Search Results for author: Chenxi Wang

Found 17 papers, 6 papers with code

The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction

no code implementations15 Sep 2023 Shilong Wu, Chenxi Wang, Hang Chen, Yusheng Dai, Chenyue Zhang, Ruoyu Wang, Hongbo Lan, Jun Du, Chin-Hui Lee, Jingdong Chen, Shinji Watanabe, Sabato Marco Siniscalchi, Odette Scharenborg, Zhong-Qiu Wang, Jia Pan, Jianqing Gao

This pioneering effort aims to set the first benchmark for the AVTSE task, offering fresh insights into enhancing the ac-curacy of back-end speech recognition systems through AVTSE in challenging and real acoustic environments.

Audio-Visual Speech Recognition speech-recognition +2

MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing

1 code implementation ICCV 2023 Yuwei Qiu, Kaihao Zhang, Chenxi Wang, Wenhan Luo, Hongdong Li, Zhi Jin

To address this issue, we propose a new Transformer variant, which applies the Taylor expansion to approximate the softmax-attention and achieves linear computational complexity.

Image Dehazing

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

1 code implementation6 Aug 2023 Chenxi Wang, Hongjun Wu, Zhi Jin

In the first stage, we improve the lightness of low-light images by estimating the amplitude transform map in the Fourier space.

Low-Light Image Enhancement

Brighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancement

no code implementations6 Aug 2023 Chenxi Wang, Zhi Jin

The colorization sub-task is accomplished by regarding the chrominance of the low-light image as color guidance like the user-guide image colorization.

Colorization Image Colorization +2

Target-Referenced Reactive Grasping for Dynamic Objects

no code implementations CVPR 2023 Jirong Liu, Ruo Zhang, Hao-Shu Fang, Minghao Gou, Hongjie Fang, Chenxi Wang, Sheng Xu, Hengxu Yan, Cewu Lu

Reactive grasping, which enables the robot to successfully grasp dynamic moving objects, is of great interest in robotics.

Swin-Pose: Swin Transformer Based Human Pose Estimation

no code implementations19 Jan 2022 Zinan Xiong, Chenxi Wang, Ying Li, Yan Luo, Yu Cao

We are interested in exploring its capability in human pose estimation, and thus propose a novel model based on transformer architecture, enhanced with a feature pyramid fusion structure.

Pose Estimation

Simple Baseline for Single Human Motion Forecasting

no code implementations14 Oct 2021 Chenxi Wang, Yunfeng Wang, Zixuan Huang, Zhiwen Chen

Global human motion forecasting is important in many fields, which is the combination of global human trajectory prediction and local human pose prediction.

Motion Forecasting Pose Prediction +1

RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images

1 code implementation3 Mar 2021 Minghao Gou, Hao-Shu Fang, Zhanda Zhu, Sheng Xu, Chenxi Wang, Cewu Lu

In the first stage, an encoder-decoder like convolutional neural network Angle-View Net(AVN) is proposed to predict the SO(3) orientation of the gripper at every location of the image.

Graspness Discovery in Clutters for Fast and Accurate Grasp Detection

1 code implementation ICCV 2021 Chenxi Wang, Hao-Shu Fang, Minghao Gou, Hongjie Fang, Jin Gao, Cewu Lu

To quickly detect graspness in practice, we develop a neural network named graspness model to approximate the searching process.

Robotic Grasping

Transferable Active Grasping and Real Embodied Dataset

1 code implementation28 Apr 2020 Xiangyu Chen, Zelin Ye, Jiankai Sun, Yuda Fan, Fang Hu, Chenxi Wang, Cewu Lu

Grasping in cluttered scenes is challenging for robot vision systems, as detection accuracy can be hindered by partial occlusion of objects.

Reinforcement Learning (RL)

GraspNet: A Large-Scale Clustered and Densely Annotated Dataset for Object Grasping

no code implementations31 Dec 2019 Hao-Shu Fang, Chenxi Wang, Minghao Gou, Cewu Lu

Object grasping is critical for many applications, which is also a challenging computer vision problem.

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

no code implementations25 Nov 2019 John Holler, Risto Vuorio, Zhiwei Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye

Order dispatching and driver repositioning (also known as fleet management) in the face of spatially and temporally varying supply and demand are central to a ride-sharing platform marketplace.

BIG-bench Machine Learning Decision Making +3

CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms

no code implementations27 May 2019 Jiarui Jin, Ming Zhou, Wei-Nan Zhang, Minne Li, Zilong Guo, Zhiwei Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye

How to optimally dispatch orders to vehicles and how to trade off between immediate and future returns are fundamental questions for a typical ride-hailing platform.

Multiagent Systems

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