research
∙
06/16/2023
Meta-Personalizing Vision-Language Models to Find Named Instances in Video
Large-scale vision-language models (VLM) have shown impressive results f...
share
research
∙
04/10/2023
EKILA: Synthetic Media Provenance and Attribution for Generative Art
We present EKILA; a decentralized framework that enables creatives to re...
research
∙
03/23/2023
VADER: Video Alignment Differencing and Retrieval
We propose VADER, a spatio-temporal matching, alignment, and change summ...
research
∙
02/15/2023
Audio-Visual Contrastive Learning with Temporal Self-Supervision
We propose a self-supervised learning approach for videos that learns re...
research
∙
11/30/2022
Spatio-Temporal Crop Aggregation for Video Representation Learning
We propose Spatio-temporal Crop Aggregation for video representation LEa...
research
∙
06/28/2022
SImProv: Scalable Image Provenance Framework for Robust Content Attribution
We present SImProv - a scalable image provenance framework to match a qu...
research
∙
05/11/2022
Video-ReTime: Learning Temporally Varying Speediness for Time Remapping
We propose a method for generating a temporally remapped video that matc...
research
∙
04/10/2022
DILEMMA: Self-Supervised Shape and Texture Learning with Transformers
There is a growing belief that deep neural networks with a shape bias ma...
research
∙
12/14/2021
Learning to Deblur and Rotate Motion-Blurred Faces
We propose a solution to the novel task of rendering sharp videos from n...
research
∙
12/07/2021
Time-Equivariant Contrastive Video Representation Learning
We introduce a novel self-supervised contrastive learning method to lear...
research
∙
09/21/2021
VPN: Video Provenance Network for Robust Content Attribution
We present VPN - a content attribution method for recovering provenance ...
research
∙
10/13/2020
Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation
Current state-of-the-art methods cast monocular 3D human pose estimation...
research
∙
07/21/2020
Video Representation Learning by Recognizing Temporal Transformations
We introduce a novel self-supervised learning approach to learn represen...
research
∙
04/05/2020
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics
We introduce a novel principle for self-supervised feature learning base...
research
∙
09/27/2019
Learning to Have an Ear for Face Super-Resolution
We propose a novel method to perform extreme (16x) face super-resolution...
research
∙
06/11/2019
On Stabilizing Generative Adversarial Training with Noise
We present a novel method and analysis to train generative adversarial n...
research
∙
09/05/2018
Deep Bilevel Learning
We present a novel regularization approach to train neural networks that...
research
∙
06/13/2018
