Xi Shen

Email: shenxiluc at gmail dot com

Bio: I hold the position of Chief Scientist at Intellindust. My team aims at building reliable and robust computer vision algorimths on edge devices with limited NPU power.

I completed my Ph.D. within the IMAGINE team, École des Ponts ParisTech under the supervision of Prof. Mathieu Aubry. I also collaborate closely with Prof. Alexei A. Efros from UC Berkeley. Previously, I was a Senior Researcher at Tencent AI Lab, Shenzhen, China.

I completed the Master Vision et Apprentissage program at ENS Paris-Saclay and the Engineering Program at Ecole des Ponts ParisTech. Prior to that, I received dual B.S. degrees in Mechanics from Université Claude Bernard Lyon and Physics from Wuhan University.

If the internship opportunity focusing on safety AI and efficient training catches your attention, don't hesitate to reach out via email. Relevant areas of interest may include self-supervised representation learning, low-shot learning, coreset selection, uncertainty estimation, and real-time low-light video enhancement.

GitHub CV Google Scholar

• 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 / 09 / 2024  "HTR-VT" is accepted by Pattern Recognition 2024.
• 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 / 07 / 2023  "LivelySpeaker" is accepted by ICCV 2023.
• 01 / 03 / 2023  3/3 papers are accepted by CVPR 2023, thanks to all my co-authors!
• 15 / 01 / 2023  Our paper T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations is available on arXiv.
• 22 / 11 / 2022  Our paper SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation is available on arXiv.
• 30 / 08 / 2022  Our paper Back to MLP: A Simple Baseline for Human Motion Prediction (siMLPe) is accepted to WACV 2023.
• 14 / 07 / 2022  I am honoured to be acknowledged as Outstanding Reviewer for ICML 2022.
• 27 / 06 / 2022  Our paper Compressing Features for Learning with Noisy Labels is accepted to TNNLS 2022.
• 19 / 06 / 2022  CVPR 2022 workshop presentations: "TokenCut" in "L3D"; "SegSwap" in "Image Matching" and "Transformer".
• 02 / 03 / 2022  "TokenCut" is accepted to CVPR 2022. Check Gradio Demo here.
• 25 / 02 / 2022  Our paper "Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut" (TokenCut) is published on arXiv.
• 13 / 01 / 2022  Our paper "Spatially-consistent Feature Matching and Learning for Heritage Image Analysis" is accepted to IJCV.
• 28 / 12 / 2021  I join Tencent AI Lab as a Senior Researcher, I will work with Dr. Jue Wang on Computer Vision.
• 03 / 12 / 2021  I am defending my Ph.D. today! [Slides] [Thesis]
• 29 / 10 / 2021  Our paper "Learning Co-segmentation by Segment Swapping for Retrieval and Discovery" is published on arXiv.
• 29 / 09 / 2021  Our paper "Re-ranking for image retrieval and transductive few-shot classification" is accepted to Neurips 2021.
• 18 / 04 / 2021  Our paper " Image Collation: Matching illustrations in manuscripts" is accepted to ICDAR 2021.
• 15 / 07 / 2020  Our paper " RANSAC-Flow: generic two-stage image alignment" is accepted to ECCV 2020. Watch the demo.
• 07 / 03 / 2020  The web application of historical watermark recognition is online!! Check the paper and the web application .
• 12 / 12 / 2019  Our paper " Empirical Bayes Transductive Meta-Learning with Synthetic Gradients" accepted to ICLR 2020.
• 06 / 08 / 2019  Our paper " Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach" is published on arXiv.
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^* indicates equal contribution.
⁺ indicates corresponding author.
Representative papers are highlighted.

Academic Services

        ICML 2022 (Outstanding Reviewer), CVPR 2022 - 2024, ECCV 2022, NeurIPS 2021 - 2022, ICLR 2020 - 2023, BMVC 2019 - 2022, WACV 2023.

Teacher Assistant

• 03 / 2021 - 04 / 2021   Université PSL (Paris Sciences & Lettres)  Digital Humanities Meet Artificial Intelligence (M1).
• 02 / 2021 - 06 / 2021   Ecole des Ponts ParisTech   Computer Vision for Mechanics of materials (L3).
• 02 / 2019 - 06 / 2019   Ecole des Ponts ParisTech   Traitement de l'information et vision artificielle (M1).

Sports

        I am an amateur football player, a video of highlights can be found here. I also like jogging, hiking, camping and ski.

Coding

        All of my released code is maintained on my GitHub account .