Chenxi Wang | DeepAI

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Featured Co-authors

Jun Wang
360 publications
Yi Zhang
258 publications
Shinji Watanabe
239 publications
Zhe Wang
161 publications
Weinan Zhang
146 publications
Hongdong Li
121 publications
Cewu Lu
119 publications
Ming Zhou
107 publications
Yong Yu
102 publications
Jieping Ye
93 publications
Hui Zhang
85 publications

∙ 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...

0 Shilong Wu, et al. ∙

∙ 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...

0 Yuwei Qiu, et al. ∙

∙ 08/06/2023

FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information

Recently, Fourier frequency information has attracted much attention in ...

0 Chenxi Wang, et al. ∙

∙ 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...

0 Chenxi Wang, et al. ∙

∙ 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...

0 Hao-Shu Fang, et al. ∙

∙ 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...

0 Chenxi Wang, et al. ∙

∙ 03/17/2022

Canvas: Isolated and Adaptive Swapping for Multi-Applications on Remote Memory

Remote memory techniques for datacenter applications have recently gaine...

0 Chenxi Wang, et al. ∙

∙ 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...

0 Rui Chen, et al. ∙

∙ 01/19/2022

Swin-Pose: Swin Transformer Based Human Pose Estimation

Convolutional neural networks (CNNs) have been widely utilized in many c...

0 Zinan Xiong, et al. ∙

∙ 10/14/2021

Simple Baseline for Single Human Motion Forecasting

Global human motion forecasting is important in many fields, which is th...

0 Chenxi Wang, et al. ∙

∙ 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 ...

0 Boshen Niu*, et al. ∙

∙ 07/18/2021

SpecBox: A Label-Based Transparent Speculation Scheme Against Transient Execution Attacks

Speculative execution techniques have been a cornerstone of modern proce...

0 Bowen Tang, et al. ∙

∙ 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...

0 Minghao Gou, et al. ∙

∙ 04/28/2020

Transferable Active Grasping and Real Embodied Dataset

Grasping in cluttered scenes is challenging for robot vision systems, as...

0 Xiangyu Chen, et al. ∙

∙ 04/18/2020

Enumerating Chemical Graphs with Two Disjoint Cycles Satisfying Given Path Frequency Specifications

Enumerating chemical graphs satisfying given constraints is a fundamenta...

0 Kyousuke Yamashita, et al. ∙

∙ 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...

0 Yuui Tamura, et al. ∙

∙ 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...

0 Hao-Shu Fang, et al. ∙

∙ 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...

0 Hao-Shu Fang, et al. ∙

∙ 11/25/2019

Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem

Order dispatching and driver repositioning (also known as fleet manageme...

0 John Holler, et al. ∙

∙ 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...

0 Ming Zhou, et al. ∙

∙ 08/02/2019

DELTA: A DEep learning based Language Technology plAtform

In this paper we present DELTA, a deep learning based language technolog...

0 Kun Han, et al. ∙

∙ 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...

0 Jiarui Jin, et al. ∙

∙ 01/31/2019

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning

A fundamental question in any peer-to-peer ridesharing system is how to,...

0 Minne Li, et al. ∙

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