248 citations · 1.1k across the 64 of their papers we have counts for
71 papers
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
Tianzhe Chu, Shengbang Tong, Tianjiao Ding +4
The advent of large pre-trained models has brought about a paradigm shift in both visual representation learning and natural language processing. However, clustering unlabeled imag…
Efficient Vision Transformer for Human Pose Estimation via Patch Selection
Kaleab A. Kinfu, Rene Vidal
While Convolutional Neural Networks (CNNs) have been widely successful in 2D human pose estimation, Vision Transformers (ViTs) have emerged as a promising alternative to CNNs, boos…
Analysis and Extensions of Adversarial Training for Video Classification
Kaleab A. Kinfu, René Vidal
Adversarial training (AT) is a simple yet effective defense against adversarial attacks to image classification systems, which is based on augmenting the training set with attacks…
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation
Aditya Chattopadhyay, Xi Zhang, David Paul Wipf +2
We present a structured graph variational autoencoder for generating the layout of indoor 3D scenes. Given the room type (e.g., living room or library) and the room layout (e.g., r…
ARCS: Accurate Rotation and Correspondence Search
Liangzu Peng, Manolis C. Tsakiris, René Vidal
This paper is about the old Wahba problem in its more general form, which we call "simultaneous rotation and correspondence search". In this generalization we need to find a rotati…
Reverse Engineering attacks: A block-sparse optimization approach with recovery guarantees
Darshan Thaker, Paris Giampouras, René Vidal
Deep neural network-based classifiers have been shown to be vulnerable to imperceptible perturbations to their input, such as -bounded norm adversarial attacks. This has mo…