Search Results for author: Weidong Zhang

Found 15 papers, 6 papers with code

Mci-net: multi-scale context integrated network for liver ct image segmentation

1 code implementation Computers and Electrical Engineering 2023 Xiwang Xie, Xipeng Pan, Feng Shao, Weidong Zhang, Jubai An

Owing to the various object scales and high similarity with the surrounding organs (e. g., kidney, stomach, and spleen), it is difficult to accurately segment the liver region from the abdominal computed tomography images.

Image Segmentation Liver Segmentation +1

Mastering Asymmetrical Multiplayer Game with Multi-Agent Asymmetric-Evolution Reinforcement Learning

no code implementations20 Apr 2023 Chenglu Sun, Yichi Zhang, Yu Zhang, Ziling Lu, Jingbin Liu, Sijia Xu, Weidong Zhang

We propose asymmetric-evolution training (AET), a novel multi-agent reinforcement learning framework that can train multiple kinds of agents simultaneously in AMP game.

Multi-agent Reinforcement Learning reinforcement-learning

Learning Analytical Posterior Probability for Human Mesh Recovery

1 code implementation CVPR 2023 Qi Fang, Kang Chen, Yinghui Fan, Qing Shuai, Jiefeng Li, Weidong Zhang

Despite various probabilistic methods for modeling the uncertainty and ambiguity in human mesh recovery, their overall precision is limited because existing formulations for joint rotations are either not constrained to SO(3) or difficult to learn for neural networks.

Human Mesh Recovery

CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics

1 code implementation5 Dec 2022 Yiren Song, Xuning Shao, Kang Chen, Weidong Zhang, Minzhe Li, Zhongliang Jing

Considerable progress has recently been made in leveraging CLIP (Contrastive Language-Image Pre-Training) models for text-guided image manipulation.

Image Manipulation Vector Graphics

Underwater Ranker: Learn Which Is Better and How to Be Better

1 code implementation14 Aug 2022 Chunle Guo, Ruiqi Wu, Xin Jin, Linghao Han, Zhi Chai, Weidong Zhang, Chongyi Li

To achieve that, we also contribute a dataset, URankerSet, containing sufficient results enhanced by different UIE algorithms and the corresponding perceptual rankings, to train our URanker.

Image Enhancement Image Quality Assessment

LookinGood^π: Real-time Person-independent Neural Re-rendering for High-quality Human Performance Capture

no code implementations15 Dec 2021 Xiqi Yang, Kewei Yang, Kang Chen, Weidong Zhang, Weiwei Xu

The guidance of the rendered image is realized by blending features from two branches effectively in the training of the detail branch, which improves both the warping accuracy and the details' fidelity.

Neural Rendering

SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation

1 code implementation ICCV 2021 Xuning Shao, Weidong Zhang

For unsupervised image-to-image translation, we propose a discriminator architecture which focuses on the statistical features instead of individual patches.

Translation Unsupervised Image-To-Image Translation

A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Link Rewiring

no code implementations1 Jan 2021 Gege Zhang, Gangwei Li, Weining Shen, Huixin Zhang, Weidong Zhang

Expressivity plays a fundamental role in evaluating deep neural networks, and it is closely related to understanding the limit of performance improvement.

Node Classification

Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge

no code implementations29 Dec 2020 Xiu-Shen Wei, Yu-Yan Xu, Yazhou Yao, Jia Wei, Si Xi, Wenyuan Xu, Weidong Zhang, Xiaoxin Lv, Dengpan Fu, Qing Li, Baoying Chen, Haojie Guo, Taolue Xue, Haipeng Jing, Zhiheng Wang, Tianming Zhang, Mingwen Zhang

WebFG 2020 is an international challenge hosted by Nanjing University of Science and Technology, University of Edinburgh, Nanjing University, The University of Adelaide, Waseda University, etc.

Soft policy optimization using dual-track advantage estimator

no code implementations15 Sep 2020 Yubo Huang, Xuechun Wang, Luobao Zou, Zhiwei Zhuang, Weidong Zhang

In reinforcement learning (RL), we always expect the agent to explore as many states as possible in the initial stage of training and exploit the explored information in the subsequent stage to discover the most returnable trajectory.

Reinforcement Learning (RL)

SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration

1 code implementation4 Aug 2020 Mengzuo Huang, Feng Li, Wuhe Zou, Weidong Zhang

Dialogue systems in open domain have achieved great success due to the easily obtained single-turn corpus and the development of deep learning, but the multi-turn scenario is still a challenge because of the frequent coreference and information omission.

 Ranked #1 on Dialogue Rewriting on Multi-Rewrite (BLEU-1 metric)

Dialogue Rewriting Text Generation

The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos?

no code implementations11 Oct 2019 Gege Zhang, Gangwei Li, Ningwei Shen, Weidong Zhang

In this paper, we provide a quantitative analysis of the expressivity for the deep neural network (DNN) from its dynamic model, where the Hilbert space is employed to analyze the convergence and criticality.

Image Classification Time Series Prediction

Edge-Semantic Learning Strategy for Layout Estimation in Indoor Environment

no code implementations3 Jan 2019 Weidong Zhang, Wei zhang, Jason Gu

More specifically, we present an encoder-decoder network with shared encoder and two separate decoders, which are composed of multiple deconvolution (transposed convolution) layers, to jointly learn the edge maps and semantic labels of a room image.

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