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05/24/2023
Task-aware Distributed Source Coding under Dynamic Bandwidth
Efficient compression of correlated data is essential to minimize commun...
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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 ...
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01/26/2022
Class-Aware Generative Adversarial Transformers for Medical Image Segmentation
Transformers have made remarkable progress towards modeling long-range d...
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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...
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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...
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07/19/2021
Hierarchical Few-Shot Imitation with Skill Transition Models
A desirable property of autonomous agents is the ability to both solve l...
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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...
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07/14/2020
Efficient Online Estimation of Empowerment for Reinforcement Learning
Training artificial agents to acquire desired skills through model-free ...
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12/04/2019