no code implementations • 9 Nov 2023 • Cheng Yang, Rui Xu, Ye Guo, Peixiang Huang, Yiru Chen, Wenkui Ding, Zhongyuan Wang, Hong Zhou
Further, we design two pre-training tasks named object position regression (OPR) and spatial relation classification (SRC) to learn to reconstruct the spatial relation graph respectively.
no code implementations • 9 Nov 2023 • Rui Xu, Wenkang Qin, Peixiang Huang, Hao Wang, Lin Luo
Deep Neural Networks (DNNs) are expected to provide explanation for users to understand their black-box predictions.
no code implementations • 31 Oct 2023 • Peixiang Huang, Songtao Zhang, Yulu Gan, Rui Xu, Rongqi Zhu, Wenkang Qin, Limei Guo, Shan Jiang, Lin Luo
Deep learning in digital pathology brings intelligence and automation as substantial enhancements to pathological analysis, the gold standard of clinical diagnosis.
no code implementations • 31 Oct 2023 • Wenkang Qin, Rui Xu, Peixiang Huang, Xiaomin Wu, Heyu Zhang, Lin Luo
Pathological captioning of Whole Slide Images (WSIs), though is essential in computer-aided pathological diagnosis, has rarely been studied due to the limitations in datasets and model training efficacy.
no code implementations • 21 Sep 2023 • Yidong Liu, FuKai Shang, Fang Wang, Rui Xu, Jun Wang, Wei Li, Yao Li, Conghui He
With the advancement of deep learning technologies, general-purpose large models such as GPT-4 have demonstrated exceptional capabilities across various domains.
no code implementations • 4 Sep 2023 • Zixiong Wang, Yunxiao Zhang, Rui Xu, Fan Zhang, PengShuai Wang, Shuangmin Chen, Shiqing Xin, Wenping Wang, Changhe Tu
Our approach enforces the Hessian of the neural implicit function to have a zero determinant for points near the surface.
no code implementations • 11 Aug 2023 • Rui Xu, Yong Luo, Han Hu, Bo Du, Jialie Shen, Yonggang Wen
Weakly supervised object localization (WSOL) is one of the most popular and challenging tasks in computer vision.
no code implementations • 11 Jul 2023 • Zhouhon Gu, Zihan Li, Lin Zhang, Zhuozhi Xiong, Haoning Ye, Yikai Zhang, Wenhao Huang, Xiaoxuan Zhu, Qianyu He, Rui Xu, Sihang Jiang, Shusen Wang, Zili Wang, Hongwei Feng, Zhixu Li, Yanghua Xiao
Informal reasoning ability is the ability to reason based on common sense, experience, and intuition. Humans use informal reasoning every day to extract the most influential elements for their decision-making from a large amount of life-like information. With the rapid development of language models, the realization of general artificial intelligence has emerged with hope.
1 code implementation • 9 Jun 2023 • Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, Lin Zhang, Jianchen Wang, Sihang Jiang, Zhuozhi Xiong, Zihan Li, Qianyu He, Rui Xu, Wenhao Huang, Zili Wang, Shusen Wang, Weiguo Zheng, Hongwei Feng, Yanghua Xiao
New Natural Langauge Process~(NLP) benchmarks are urgently needed to align with the rapid development of large language models (LLMs).
no code implementations • 8 Jun 2023 • Qiujie Dong, Xiaoran Gong, Rui Xu, Zixiong Wang, Shuangmin Chen, Shiqing Xin, Changhe Tu, Wenping Wang
With the rapid development of geometric deep learning techniques, many mesh-based convolutional operators have been proposed to bridge irregular mesh structures and popular backbone networks.
no code implementations • 2 Jun 2023 • Tiehua Zhang, Rui Xu, Jianping Zhang, Yuzhe Tian, Xin Chen, Xiaowei Huang, Jun Yin, Xi Zheng
Vulnerability detection is a critical problem in software security and attracts growing attention both from academia and industry.
no code implementations • 12 Apr 2023 • Guoyu Lu, Sheng Li, Gengchen Mai, Jin Sun, Dajiang Zhu, Lilong Chai, Haijian Sun, Xianqiao Wang, Haixing Dai, Ninghao Liu, Rui Xu, Daniel Petti, Tianming Liu, Changying Li
Artificial General Intelligence (AGI) is poised to revolutionize a variety of sectors, including healthcare, finance, transportation, and education.
no code implementations • 3 Apr 2023 • Rui Xu, Yong Luo, Bo Du
This motivates us to propose a Source-free Unsupervised cross-domain method for Pulmonary nodule detection (SUP).
1 code implementation • 7 Mar 2023 • Rui Xu, Zhi Liu, Yong Luo, Han Hu, Li Shen, Bo Du, Kaiming Kuang, Jiancheng Yang
To address this issue, we propose a slice grouped domain attention (SGDA) module to enhance the generalization capability of the pulmonary nodule detection networks.
1 code implementation • 28 Jan 2023 • Jiawei Mao, Rui Xu, Xuesong Yin, Yuanqi Chang, Binling Nie, Aibin Huang
POSTER achieves the state-of-the-art (SOTA) performance in FER by effectively combining facial landmark and image features through two-stream pyramid cross-fusion design.
Ranked #1 on
Facial Expression Recognition (FER)
on AffectNet
Facial Expression Recognition
Facial Expression Recognition (FER)
1 code implementation • 24 Nov 2022 • Jiawei Mao, Guangyi Zhao, Yuanqi Chang, Xuesong Yin, Xiaogang Peng, Rui Xu
We extensively evaluate ASIT on facial datasets such as FFHQ and CelebA-HQ, showing that our approach achieves state-of-the-art facial inversion performance.
Facial Expression Recognition
Facial Expression Recognition (FER)
+1
1 code implementation • 22 Nov 2022 • Jiangjie Chen, Rui Xu, Wenxuan Zeng, Changzhi Sun, Lei LI, Yanghua Xiao
Given a possibly false claim sentence, how can we automatically correct it with minimal editing?
1 code implementation • 23 Oct 2022 • Hualie Jiang, Rui Xu, Wenjie Jiang
Stereo-matching is a fundamental problem in computer vision.
1 code implementation • 3 Aug 2022 • Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang
Convolutional neural networks (CNNs) have been demonstrated to be highly effective in the field of pulmonary nodule detection.
no code implementations • 7 Jun 2022 • Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng
Spatial-temporal data contains rich information and has been widely studied in recent years due to the rapid development of relevant applications in many fields.
1 code implementation • NAACL 2022 • Chun Zeng, Jiangjie Chen, Tianyi Zhuang, Rui Xu, Hao Yang, Ying Qin, Shimin Tao, Yanghua Xiao
To this end, we propose a plug-in algorithm for this line of work, i. e., Aligned Constrained Training (ACT), which alleviates this problem by familiarizing the model with the source-side context of the constraints.
no code implementations • Findings (ACL) 2022 • Jiangjie Chen, Rui Xu, Ziquan Fu, Wei Shi, Zhongqiao Li, Xinbo Zhang, Changzhi Sun, Lei LI, Yanghua Xiao, Hao Zhou
Holding the belief that models capable of reasoning should be right for the right reasons, we propose a first-of-its-kind Explainable Knowledge-intensive Analogical Reasoning benchmark (E-KAR).
no code implementations • 24 Feb 2022 • Rui Xu, Zongyan Han, Le Hui, Jianjun Qian, Jin Xie
Then, we develop a generative adversarial network that combines the domain-specific features of the seen categories with the aligned domain-invariant features to synthesize samples, where the synthesized samples of the unseen categories are generated by using the corresponding word embeddings.
no code implementations • 3 Dec 2021 • Shuai Shao, Lei Xing, Wei Yu, Rui Xu, Yanjiang Wang, BaoDi Liu
Inspired by the concept of self-supervised learning (e. g., setting the pretext task to generate a universal model for the downstream task), we propose a Self-Supervised Dictionary Learning (SSDL) framework to address this challenge.
no code implementations • 1 Dec 2021 • Shuai Shao, Lei Xing, Rui Xu, Weifeng Liu, Yan-Jiang Wang, Bao-Di Liu
Inspired by this assumption, we propose a novel method Multi-Decision Fusing Model (MDFM), which comprehensively considers the decisions based on multiple FEMs to enhance the efficacy and robustness of the model.
no code implementations • 14 Nov 2021 • Rui Xu, Dongxiao Zhang, Nanzhe Wang
The surrogate models are used to conduct uncertainty quantification considering a stochastic permeability field, as well as to infer unknown permeability information based on limited well production data and observation data of formation properties.
no code implementations • 12 Nov 2021 • Yuhong Song, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Rui Xu, Yongzhuo Zhang, Bingzhe Li, Lei Yang
Unlike ML on the edge, TinyML with a limited energy supply has higher demands on low-power execution.
no code implementations • 25 Oct 2021 • Rui Xu, Xiangyu Xu, Kai Chen, Bolei Zhou, Chen Change Loy
Transformer becomes prevalent in computer vision, especially for high-level vision tasks.
no code implementations • 16 Sep 2021 • Shuai Shao, Lei Xing, Yan Wang, Rui Xu, Chunyan Zhao, Yan-Jiang Wang, Bao-Di Liu
Apply the trained FEM to acquire the novel data's features and recognize them.
no code implementations • CVPR 2021 • Baoli Sun, Xinchen Ye, Baopu Li, Haojie Li, Zhihui Wang, Rui Xu
First, we design a cross-task distillation scheme that encourages DSR and DE networks to learn from each other in a teacher-student role-exchanging fashion.
no code implementations • 23 Dec 2020 • Letian Zhao, Rui Xu, Tianqi Wang, Teng Tian, Xiaotian Wang, Wei Wu, Chio-in Ieong, Xi Jin
The size of deep neural networks (DNNs) grows rapidly as the complexity of the machine learning algorithm increases.
no code implementations • CVPR 2021 • Rui Xu, Xintao Wang, Kai Chen, Bolei Zhou, Chen Change Loy
In this work, taking SinGAN and StyleGAN2 as examples, we show that such capability, to a large extent, is brought by the implicit positional encoding when using zero padding in the generators.
no code implementations • 7 Dec 2020 • Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin
Feature reassembly, i. e. feature downsampling and upsampling, is a key operation in a number of modern convolutional network architectures, e. g., residual networks and feature pyramids.
no code implementations • 2 Dec 2020 • Rui Xu, Yong Gao, Lijing Shao
The Standard-Model Extension (SME) is an effective-field-theoretic framework that catalogs all Lorentz-violating field operators.
General Relativity and Quantum Cosmology High Energy Astrophysical Phenomena High Energy Physics - Phenomenology
no code implementations • 23 Oct 2020 • Shuai Shao, Rui Xu, Yan-Jiang Wang, Weifeng Liu, Bao-Di Liu
In this paper, we propose a hypergraph based sparse attention mechanism to tackle this issue and embed it into dictionary learning.
no code implementations • 23 Oct 2020 • Shuai Shao, Mengke Wang, Rui Xu, Yan-Jiang Wang, Bao-Di Liu
To tackle this issue, we propose a Dynamic Label Dictionary Learning (DLDL) algorithm to generate the soft label matrix for unlabeled data.
no code implementations • 16 Oct 2020 • Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Rui Xu, Yen-Wei Chen
We construct a parallel connection structure based on the group convolution and feature aggregation to build a 3D CNN that is as wide as possible with few parameters.
1 code implementation • 28 Sep 2020 • Rui Xu, Minghao Guo, Jiaqi Wang, Xiaoxiao Li, Bolei Zhou, Chen Change Loy
By bringing together the best of both paradigms, we propose a new deep inpainting framework where texture generation is guided by a texture memory of patch samples extracted from unmasked regions.
no code implementations • 8 Sep 2020 • Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang
In the weak form, high order derivatives in the PDE can be transferred to the test functions by performing integration-by-parts, which reduces computational error.
1 code implementation • ECCV 2020 • Le Hui, Rui Xu, Jin Xie, Jianjun Qian, Jian Yang
Starting from the low-resolution point clouds, with the bilateral interpolation and max-pooling operations, the deconvolution network can progressively output high-resolution local and global feature maps.
3 code implementations • NeurIPS 2020 • Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, Rui Xu, Kyle Cranmer, David Spergel, Shirley Ho
The technique works as follows: we first encourage sparse latent representations when we train a GNN in a supervised setting, then we apply symbolic regression to components of the learned model to extract explicit physical relations.
no code implementations • 24 Apr 2020 • Rui Xu, Tiantian Liu, Xinchen Ye, Yen-Wei Chen
Many deep learning based methods have been proposed for retinal vessel segmentation, however few of them focus on the connectivity of segmented vessels, which is quite important for a practical computer-aided diagnosis system on retinal images.
no code implementations • 10 Apr 2020 • Zhi Liu, Jianwei Wang, Yuyu Xu, Mengchen Guo, Kai Mi, Rui Xu, Yang Pei, Qiangkun Zhang, Xiaoting Luan, Zhibin Hu, Xingyin Liu#
The outbreak of COVID-19 caused by SARS-CoV-2 has rapidly spread worldwide and has caused over 1, 400, 000 infections and 80, 000 deaths.
Genomics Biomolecules
1 code implementation • 26 Nov 2019 • Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song
In this paper, we propose a new method, termed as Lip by Speech (LIBS), of which the goal is to strengthen lip reading by learning from speech recognizers.
Ranked #2 on
Lipreading
on CMLR
1 code implementation • CVPR 2020 • Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu, Dahua Lin
Recent advances in adversarial attacks uncover the intrinsic vulnerability of modern deep neural networks.
no code implementations • 12 Sep 2019 • Miles D. Cranmer, Rui Xu, Peter Battaglia, Shirley Ho
We introduce an approach for imposing physically motivated inductive biases on graph networks to learn interpretable representations and improved zero-shot generalization.
no code implementations • 14 Aug 2019 • Ya Zhao, Rui Xu, Mingli Song
When trained on CMLR dataset, the proposed CSSMCM surpasses the performance of state-of-the-art lip reading frameworks, which confirms the effectiveness of explicit modeling of tones for Chinese Mandarin lip reading.
Ranked #3 on
Lipreading
on CMLR
2 code implementations • CVPR 2019 • Rui Xu, Xiaoxiao Li, Bolei Zhou, Chen Change Loy
Then the synthesized flow field is used to guide the propagation of pixels to fill up the missing regions in the video.
Ranked #9 on
Video Inpainting
on DAVIS
One-shot visual object segmentation
Optical Flow Estimation
+2
3 code implementations • ICCV 2019 • Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin
CARAFE introduces little computational overhead and can be readily integrated into modern network architectures.
no code implementations • 17 Apr 2019 • Yan-Jiang Wang, Shuai Shao, Rui Xu, Werifeng Liu, Bao-Di Liu
Dictionary learning methods can be split into: i) class specific dictionary learning ii) class shared dictionary learning.
1 code implementation • 7 Mar 2019 • Shuai Shao, Yan-Jiang Wang, Bao-Di Liu, Weifeng Liu, Rui Xu
Recently, label consistent k-svd (LC-KSVD) algorithm has been successfully applied in image classification.
no code implementations • 19 Oct 2017 • Rui Xu, Yunwen Xu, Weizhong Yan
Power plant is a complex and nonstationary system for which the traditional machine learning modeling approaches fall short of expectations.
no code implementations • 18 Oct 2017 • Yunwen Xu, Rui Xu, Weizhong Yan, Paul Ardis
Data-driven predictive analytics are in use today across a number of industrial applications, but further integration is hindered by the requirement of similarity among model training and test data distributions.
1 code implementation • 18 Aug 2016 • Rui Xu, Matthew W. Kunz
At sub-ion-Larmor scales, we discover an overstability driven by the electron temperature gradient of kinetic-Alfv\'en drift waves -- the electron MTI (eMTI) -- whose growth rate is even larger than the standard MTI.
High Energy Astrophysical Phenomena Plasma Physics