65 citations · 85 across the 8 of their papers we have counts for
8 papers
Back to MLP: A Simple Baseline for Human Motion Prediction
Wen Guo, Yuming Du, Xi Shen +3
This paper tackles the problem of human motion prediction, consisting in forecasting future body poses from historically observed sequences. State-of-the-art approaches provide goo…
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut
Yangtao Wang, Xi Shen, Shell Hu +3
Transformers trained with self-supervised learning using self-distillation loss (DINO) have been shown to produce attention maps that highlight salient foreground objects. In this…
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
Xi Shen, Alexei A. Efros, Armand Joulin +1
The goal of this work is to efficiently identify visually similar patterns in images, e.g. identifying an artwork detail copied between an engraving and an oil painting, or recogni…
Image Collation: Matching illustrations in manuscripts
Ryad Kaoua, Xi Shen, Alexandra Durr +3
Illustrations are an essential transmission instrument. For an historian, the first step in studying their evolution in a corpus of similar manuscripts is to identify which ones co…
RANSAC-Flow: generic two-stage image alignment
Xi Shen, François Darmon, Alexei A. Efros +1
This paper considers the generic problem of dense alignment between two images, whether they be two frames of a video, two widely different views of a scene, two paintings depictin…
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
Xi Shen, Ilaria Pastrolin, Oumayma Bounou +4
Historical watermark recognition is a highly practical, yet unsolved challenge for archivists and historians. With a large number of well-defined classes, cluttered and noisy sampl…