research
∙
11/18/2022
Improved Cross-view Completion Pre-training for Stereo Matching
Despite impressive performance for high-level downstream tasks, self-sup...
share
research
∙
10/21/2022
PoseScript: 3D Human Poses from Natural Language
Natural language is leveraged in many computer vision tasks such as imag...
research
∙
10/19/2022
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion
Masked Image Modeling (MIM) has recently been established as a potent pr...
research
∙
10/19/2022
PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting
We address the problem of action-conditioned generation of human motion ...
research
∙
01/31/2022
Learning Super-Features for Image Retrieval
Methods that combine local and global features have recently shown excel...
research
∙
12/22/2021
Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images
This paper tackles the problem of semi-supervised learning when the set ...
research
∙
01/04/2019
Coverage and Quality Driven Training of Generative Image Models
Generative modeling of natural images has been extensively studied in re...
research
∙
06/19/2018
Mixed batches and symmetric discriminators for GAN training
Generative adversarial networks (GANs) are pow- erful generative models ...
research
∙
11/30/2017
Auxiliary Guided Autoregressive Variational Autoencoders
Generative modeling of high-dimensional data is a key problem in machine...
research
∙
12/03/2016