no code implementations • 17 Apr 2024 • Hongzhao Li, Hongyu Wang, Xia Sun, Hua He, Jun Feng
Our method introduces a prompt-guided approach to generate structured chest X-ray reports using a pre-trained large language model (LLM).
4 code implementations • 27 Feb 2024 • Shuming Ma, Hongyu Wang, Lingxiao Ma, Lei Wang, Wenhui Wang, Shaohan Huang, Li Dong, Ruiping Wang, Jilong Xue, Furu Wei
Recent research, such as BitNet, is paving the way for a new era of 1-bit Large Language Models (LLMs).
no code implementations • 5 Feb 2024 • Mingrui Li, Shuhong Liu, Heng Zhou, Guohao Zhu, Na Cheng, Tianchen Deng, Hongyu Wang
We present SGS-SLAM, the first semantic visual SLAM system based on Gaussian Splatting.
no code implementations • 3 Jan 2024 • Mingrui Li, Yiming Zhou, Guangan Jiang, Tianchen Deng, Yangyang Wang, Hongyu Wang
To address dynamic tracking interferences, we propose a feature point segmentation method that combines semantic features with a mixed Gaussian distribution model.
no code implementations • 2 Jan 2024 • Hongyu Wang, Xiaotao Liu, YiFan Li, Meng Sun, Dian Yuan, Jing Liu
RGBT tracking has been widely used in various fields such as robotics, surveillance processing, and autonomous driving.
Ranked #4 on Rgb-T Tracking on RGBT210
no code implementations • 28 Dec 2023 • Hongyu Wang, Hui Li, Bo Li
Speaker verification is to judge the similarity of two unknown voices in an open set, where the ideal speaker embedding should be able to condense discriminant information into a compact utterance-level representation that has small intra-speaker distances and large inter-speaker distances. We propose a novel model named Voice Transformer(VOT) for speaker verification.
2 code implementations • 17 Oct 2023 • Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Huaijie Wang, Lingxiao Ma, Fan Yang, Ruiping Wang, Yi Wu, Furu Wei
The increasing size of large language models has posed challenges for deployment and raised concerns about environmental impact due to high energy consumption.
1 code implementation • 23 Aug 2023 • Chenrui Zhang, Lin Liu, Jinpeng Wang, Chuyuan Wang, Xiao Sun, Hongyu Wang, Mingchen Cai
Moreover, to enhance stability of the prompt effect evaluation, we propose a novel prompt bagging method involving forward and backward thinking, which is superior to majority voting and is beneficial for both feedback and weight calculation in boosting.
no code implementations • 1 Jun 2023 • Dunbin Shen, Xiaorui Ma, Wenfeng Kong, Jiacheng Tian, Hongyu Wang
Firstly, to obtain a complete and pure background dictionary, we propose a LRR-based background subspace learning method by jointly mining the low-dimensional structure of all pixels.
no code implementations • 12 Jan 2023 • Hongyu Wang, Aming Li, Long Wang
Previous studies have shown that the topological properties of a complex network, such as heterogeneity and average degree, affect the evolutionary game dynamics on it.
no code implementations • 9 Jan 2023 • Xiangyu Li, Gongning Luo, Kuanquan Wang, Hongyu Wang, Jun Liu, Xinjie Liang, Jie Jiang, Zhenghao Song, Chunyue Zheng, Haokai Chi, Mingwang Xu, Yingte He, Xinghua Ma, Jingwen Guo, Yifan Liu, Chuanpu Li, Zeli Chen, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Antoine P. Sanner, Anirban Mukhopadhyay, Ahmed E. Othman, Xingyu Zhao, Weiping Liu, Jinhuang Zhang, Xiangyuan Ma, Qinghui Liu, Bradley J. MacIntosh, Wei Liang, Moona Mazher, Abdul Qayyum, Valeriia Abramova, Xavier Lladó, Shuo Li
It is intended to resolve the above-mentioned problems and promote the development of both intracranial hemorrhage segmentation and anisotropic data processing.
1 code implementation • 23 Nov 2022 • Shuming Ma, Hongyu Wang, Shaohan Huang, Wenhui Wang, Zewen Chi, Li Dong, Alon Benhaim, Barun Patra, Vishrav Chaudhary, Xia Song, Furu Wei
Large Transformers have achieved state-of-the-art performance across many tasks.
4 code implementations • 12 Oct 2022 • Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei
A big convergence of model architectures across language, vision, speech, and multimodal is emerging.
1 code implementation • 12 May 2022 • Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoffrey Holmes
Recently published CDFSL methods generally construct a universal model that combines knowledge of multiple source domains into one feature extractor.
6 code implementations • 1 Mar 2022 • Hongyu Wang, Shuming Ma, Li Dong, Shaohan Huang, Dongdong Zhang, Furu Wei
In this paper, we propose a simple yet effective method to stabilize extremely deep Transformers.
no code implementations • 25 Oct 2021 • Wei Zhou, Xiangyu Zhang, Hongyu Wang, Shenghua Gao, Xin Lou
It is shown that by adding another transformation, the proposed method is able to synthesize high-quality RAW Bayer images with arbitrary size.
no code implementations • 27 May 2021 • Lang He, MingYue Niu, Prayag Tiwari, Pekka Marttinen, Rui Su, Jiewei Jiang, Chenguang Guo, Hongyu Wang, Songtao Ding, Zhongmin Wang, Wei Dang, Xiaoying Pan
Consequently, to improve current medical care, many scholars have used deep learning to extract a representation of depression cues in audio and video for automatic depression detection.
1 code implementation • 15 Dec 2020 • Miaowei Wang, Alexander William Mohacey, Hongyu Wang, James Apfel
Since 2014, very deep convolutional neural networks have been proposed and become the must-have weapon for champions in all kinds of competition.
no code implementations • 26 Nov 2020 • Haichou Li, Jinsong Liu, Hongyu Wang
Following M. Abate and A. Saracco's work on strongly pseudoconvex domains in $\mathbb{C}^n$, we characterize Carleson measures of $A^2(D)$ in bounded convex domains with smooth boundary of finite type.
Complex Variables
1 code implementation • 3 Jul 2020 • Mingyuan Ma, Sen Na, Hongyu Wang
In extensive experiments on citation networks and other heterogeneous graphs, we demonstrate that adding autoencoder constraints significantly improves the performance of graph convolutional networks.
no code implementations • 26 Feb 2020 • Hongyu Wang, Guangcun Shan
In this paper, a robust multiscale neural network is proposed to recognize handwritten mathematical expressions and output LaTeX sequences, which can effectively and correctly focus on where each step of output should be concerned and has a positive effect on analyzing the two-dimensional structure of handwritten mathematical expressions and identifying different mathematical symbols in a long expression.
no code implementations • 8 Oct 2019 • Pingping Zhang, Wei Liu, Yinjie Lei, Hongyu Wang, Huchuan Lu
The proposed method consists of three modules, i. e., recurrent FCNs, adaptive multiphase level set, and deeply supervised learning.
no code implementations • 22 Jul 2019 • Guangcun Shan, Hongyu Wang, Wei Liang, Congcong Liu, Qizi Ma, Quan Quan
Recently, deep learning technology have been extensively used in the field of image recognition.
no code implementations • 8 Feb 2019 • Guangcun Shan, Hongyu Wang, Wei Liang
Offline handwritten mathematical expression recognition is a challenging task, because handwritten mathematical expressions mainly have two problems in the process of recognition.
1 code implementation • 30 Nov 2018 • Mingyuan Ma, Sen Na, Hongyu Wang, Congzhou Chen, Jin Xu
First, we build an interaction behavior graph for multi-level and multi-category data.
no code implementations • 9 Jul 2018 • Hongyu Wang, Yong Xia
Computer-aided techniques may lead to more accurate and more acces-sible diagnosis of thorax diseases on chest radiography.
no code implementations • 22 Feb 2018 • Ju Dai, Pingping Zhang, Huchuan Lu, Hongyu Wang
In this paper, we propose a novel feature learning framework for video person re-identification (re-ID).
no code implementations • 22 Feb 2018 • Pingping Zhang, Wei Liu, Dong Wang, Yinjie Lei, Hongyu Wang, Chunhua Shen, Huchuan Lu
Extensive experiments demonstrate that the proposed algorithm achieves competitive performance in both saliency detection and visual tracking, especially outperforming other related trackers on the non-rigid object tracking datasets.
1 code implementation • ICCV 2017 • Pingping Zhang, Dong Wang, Huchuan Lu, Hongyu Wang, Bao-Cai Yin
In this paper, we propose a novel deep fully convolutional network model for accurate salient object detection.
Ranked #5 on Saliency Detection on DUT-OMRON
1 code implementation • ICCV 2017 • Pingping Zhang, Dong Wang, Huchuan Lu, Hongyu Wang, Xiang Ruan
In addition, to achieve accurate boundary inference and semantic enhancement, edge-aware feature maps in low-level layers and the predicted results of low resolution features are recursively embedded into the learning framework.
Ranked #20 on RGB Salient Object Detection on DUTS-TE (max F-measure metric)
no code implementations • 26 Jul 2016 • Yifan Wang, Lijun Wang, Hongyu Wang, Peihua Li
In this paper, we seek an alternative and propose a new image SR method, which jointly learns the feature extraction, upsampling and HR reconstruction modules, yielding a completely end-to-end trainable deep CNN.