research
∙
05/24/2023
Task-aware Distributed Source Coding under Dynamic Bandwidth
Efficient compression of correlated data is essential to minimize commun...
share
research
∙
02/28/2023
Learning Sparse Control Tasks from Pixels by Latent Nearest-Neighbor-Guided Explorations
Recent progress in deep reinforcement learning (RL) and computer vision ...
research
∙
01/26/2022
Class-Aware Generative Adversarial Transformers for Medical Image Segmentation
Transformers have made remarkable progress towards modeling long-range d...
research
∙
10/28/2021
MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution
Space-time video super-resolution (STVSR) aims to construct a high space...
research
∙
08/13/2021
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
Automated segmentation in medical image analysis is a challenging task t...
research
∙
07/19/2021
Hierarchical Few-Shot Imitation with Skill Transition Models
A desirable property of autonomous agents is the ability to both solve l...
research
∙
05/14/2021
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation
Automated segmentation in medical image analysis is a challenging task t...
research
∙
07/14/2020
Efficient Online Estimation of Empowerment for Reinforcement Learning
Training artificial agents to acquire desired skills through model-free ...
research
∙
12/04/2019
