Search Results for author: Chuan Wang

Found 42 papers, 12 papers with code

SwG-former: Sliding-window Graph Convolutional Network Integrated with Conformer for Sound Event Localization and Detection

no code implementations21 Oct 2023 Weiming Huang, Qinghua Huang, Liyan Ma, Zhengyu Chen, Chuan Wang

To improve the performance of SELD in a natural spatial acoustic environment, a general and efficient SwG-former model is proposed by integrating the SwG module with the Conformer.

Event Detection Sound Event Detection +1

MidMed: Towards Mixed-Type Dialogues for Medical Consultation

1 code implementation5 Jun 2023 Xiaoming Shi, Zeming Liu, Chuan Wang, Haitao Leng, Kui Xue, Xiaofan Zhang, Shaoting Zhang

To mitigate this challenge, we propose a novel task and create a human-to-human mixed-type medical consultation dialogue corpus, termed MidMed, covering five dialogue types: task-oriented dialogue for diagnosis, recommendation, knowledge-grounded dialogue, QA, and chitchat.

Dialogue Generation

LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity

1 code implementation7 May 2023 Yuhan Chen, Yihong Luo, Jing Tang, Liang Yang, Siya Qiu, Chuan Wang, Xiaochun Cao

Motivated by it, we propose to use the local similarity (LocalSim) to learn node-level weighted fusion, which can also serve as a plug-and-play module.

Node Classification

Enhanced Soft Label for Semi-Supervised Semantic Segmentation

no code implementations ICCV 2023 Jie Ma, Chuan Wang, Yang Liu, Liang Lin, Guanbin Li

As a mainstream framework in the field of semi-supervised learning (SSL), self-training via pseudo labeling and its variants have witnessed impressive progress in semi-supervised semantic segmentation with the recent advance of deep neural networks.

Contrastive Learning Pseudo Label +1

Combinatorial optimization solving by coherent Ising machines based on spiking neural networks

no code implementations16 Aug 2022 Bo Lu, Yong-Pan Gao, Kai Wen, Chuan Wang

Spiking neural network is a kind of neuromorphic computing that is believed to improve the level of intelligence and provide advantages for quantum computing.

Combinatorial Optimization

Diverse Message Passing for Attribute with Heterophily

no code implementations NeurIPS 2021 Liang Yang, Mengzhe Li, Liyang Liu, bingxin niu, Chuan Wang, Xiaochun Cao, Yuanfang Guo

Based on this attribute homophily rate, we propose a Diverse Message Passing (DMP) framework, which specifies every attribute propagation weight on each edge.

Attribute

ASFlow: Unsupervised Optical Flow Learning with Adaptive Pyramid Sampling

no code implementations8 Apr 2021 Kunming Luo, Ao Luo, Chuan Wang, Haoqiang Fan, Shuaicheng Liu

Equipped with these two modules, our method achieves the best performance for unsupervised optical flow estimation on multiple leading benchmarks, including MPI-SIntel, KITTI 2012 and KITTI 2015.

Optical Flow Estimation

Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection

1 code implementation ICCV 2021 Nianjin Ye, Chuan Wang, Haoqiang Fan, Shuaicheng Liu

Last, we propose a Feature Identity Loss (FIL) to enforce the learned image feature warp-equivariant, meaning that the result should be identical if the order of warp operation and feature extraction is swapped.

Homography Estimation

Integrated 3C in NOMA-enabled Remote-E-Health Systems

no code implementations5 Jan 2021 Xiao Liu, Yuanwei Liu, Zhong Yang, Xinwei Yue, Chuan Wang, Yue Chen

A novel framework is proposed to integrate communication, control and computing (3C) into the fifth-generation and beyond (5GB) wireless networks for satisfying the ultra-reliable low-latency connectivity requirements of remote-e-Health systems.

UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning

2 code implementations CVPR 2021 Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, Jian Sun

By integrating these two components together, our method achieves the best performance for unsupervised optical flow learning on multiple leading benchmarks, including MPI-SIntel, KITTI 2012 and KITTI 2015.

Optical Flow Estimation

HypperSteer: Hypothetical Steering and Data Perturbation in Sequence Prediction with Deep Learning

no code implementations4 Nov 2020 Chuan Wang, Kwan-Liu Ma

Deep Recurrent Neural Networks (RNN) continues to find success in predictive decision-making with temporal event sequences.

Decision Making

FA-GANs: Facial Attractiveness Enhancement with Generative Adversarial Networks on Frontal Faces

no code implementations17 May 2020 Jingwu He, Chuan Wang, Yang Zhang, Jie Guo, Yanwen Guo

To the best of our knowledge, we are the first to enhance the facial attractiveness with GANs in both geometry and appearance aspects.

DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration

no code implementations11 Dec 2019 Nianjin Ye, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Jue Wang, Yongqing Cui

Deep homography methods, on the other hand, are free from such problem by learning deep features for robust performance.

Denoising Homography Estimation +2

Non-parametric Probabilistic Load Flow using Gaussian Process Learning

no code implementations8 Nov 2019 Parikshit Pareek, Chuan Wang, Hung D. Nguyen

In this work, we propose a non-parametric probabilistic load flow (NP-PLF) technique based on the Gaussian Process (GP) learning to understand the power system behavior under uncertainty for better operational decisions.

Test

Recognition of Ischaemia and Infection in Diabetic Foot Ulcers: Dataset and Techniques

no code implementations14 Aug 2019 Manu Goyal, Neil Reeves, Satyan Rajbhandari, Naseer Ahmad, Chuan Wang, Moi Hoon Yap

We found that our proposed Ensemble CNN deep learning algorithms performed better for both classification tasks as compared to handcrafted machine learning algorithms, with 90% accuracy in ischaemia classification and 73% in infection classification.

BIG-bench Machine Learning Binary Classification +3

Semi-Supervised Video Salient Object Detection Using Pseudo-Labels

1 code implementation ICCV 2019 Pengxiang Yan, Guanbin Li, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin

Specifically, we present an effective video saliency detector that consists of a spatial refinement network and a spatiotemporal module.

 Ranked #1 on Video Salient Object Detection on VOS-T (using extra training data)

object-detection Salient Object Detection +2

Semi-supervised Skin Detection by Network with Mutual Guidance

no code implementations ICCV 2019 Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang

In this paper we present a new data-driven method for robust skin detection from a single human portrait image.

Frame-Recurrent Video Inpainting by Robust Optical Flow Inference

no code implementations8 May 2019 Yifan Ding, Chuan Wang, Haibin Huang, Jiaming Liu, Jue Wang, Liqiang Wang

Compared with image inpainting, performing this task on video presents new challenges such as how to preserving temporal consistency and spatial details, as well as how to handle arbitrary input video size and length fast and efficiently.

Image Inpainting Optical Flow Estimation +1

Two-phase Hair Image Synthesis by Self-Enhancing Generative Model

no code implementations28 Feb 2019 Haonan Qiu, Chuan Wang, Hang Zhu, Xiangyu Zhu, Jinjin Gu, Xiaoguang Han

Generating plausible hair image given limited guidance, such as sparse sketches or low-resolution image, has been made possible with the rise of Generative Adversarial Networks (GANs).

Image-to-Image Translation Super-Resolution +2

GIF2Video: Color Dequantization and Temporal Interpolation of GIF images

no code implementations CVPR 2019 Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang, Minh Hoai

In this paper, we propose GIF2Video, the first learning-based method for enhancing the visual quality of GIFs in the wild.

Quantization

MGANet: A Robust Model for Quality Enhancement of Compressed Video

2 code implementations22 Nov 2018 Xiandong Meng, Xuan Deng, Shuyuan Zhu, Shuaicheng Liu, Chuan Wang, Chen Chen, Bing Zeng

In video compression, most of the existing deep learning approaches concentrate on the visual quality of a single frame, while ignoring the useful priors as well as the temporal information of adjacent frames.

Video Compression

A Simple but Effective Classification Model for Grammatical Error Correction

no code implementations2 Jul 2018 Zhu Kaili, Chuan Wang, Ruobing Li, Yang Liu, Tianlei Hu, Hui Lin

We treat grammatical error correction (GEC) as a classification problem in this study, where for different types of errors, a target word is identified, and the classifier predicts the correct word form from a set of possible choices.

Classification General Classification +2

Video Inpainting by Jointly Learning Temporal Structure and Spatial Details

no code implementations22 Jun 2018 Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang

We present a new data-driven video inpainting method for recovering missing regions of video frames.

Video Inpainting

Getting the Most out of AMR Parsing

no code implementations EMNLP 2017 Chuan Wang, Nianwen Xue

This paper proposes to tackle the AMR parsing bottleneck by improving two components of an AMR parser: concept identification and alignment.

AMR Parsing Concept Alignment +3

Look, Listen and Learn - A Multimodal LSTM for Speaker Identification

no code implementations13 Feb 2016 Jimmy Ren, Yongtao Hu, Yu-Wing Tai, Chuan Wang, Li Xu, Wenxiu Sun, Qiong Yan

This task not only requires collective perception over both visual and auditory signals, the robustness to handle severe quality degradations and unconstrained content variations are also indispensable.

Speaker Identification

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