Search Results for author: Zhicheng Zhang

Found 26 papers, 9 papers with code

BiHRNet: A Binary high-resolution network for Human Pose Estimation

no code implementations17 Nov 2023 Zhicheng Zhang, Xueyao Sun, Yonghao Dang, Jianqin Yin

On the challenging of COCO dataset, the proposed method enables the binary neural network to achieve 70. 8 mAP, which is better than most tested lightweight full-precision networks.

Binarization Pose Estimation

Understanding AI Cognition: A Neural Module for Inference Inspired by Human Memory Mechanisms

no code implementations1 Oct 2023 Xiangyu Zeng, Jie Lin, Piao Hu, Ruizheng Huang, Zhicheng Zhang

How humans and machines make sense of current inputs for relation reasoning and question-answering while putting the perceived information into context of our past memories, has been a challenging conundrum in cognitive science and artificial intelligence.

Image Classification Question Answering

ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models

1 code implementation2 Sep 2023 Chenliang Li, Hehong Chen, Ming Yan, Weizhou Shen, Haiyang Xu, Zhikai Wu, Zhicheng Zhang, Wenmeng Zhou, Yingda Chen, Chen Cheng, Hongzhu Shi, Ji Zhang, Fei Huang, Jingren Zhou

Large language models (LLMs) have recently demonstrated remarkable capabilities to comprehend human intentions, engage in reasoning, and design planning-like behavior.

Physics-constrained Attack against Convolution-based Human Motion Prediction

1 code implementation21 Jun 2023 Chengxu Duan, Zhicheng Zhang, Xiaoli Liu, Yonghao Dang, Jianqin Yin

Specifically, we introduce a novel adaptable scheme that facilitates the attack to suit the scale of the target pose and two physical constraints to enhance the naturalness of the adversarial example.

Adversarial Attack Adversarial Robustness +2

Sparse Feedback Controller: From Open-loop Solution to Closed-loop Realization

no code implementations27 Mar 2023 Zhicheng Zhang, Yasumasa Fujisaki

In this paper, we explore the discrete time sparse feedback control for a linear invariant system, where the proposed optimal feedback controller enjoys input sparsity by using a dynamic linear compensator, i. e., the components of feedback control signal having the smallest possible nonzero values.

Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling

1 code implementation30 Jan 2023 Hong-Yu Zhou, Yunxiang Fu, Zhicheng Zhang, Cheng Bian, Yizhou Yu

Protein representation learning has primarily benefited from the remarkable development of language models (LMs).

Representation Learning

Multiple Planar Object Tracking

no code implementations ICCV 2023 Zhicheng Zhang, Shengzhe Liu, Jufeng Yang

Specifically, we present a dual-branch network to track the visible part of planar objects, including vertexes and mask.

Object Object Tracking

An end-to-end multi-scale network for action prediction in videos

no code implementations31 Dec 2022 Xiaofa Liu, Jianqin Yin, Yuan Sun, Zhicheng Zhang, Jin Tang

Unlike most existing methods with offline feature generation, our method directly takes frames as input and further models motion evolution on two different temporal scales. Therefore, we solve the complexity problems of the two stages of modeling and the problem of insufficient temporal and spatial information of a single scale.

Robust output regulation of linear system subject to modeled and unmodeled uncertainty

no code implementations27 Oct 2022 Zhicheng Zhang, Zhiqiang Zuo, Xiang Chen, Ying Tan, Yijing Wang

The output regulation scheme is utilized in the framework to track the reference in the presence of modeled disturbance, and the effect of unmodeled disturbance is reduced by an $\mathcal{H}_\infty$ compensator.

ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification

1 code implementation1 Sep 2022 Zhixiong Yang, Junwen Pan, Yanzhan Yang, Xiaozhou Shi, Hong-Yu Zhou, Zhicheng Zhang, Cheng Bian

The overall framework, namely as Prototype-aware Contrastive learning (ProCo), is unified as a single-stage pipeline in an end-to-end manner to alleviate the imbalanced problem in medical image classification, which is also a distinct progress than existing works as they follow the traditional two-stage pipeline.

Contrastive Learning Image Classification +1

Tell Me the Evidence? Dual Visual-Linguistic Interaction for Answer Grounding

no code implementations21 Jun 2022 Junwen Pan, Guanlin Chen, Yi Liu, Jiexiang Wang, Cheng Bian, Pengfei Zhu, Zhicheng Zhang

Answer grounding aims to reveal the visual evidence for visual question answering (VQA), which entails highlighting relevant positions in the image when answering questions about images.

Question Answering Visual Grounding +1

Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects

no code implementations20 Mar 2022 Xihuai Wang, Zhicheng Zhang, Weinan Zhang

Significant advances have recently been achieved in Multi-Agent Reinforcement Learning (MARL) which tackles sequential decision-making problems involving multiple participants.

Decision Making Multi-agent Reinforcement Learning +2

Topological EEG Nonlinear Dynamics Analysis for Emotion Recognition

no code implementations14 Mar 2022 Yan Yan, Xuankun Wu, Chengdong Li, Yini He, Zhicheng Zhang, Huihui Li, Ang Li, Lei Wang

The proposed work is the first investigation in the emotion recognition oriented EEG topological feature analysis, which brought a novel insight into the brain neural system nonlinear dynamics analysis and feature extraction.

Arousal Estimation Dominance Estimation +7

Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning

no code implementations28 Sep 2021 Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Hongyi Ren, Wei Zhao, Lei Xing

We then design a novel FBP reconstruction loss to encourage the network to generate more perfect completion results and a residual-learning-based image refinement module to reduce the secondary artifacts in the reconstructed CT images.

Image Reconstruction Metal Artifact Reduction

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

1 code implementation13 May 2021 Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang

In Goal-oriented Reinforcement learning, relabeling the raw goals in past experience to provide agents with hindsight ability is a major solution to the reward sparsity problem.

TransCT: Dual-path Transformer for Low Dose Computed Tomography

1 code implementation28 Feb 2021 Zhicheng Zhang, Lequan Yu, Xiaokun Liang, Wei Zhao, Lei Xing

Low dose computed tomography (LDCT) has attracted more and more attention in routine clinical diagnosis assessment, therapy planning, etc., which can reduce the dose of X-ray radiation to patients.

Adaptive Deconvolution-based stereo matching Net for Local Stereo Matching

no code implementations1 Jan 2021 Xin Ma, Zhicheng Zhang, Danfeng Wang, Yu Luo, Hui Yuan

In deep learning-based local stereo matching methods, larger image patches usually bring better stereo matching accuracy.

Stereo Matching

Elastic Net based Feature Ranking and Selection

no code implementations30 Dec 2020 Shaode Yu, Haobo Chen, Hang Yu, Zhicheng Zhang, Xiaokun Liang, Wenjian Qin, Yaoqin Xie, Ping Shi

After features are sorted according to their frequency, linear support vector machine performs the classification in an incremental manner.

Feature Importance feature selection

CT Super Resolution via Zero Shot Learning

no code implementations16 Dec 2020 Zhicheng Zhang, Shaode Yu, Wenjian Qin, Xiaokun Liang, Yaoqin Xie, Guohua Cao

We incorporated the CT domain knowledge into the SADIR and unrolled it into a DL network (SADIR Net).

Computed Tomography (CT) Super-Resolution +1

Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images

no code implementations16 Sep 2020 Lequan Yu, Zhicheng Zhang, Xiaomeng Li, Lei Xing

Computed tomography (CT) has been widely used for medical diagnosis, assessment, and therapy planning and guidance.

Computed Tomography (CT) Image Generation +2

Cannot find the paper you are looking for? You can Submit a new open access paper.