVPR, 2024 [Project page] [PDF] [Code (GitHub)] Star29
	SURE: SUrvey REcipes for building reliable and robust deep networks Yuting Li, Yingyi Chen, Xuanlong Yu, Dexiong Chen⁺, Xi Shen⁺, CVPR, 2024 SURE-OOD is the Winner of SSB-OSR challenge, ECCV 2024 [Project page] [PDF] [Code (GitHub)] Star76 [Tech. Report SURE-OOD] [Code SURE-OOD (GitHub)] Star29
	TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut Yangtao Wang, Xi Shen⁺, Yuan Yuan, Yuming Du, Maomao Li, Xu Hu, James Crowley, Dominique Vaufreydaz IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 [Project page] [PDF] [Code (GitHub)] Star64
	LivelySpeaker: Towards Semantic-aware Co-speech Gesture Generation Yihao Zhi^, Xiaodong Cun^, Xuelin Chen, Xi Shen, Wen Guo, Shaoli Huang, Shenghua Gao ICCV, 2023 [Project page] [PDF] [Code (GitHub)] Star87
	Explicit Visual Prompting for Low-Level Structure Segmentations Weihuang Liu, Xi Shen, Chi-Man Pun⁺, Xiaodong Cun⁺ CVPR, 2023 [Project page] [PDF] [Code (GitHub)] Star230
	T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations Jianrong Zhang^, Yangsong Zhang^, Xiaodong Cun, Shaoli Huang, Yong Zhang, Hongwei Zhao, Hongtao Lu, Xi Shen⁺ CVPR, 2023 [Project page] [PDF] [Code (GitHub)] [Online demo (Colab)] Star768
	SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation Wenxuan Zhang^, Xiaodong Cun^, Xuan Wang, Yong Zhang, Xi Shen, Guo Yu, Ying Shan, Fei Wang CVPR, 2023 Top 10 you won't miss papers of CVPR 2023 (Voxel51). [Project page] [PDF] [Code (GitHub)] Star13944
	Back to MLP: A Simple Baseline for Human Motion Prediction (siMLPe) Wen Guo^, Yuming Du^, Xi Shen⁺, Vincent Lepetit, Xavier Alameda-Pineda, Francesc Moreno-Noguer WACV, 2023 [Project page] [PDF] [siMLPe Code (GitHub)] Star162
	Compressing Features for Learning with Noisy Labels Yingyi Chen, Xu Hu, Xi Shen⁺, Chunrong Ai, Johan A.K. Suykens TNNLS, 2022 [Project page] [PDF] [Code (GitHub)] [Workshop Video (7 mins)] Star51
	Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut Yangtao Wang, Xi Shen⁺, Xu Hu, Yuan Yuan, James Crowley, Dominique Vaufreydaz CVPR, 2022 [Project page] [PDF] [Code (GitHub)] [Colab] [Gradio Demo] [Code (GitLab)] Star338
	Spatially-consistent Feature Matching and Learning for Heritage Image Analysis Xi Shen, Robin Champenois, Shiry Ginosar, Ilaria Pastrolin, Morgane Rousselot, Oumayma Bounou, Tom Monnier, Spyros Gidaris, François Bougard, Pierre-Guillaume Raverdy, Marie-Françoise Limon, Christine Bénévent, Marc Smith, Olivier Poncet, K. Bender, Béatrice Joyeux-Prunel, Elizabeth Honig, Alexei A. Efros, Mathieu Aubry IJCV, 2022 [Project page] [PDF (Springer)] [PDF (HAL)]
	Learning Co-segmentation by Segment Swapping for Retrieval and Discovery Xi Shen, Alexei A. Efros, Armand Joulin, Mathieu Aubry CVPR Image Matching workshop and Transformer workshop, 2022 Segswap serves as the foundational baseline for Ego-Exo4D-Relation. [Project page] [PDF] [Code] [Youtube Video] [Slides] Star53
	Re-ranking for image retrieval and transductive few-shot classification Xi Shen, Yang Xiao, Shell Xu Hu, Othman Sbai, Mathieu Aubry NeurIPS, 2021 [Project page] [PDF] [Code] [Video] Star31
	Image Collation: Matching illustrations in manuscripts Ryad Kaoua, Xi Shen, Stavros Lazaris, David Picard, Mathieu Aubry ICDAR, 2021 [Project page] [PDF] [Code] [Dataset] [Video] [Slides] [Poster] Star14
	RANSAC-Flow: generic two-stage image alignment Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry ECCV, 2020 [Project page] [PDF] [Code] [Demo] [Video] [Slides] Star451
	Empirical Bayes Transductive Meta-Learning with Synthetic Gradients Shell Xu Hu, Pablo Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence Andreas Damianou ICLR, 2020 [PDF] [Code] Star58
	Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach Xi Shen, Ilaria Pastrolin, Oumayma Bounou, Spyros Gidaris, Marc Smith, Olivier Poncet, Mathieu Aubry ICPR, 2020 [Project page] [PDF] [Code] [Dataset] [Video] [Slides] [Web App] [Paper on Web App] Star59
	Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning Xi Shen, Alexei A. Efros, Mathieu Aubry CVPR, 2019 Covered by Nature. [Project page] [PDF] [Code] [Dataset] [Slides] Star115
	Marginalized Average Attentional Network For Weakly-Supervised Learning Yuan Yuan, Yueming Lyu, Xi Shen, Ivor Tsang, Dit-Yan Yeung ICLR, 2019 [PDF] [Code] Star34