The burgeoning computer-art symbiosis. - Shiry Ginosar; Xi Shen 001; Karan Dwivedi; Elizabeth Honig; Mathieu Aubry (XRDS, 2018)

Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning. - Xi Shen 001; Alexei A. Efros; Mathieu Aubry (CVPR, 2019)

Marginalized Average Attentional Network for Weakly-Supervised Learning. - Yuan Yuan 002; Yueming Lyu; Xi Shen 001; Ivor W. Tsang; Dit-Yan Yeung (ICLR (Poster), 2019)

RANSAC-Flow: Generic Two-Stage Image Alignment. - Xi Shen 001; François Darmon; Alexei A. Efros; Mathieu Aubry (ECCV (4), 2020)

Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. - Shell Xu Hu; Pablo Garcia Moreno; Yang Xiao 009; Xi Shen 001; Guillaume Obozinski; Neil D. Lawrence; Andreas C. Damianou (ICLR, 2020)

Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach. - Xi Shen 001; Ilaria Pastrolin; Oumayma Bounou; Spyros Gidaris; Marc H. Smith; Olivier Poncet; Mathieu Aubry (ICPR, 2020)

A Web Application for Watermark Recognition. - Oumayma Bounou; Tom Monnier; Ilaria Pastrolin; Xi Shen 001; Christine Benevent; Marie-Françoise Limon-Bonnet; François Bougard; Mathieu Aubry; Marc H. Smith; Olivier Poncet; Pierre-Guillaume Raverdy (J. Data Min. Digit. Humanit., 2020)

Boosting Co-Teaching With Compression Regularization for Label Noise. - Yingyi Chen; Xi Shen 001; Shell Xu Hu; Johan A. K. Suykens (CVPR Workshops, 2021)

Image Collation: Matching Illustrations in Manuscripts. - Ryad Kaoua; Xi Shen 001; Alexandra Durr; Stavros Lazaris; David Picard; Mathieu Aubry (ICDAR (4), 2021)

Re-ranking for image retrieval and transductive few-shot classification. - Xi Shen 001; Yang Xiao 009; Shell Xu Hu; Othman Sbai; Mathieu Aubry (NeurIPS, 2021)

Learning Co-segmentation by Segment Swapping for Retrieval and Discovery. - Xi Shen 001; Alexei A. Efros; Armand Joulin; Mathieu Aubry (CVPR Workshops, 2022)

Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut. - Yangtao Wang; Xi Shen 001; Shell Xu Hu; Yuan Yuan 002; James L. Crowley; Dominique Vaufreydaz (CVPR, 2022)

Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis. - Xi Shen 001; Robin Champenois; Shiry Ginosar; Ilaria Pastrolin; Morgane Rousselot; Oumayma Bounou; Tom Monnier; Spyros Gidaris; François Bougard; Pierre-Guillaume Raverdy; Marie-Françoise Limon-Bonnet; Christine Benevent; et al. (Int. J. Comput. Vis., 2022)

Back to MLP: A Simple Baseline for Human Motion Prediction. - Wen Guo; Yuming Du; Xi Shen 001; Vincent Lepetit; Xavier Alameda-Pineda; Francesc Moreno-Noguer (WACV, 2023)

Jigsaw-ViT: Learning jigsaw puzzles in vision transformer. - Yingyi Chen; Xi Shen 001; Yahui Liu; Qinghua Tao; Johan A. K. Suykens (Pattern Recognit. Lett., 2023)

TokenCut: Segmenting Objects in Images and Videos With Self-Supervised Transformer and Normalized Cut. - Yangtao Wang; Xi Shen 001; Yuan Yuan 002; Yuming Du; Maomao Li; Shell Xu Hu; James L. Crowley; Dominique Vaufreydaz (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

SURE: SUrvey REcipes for Building Reliable and Robust Deep Networks. - Yuting Li; Yingyi Chen; Xuanlong Yu; Dexiong Chen; Xi Shen 001 (CVPR, 2024)

Compressing Features for Learning With Noisy Labels. - Yingyi Chen; Shell Xu Hu; Xi Shen 001; Chunrong Ai; Johan A. K. Suykens (IEEE Trans. Neural Networks Learn. Syst., 2024)

HTR-VT: Handwritten text recognition with vision transformer. - Yuting Li; Dexiong Chen; Tinglong Tang; Xi Shen 001 (Pattern Recognit., 2025)