Recent advances in text-guided image synthesis has dramatically changed ...
We consider the problem of composed image retrieval that takes an input ...
Recent advances in multimodal learning has resulted in powerful
vision-l...
Recent works in self-supervised learning have shown impressive results o...
While recent developments in text-to-image generative models have led to...
We consider and propose a new problem of retrieving audio files relevant...
Federated Learning (FL) is a machine learning paradigm where local nodes...
Fully supervised human mesh recovery methods are data-hungry and have po...
The goal of click-based interactive image segmentation is to obtain prec...
We consider the problem of abnormality localization for clinical
applica...
We consider the problem of estimating frame-level full human body meshes...
Despite much recent progress in video-based person re-identification (re...
We consider the problem of obese human mesh recovery, i.e., fitting a
pa...
Despite substantial progress in applying neural networks (NN) to a wide
...
We consider the problem of visually explaining similarity models, i.e.,
...
We consider the problem of estimating a parametric model of 3D human mes...
Recent advances in Convolutional Neural Network (CNN) model interpretabi...
We consider the problem of human pose estimation. While much recent work...
We consider the problem of learning similarity functions. While there ha...
With vast amounts of video content being uploaded to the Internet every
...
We present a method to incrementally generate complete 2D or 3D scenes w...
We propose a new deep architecture for person re-identification (re-id)....
Recent developments in gradient-based attention modeling have led to imp...
We propose a novel method for 3D object pose estimation in RGB images, w...
Designing real-world person re-identification (re-id) systems requires
a...
Finding correspondences between images or 3D scans is at the heart of ma...
Compositionality of semantic concepts in image synthesis and analysis is...
Designing useful person re-identification systems for real-world applica...
Person re-identification (re-id) is a critical problem in video analytic...