Large-scale vision-language models (VLM) have shown impressive results f...
We present EKILA; a decentralized framework that enables creatives to re...
We propose VADER, a spatio-temporal matching, alignment, and change
summ...
We propose a self-supervised learning approach for videos that learns
re...
We propose Spatio-temporal Crop Aggregation for video representation LEa...
We present SImProv - a scalable image provenance framework to match a qu...
We propose a method for generating a temporally remapped video that matc...
There is a growing belief that deep neural networks with a shape bias ma...
We propose a solution to the novel task of rendering sharp videos from n...
We introduce a novel self-supervised contrastive learning method to lear...
We present VPN - a content attribution method for recovering provenance
...
Current state-of-the-art methods cast monocular 3D human pose estimation...
We introduce a novel self-supervised learning approach to learn
represen...
We introduce a novel principle for self-supervised feature learning base...
We propose a novel method to perform extreme (16x) face super-resolution...
We present a novel method and analysis to train generative adversarial
n...
We present a novel regularization approach to train neural networks that...
We introduce a novel self-supervised learning method based on adversaria...