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08/04/2023
DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field
Estimating 6D poses and reconstructing 3D shapes of objects in open-worl...
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07/10/2023
Vocal Tract Area Estimation by Gradient Descent
Articulatory features can provide interpretable and flexible controls fo...
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06/06/2023
RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion
The raw depth image captured by indoor depth sensors usually has an exte...
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03/23/2023
CMG-Net: An End-to-End Contact-Based Multi-Finger Dexterous Grasping Network
In this paper, we propose a novel representation for grasping using cont...
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03/23/2023
CP^3: Channel Pruning Plug-in for Point-based Networks
Channel pruning can effectively reduce both computational cost and memor...
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11/21/2022
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation
With the growth of high-dimensional sparse data in web-scale recommender...
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07/24/2022
Label-Guided Auxiliary Training Improves 3D Object Detector
Detecting 3D objects from point clouds is a practical yet challenging ta...
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03/21/2022
RGB-Depth Fusion GAN for Indoor Depth Completion
The raw depth image captured by the indoor depth sensor usually has an e...
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02/17/2022
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving
Vision-based autonomous urban driving in dense traffic is quite challeng...
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10/15/2020
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
While Deep Reinforcement Learning (DRL) has emerged as a promising appro...
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07/06/2019
AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Structured weight pruning is a representative model compression techniqu...
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07/06/2019
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
Structured weight pruning is a representative model compression techniqu...
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06/08/2018
Adversarial Meta-Learning
Meta-learning enables a model to learn from very limited data to underta...
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03/02/2018
Model-Free Control for Distributed Stream Data Processing using Deep Reinforcement Learning
In this paper, we focus on general-purpose Distributed Stream Data Proce...
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01/28/2018
Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data
This paper presents the first deep reinforcement learning (DRL) framewor...
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01/17/2018