1.7k citations · 3.6k across the 34 of their papers we have counts for
6 papers · 1 filter
A Generalization of ViT/MLP-Mixer to Graphs
Xiaoxin He, Bryan Hooi, Thomas Laurent +3
Graph Neural Networks (GNNs) have shown great potential in the field of graph representation learning. Standard GNNs define a local message-passing mechanism which propagates infor…
Semantic Role Aware Correlation Transformer for Text to Video Retrieval
Burak Satar, Hongyuan Zhu, Xavier Bresson +1
With the emergence of social media, voluminous video clips are uploaded every day, and retrieving the most relevant visual content with a language query becomes critical. Most appr…
Multi-Graph Transformer for Free-Hand Sketch Recognition
Peng Xu, Chaitanya K. Joshi, Xavier Bresson
Learning meaningful representations of free-hand sketches remains a challenging task given the signal sparsity and the high-level abstraction of sketches. Existing techniques have…
Robust Principal Component Analysis on Graphs
Nauman Shahid, Vassilis Kalofolias, Xavier Bresson +2
Principal Component Analysis (PCA) is the most widely used tool for linear dimensionality reduction and clustering. Still it is highly sensitive to outliers and does not scale well…
Functional correspondence by matrix completion
Artiom Kovnatsky, Michael M. Bronstein, Xavier Bresson +1
In this paper, we consider the problem of finding dense intrinsic correspondence between manifolds using the recently introduced functional framework. We pose the functional corres…
Enhanced Compressed Sensing Recovery with Level Set Normals
Virginia Estellers, Jean-Philippe Thiran, Xavier Bresson
We propose a compressive sensing algorithm that exploits geometric properties of images to recover images of high quality from few measurements. The image reconstruction is done by…