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09/15/2023
The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction
Previous Multimodal Information based Speech Processing (MISP) challenge...
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08/27/2023
MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing
In recent years, Transformer networks are beginning to replace pure conv...
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08/06/2023
FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information
Recently, Fourier frequency information has attracted much attention in ...
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08/06/2023
Brighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancement
Low-Light Image Enhancement (LLIE) aims to improve the perceptual qualit...
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12/16/2022
AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains
As the basis for prehensile manipulation, it is vital to enable robots t...
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09/17/2022
A Diffuse-Domain Based Numerical Method for a Chemotaxis-Fluid Model
In this paper, we consider a coupled chemotaxis-fluid system that models...
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03/17/2022
Canvas: Isolated and Adaptive Swapping for Multi-Applications on Remote Memory
Remote memory techniques for datacenter applications have recently gaine...
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03/06/2022
A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion
Delicate industrial insertion tasks (e.g., PC board assembly) remain cha...
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01/19/2022
Swin-Pose: Swin Transformer Based Human Pose Estimation
Convolutional neural networks (CNNs) have been widely utilized in many c...
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10/14/2021
Simple Baseline for Single Human Motion Forecasting
Global human motion forecasting is important in many fields, which is th...
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08/04/2021
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion
Policy learning for delicate industrial insertion tasks (e.g., PC board ...
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07/18/2021
SpecBox: A Label-Based Transparent Speculation Scheme Against Transient Execution Attacks
Speculative execution techniques have been a cornerstone of modern proce...
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03/03/2021
RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images
General object grasping is an important yet unsolved problem in the fiel...
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04/28/2020
Transferable Active Grasping and Real Embodied Dataset
Grasping in cluttered scenes is challenging for robot vision systems, as...
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04/18/2020
Enumerating Chemical Graphs with Two Disjoint Cycles Satisfying Given Path Frequency Specifications
Enumerating chemical graphs satisfying given constraints is a fundamenta...
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04/14/2020
Enumerating Chemical Graphs with Mono-block 2-Augmented Tree Structure from Given Upper and Lower Bounds on Path Frequencies
We consider a problem of enumerating chemical graphs from given constrai...
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12/31/2019
GraspNet: A Large-Scale Clustered and Densely Annotated Dataset for Object Grasping
Object grasping is critical for many applications, which is also a chall...
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12/31/2019
GraspNet: A Large-Scale Clustered and Densely Annotated Datase for Object Grasping
Object grasping is critical for many applications, which is also a chall...
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11/25/2019
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem
Order dispatching and driver repositioning (also known as fleet manageme...
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10/07/2019
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching
Improving the efficiency of dispatching orders to vehicles is a research...
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08/02/2019
DELTA: A DEep learning based Language Technology plAtform
In this paper we present DELTA, a deep learning based language technolog...
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05/27/2019
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
How to optimally dispatch orders to vehicles and how to trade off betwee...
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01/31/2019