1 code implementation • 21 Sep 2023 • Haopeng Zhang, Zijing Lin, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li
In this letter, we explore Transformer-like architecture for SAR change detection to incorporate global attention.
no code implementations • 7 Sep 2023 • Lemeng Wang, Wentao Liu, Weijin Xu, Haoyuan Li, Huihua Yang, Feng Gao
Therefore, 2D DSA segmentation methods are unable to capture the complete IA information and treatment of cerebrovascular diseases.
no code implementations • 8 Aug 2023 • HUI ZHANG, Lingxiao Wan, Sergi Ramos-Calderer, Yuancheng Zhan, Wai-Keong Mok, Hong Cai, Feng Gao, Xianshu Luo, Guo-Qiang Lo, Leong Chuan Kwek, José Ignacio Latorre, Ai Qun Liu
In the modern financial industry system, the structure of products has become more and more complex, and the bottleneck constraint of classical computing power has already restricted the development of the financial industry.
no code implementations • 3 Aug 2023 • Xingkun Niu, Feng Gao, Shaojie Hou, Shihao Liu, Xinmin Zhao, Jun Guo, Liping Wang, Feng Zhang
Cell proliferation and migration highly relate to normal tissue self-healing, therefore it is highly significant for artificial controlling.
no code implementations • 25 Jul 2023 • Xinke Li, Peng Ge, Yuting Shen, Feng Gao, Fei Gao
The proposed de-noising method provides potential to improve the SNR of PA signal under single-shot low-power laser illumination for biomedical applications in vivo.
no code implementations • 20 Jul 2023 • Wentao Zhu, Xiaoxuan Ma, Dongwoo Ro, Hai Ci, Jinlu Zhang, Jiaxin Shi, Feng Gao, Qi Tian, Yizhou Wang
In this survey, we present a comprehensive literature review of human motion generation, which, to the best of our knowledge, is the first of its kind in this field.
no code implementations • 17 Jul 2023 • Shangqing Tong, Peng Ge, Yanan Jiao, Zhaofu Ma, Ziye Li, Longhai Liu, Feng Gao, Xiaohui Du, Fei Gao
Colorectal cancer is a deadly disease that has become increasingly prevalent in recent years.
no code implementations • 3 Jul 2023 • Ruoyang Zhao, Feng Gao, Maoyu Li, Xingkun Niu, Shihao Liu, Xinmin Zhao, Liping Wang, Jun Guo, Feng Zhang
Hydrophobic domains provide specific microenvironment for essential functional activities in life.
no code implementations • 27 Jun 2023 • Aoyang Qin, Feng Gao, Qing Li, Song-Chun Zhu, Sirui Xie
The learned model enables \textit{decision-making as inference}: model-free policy execution is equivalent to prior sampling, model-based planning is posterior sampling initialized from the policy.
1 code implementation • 21 Jun 2023 • Wentao Liu, Tong Tian, Lemeng Wang, Weijin Xu, Haoyuan Li, Wenyi Zhao, Xipeng Pan, Huihua Yang, Feng Gao, Yiming Deng, Ruisheng Su
Automatic segmentation of the intracranial artery (IA) in digital subtraction angiography (DSA) sequence is an essential step in diagnosing IA-related diseases and guiding neuro-interventional surgery.
no code implementations • 23 May 2023 • Zi-Yi Dou, Feng Gao, Nanyun Peng
In this paper, we introduce a masked path modeling (MPM) objective, which pretrains an agent using self-collected data for downstream navigation tasks.
no code implementations • 18 May 2023 • Feng Gao, Jiaxu Leng, Gan Ji, Xinbo Gao
However, in crowded pedestrian detection, the performance of DETRs is still unsatisfactory due to the inappropriate sample selection method which results in more false positives.
no code implementations • 22 Apr 2023 • Lin Qi, Xuewen Qin, Feng Gao, Junyu Dong, Xinbo Gao
To this end, we put forward a spatial attention weighted unmixing network, dubbed as SAWU-Net, which learns a spatial attention network and a weighted unmixing network in an end-to-end manner for better spatial feature exploitation.
no code implementations • 19 Apr 2023 • Yuxin Meng, Feng Gao, Eric Rigall, Ran Dong, Junyu Dong, Qian Du
To this end, we introduce a method for SST prediction that transfers physical knowledge from historical observations to numerical models.
1 code implementation • 19 Apr 2023 • Haodong Pan, Feng Gao, Junyu Dong, Qian Du
Two key components contribute to improving the hyperspectral image denoising: A progressively multiscale information aggregation network and a co-attention fusion module.
no code implementations • 22 Feb 2023 • Wei Lou, Xiang Wan, Guanbin Li, Xiaoying Lou, Chenghang Li, Feng Gao, Haofeng Li
Next, we convert a histopathology image into a graph structure with nuclei as nodes, and build a graph neural network to embed the spatial distribution of nuclei into their representations.
no code implementations • 20 Feb 2023 • Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang, Yi Wu
We initiate the study of how to perturb the reward in a zero-sum Markov game with two players to induce a desirable Nash equilibrium, namely arbitrating.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
1 code implementation • 12 Jan 2023 • Ruifei Zhang, Peiwen Lai, Xiang Wan, De-Jun Fan, Feng Gao, Xiao-Jian Wu, Guanbin Li
Automatic and accurate polyp segmentation plays an essential role in early colorectal cancer diagnosis.
no code implementations • 12 Jan 2023 • Siteng Chen, Xiyue Wang, Jun Zhang, Liren Jiang, Ning Zhang, Feng Gao, Wei Yang, Jinxi Xiang, Sen yang, Junhua Zheng, Xiao Han
The OSrisk for the prediction of 5-year survival status achieved AUC of 0. 784 (0. 746-0. 819) in the TCGA cohort, which was further verified in the independent General cohort and the CPTAC cohort, with AUC of 0. 774 (0. 723-0. 820) and 0. 702 (0. 632-0. 765), respectively.
1 code implementation • 9 Jan 2023 • Meng Wang, Feng Gao, Junyu Dong, Heng-Chao Li, Qian Du
It is commonly nontrivial to build a robust self-supervised learning model for multisource data classification, due to the fact that the semantic similarities of neighborhood regions are not exploited in existing contrastive learning framework.
no code implementations • CVPR 2023 • Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang
A key goal for the advancement of AI is to develop technologies that serve the needs not just of one group but of all communities regardless of their geographical region.
no code implementations • 19 Dec 2022 • Peng Gao, Feng Gao, Jian-Cheng Ni
Drug-Drug Interactions (DDIs) prediction is an essential issue in the molecular field.
no code implementations • 25 Nov 2022 • Yuxing Qiu, Feng Gao, Minchen Li, Govind Thattai, Yin Yang, Chenfanfu Jiang
Recent breakthroughs in Vision-Language (V&L) joint research have achieved remarkable results in various text-driven tasks.
no code implementations • 18 Nov 2022 • Tianqu Hu, Zihao Huang, Peng Ge, Feng Gao, Fei Gao
As a burgeoning medical imaging method based on hybrid fusion of light and ultrasound, photoacoustic imaging (PAI) has demonstrated high potential in various biomedical applications recently, especially in revealing the functional and molecular information to improve diagnostic accuracy.
1 code implementation • 14 Nov 2022 • Wei Jiang, Jiayu Yang, Yongqi Zhai, Peirong Ning, Feng Gao, Ronggang Wang
Based on MEM and MEM$^+$, we propose image compression models MLIC and MLIC$^+$.
Ranked #3 on
Image Compression
on kodak
no code implementations • 9 Nov 2022 • Rakesh Vaideeswaran, Feng Gao, Abhinav Mathur, Govind Thattai
Our method generates human-readable textual explanations while maintaining SOTA VQA accuracy on the GQA-REX (77. 49%) and VQA-E (71. 48%) datasets.
1 code implementation • 26 Oct 2022 • Qinyuan Cheng, Linyang Li, Guofeng Quan, Feng Gao, Xiaofeng Mou, Xipeng Qiu
Besides, we introduce a sentence-level and a session-level score to measure the sentence fluency and session coherence in the interactive evaluation.
1 code implementation • Conference 2022 • Jin Li, Zhong Ji, Gang Wang, Qiang Wang, Feng Gao
The goal of General Continual Learning (GCL) is to preserve learned knowledge and learn new knowledge with constant memory from an infinite data stream where task boundaries are blurry.
1 code implementation • 23 Sep 2022 • Chen Liu, Matthew Amodio, Liangbo L. Shen, Feng Gao, Arman Avesta, Sanjay Aneja, Jay C. Wang, Lucian V. Del Priore, Smita Krishnaswamy
In this work we introduce CUTS (Contrastive and Unsupervised Training for Segmentation), a fully unsupervised deep learning framework for medical image segmentation to better utilize the vast majority of imaging data that is not labeled or annotated.
1 code implementation • 9 Aug 2022 • Desen Meng, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li
To this end, we proposed a layer attention-based noise-tolerant network, termed LANTNet.
1 code implementation • JBHI 2022 • Wentao Liu,Huihua Yang, Tong Tian, Zhiwei Cao, Xipeng Pan, Weijin Xu, Yang Jin, Feng Gao
The results demonstrate that FR-UNet outperforms state-of-the-art methods by achieving the highest Sen, AUC, F1, and IOU on most of the above-mentioned datasets with fewer parameters, and that DTI enhances vessel connectivity while greatly improving sensitivity.
Ranked #1 on
Retinal Vessel Segmentation
on DRIVE
no code implementations • 13 Mar 2022 • Junjie Wang, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li
We also propose the distinctive patch convolution for feature representation learning to reduce the time consumption.
no code implementations • 12 Mar 2022 • Lin Qi, Feng Gao, Junyu Dong, Xinbo Gao, Qian Du
Important findings on the use of spatial and spectral information in the autoencoder framework are discussed.
1 code implementation • 8 Feb 2022 • Xinkai Zhao, Chaowei Fang, De-Jun Fan, Xutao Lin, Feng Gao, Guanbin Li
Semi-supervised learning (SSL), which aims at leveraging a few labeled images and a large number of unlabeled images for network training, is beneficial for relieving the burden of data annotation in medical image segmentation.
1 code implementation • 22 Jan 2022 • Junjie Wang, Feng Gao, Junyu Dong, Shan Zhang, Qian Du
Synthetic aperture radar (SAR) image change detection is a vital yet challenging task in the field of remote sensing image analysis.
1 code implementation • 22 Jan 2022 • Junjie Wang, Feng Gao, Junyu Dong, Qian Du
Second, an adaptive DropBlock (AdapDrop) is proposed as a regularization method employed in the generator and discriminator to alleviate the mode collapse issue.
1 code implementation • 22 Jan 2022 • Yunhao Gao, Feng Gao, Junyu Dong, Heng-Chao Li
On the one hand, the multiscale capsule module is employed to exploit the spatial relationship of features.
no code implementations • 14 Jan 2022 • Feng Gao, Qing Ping, Govind Thattai, Aishwarya Reganti, Ying Nian Wu, Prem Natarajan
Outside-knowledge visual question answering (OK-VQA) requires the agent to comprehend the image, make use of relevant knowledge from the entire web, and digest all the information to answer the question.
no code implementations • CVPR 2022 • Feng Gao, Qing Ping, Govind Thattai, Aishwarya Reganti, Ying Nian Wu, Prem Natarajan
Most previous works address the problem by first fusing the image and question in the multi-modal space, which is inflexible for further fusion with a vast amount of external knowledge.
Ranked #12 on
Visual Question Answering (VQA)
on OK-VQA
no code implementations • CVPR 2022 • Chaoqun Wan, Xu Shen, Yonggang Zhang, Zhiheng Yin, Xinmei Tian, Feng Gao, Jianqiang Huang, Xian-Sheng Hua
Taking meta features as reference, we propose compositional operations to eliminate irrelevant features of local convolutional features by an addressing process and then to reformulate the convolutional feature maps as a composition of related meta features.
1 code implementation • 4 Nov 2021 • Yuxin Meng, Eric Rigall, Xueen Chen, Feng Gao, Junyu Dong, Sheng Chen
Physical modeling methods can offer the potential for extrapolation beyond observational conditions, while data-driven methods are flexible in adapting to data and are capable of detecting unexpected patterns.
1 code implementation • 18 Oct 2021 • Yunhao Gao, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li
Moreover, a correlation layer is designed to further explore the correlation between multitemporal images.
no code implementations • 2 Jul 2021 • Peng Gao, Feng Gao, Peng Wang, Jian-Cheng Ni, Fei Wang, Hamido Fujita
Multi-hop machine reading comprehension is a challenging task in natural language processing as it requires more reasoning ability across multiple documents.
1 code implementation • 13 Jun 2021 • Yunhao Gao, Feng Gao, Junyu Dong, Heng-Chao Li
On the one hand, the capsule module is employed to exploit the spatial relationship of features.
1 code implementation • 11 Jun 2021 • Yanhai Gan, Xinghui Dong, Huiyu Zhou, Feng Gao, Junyu Dong
Based on this, we propose a general-purpose deep clustering framework which radically integrates representation learning and clustering into a single pipeline for the first time.
no code implementations • 27 May 2021 • Yukuan Yang, Xiaowei Chi, Lei Deng, Tianyi Yan, Feng Gao, Guoqi Li
In summary, the EOQ framework is specially designed for reducing the high cost of convolution and BN in network training, demonstrating a broad application prospect of online training in resource-limited devices.
no code implementations • 26 May 2021 • Yiyun Wang, Daohuai Jiang, Hengrong Lan, Feng Gao, Fei Gao
Skin blemishes and diseases have attracted increasing research interest in recent decades, due to their growing frequency of occurrence and the severity of related diseases.
1 code implementation • 14 Apr 2021 • Xiaofan Qu, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li
In addition, we further propose a multi-region convolution module, which emphasizes the central region of each patch.
no code implementations • 7 Apr 2021 • Xinkai Zhao, Chaowei Fang, Feng Gao, De-Jun Fan, Xutao Lin, Guanbin Li
In this paper, we propose a deep model to ground shooting range of small intestine from a capsule endoscope video which has duration of tens of hours.
no code implementations • 6 Apr 2021 • Min Feng, Feng Gao, Jian Fang, Junyu Dong
An efficient linear self-attention fusion model is proposed in this paper for the task of hyperspectral image (HSI) and LiDAR data joint classification.
no code implementations • 6 Apr 2021 • Junjie Wang, Feng Gao, Junyu Dong
Convolutional neural networks (CNN) have made great progress for synthetic aperture radar (SAR) images change detection.
no code implementations • 6 Apr 2021 • Wenxia Liu, Feng Gao, Junyu Dong
As the ground objects become increasingly complex, the classification results obtained by single source remote sensing data can hardly meet the application requirements.
no code implementations • 6 Apr 2021 • Yan Gao, Feng Gao, Junyu Dong
Our network consists of the noise estimation subnetwork and denoising subnetwork.
1 code implementation • 29 Mar 2021 • Tiange Zhang, Feng Gao, Junyu Dong, Qian Du
Then, a new style discriminator is designed to improve the translation performance.
no code implementations • ICLR Workshop GTRL 2021 • Feng Gao, Jessica Moore, Bastian Rieck, Valentina Greco, Smita Krishnaswamy
However the function of calcium signaling in epithelial cells is not well understood.
no code implementations • 5 Mar 2021 • Tanvi Upreti, Yuming Wang, Huotian Zhang, Dorothea Scheunemann, Feng Gao, Martijn Kemerink
Charge transport in disordered organic semiconductors occurs by hopping of charge carriers between localized sites that are randomly distributed in a strongly energy dependent density of states.
Materials Science
no code implementations • 18 Jan 2021 • Xin Wang, Juan Liu, Feng Gao, Zhizhen Zhang
The fault surface morphology is the direct result of the microscopic processes near the crack tip or on the frictional interface.
Geophysics
no code implementations • 24 Dec 2020 • Jiadong Zhang, Tengbo Lyu, Changchun Yang, Yimeng Yang, Shanshan Guo, Feng Gao, Fei Gao
However, it is still in a developing stage, and a lot of experiments have to be performed in a simulation setting.
Medical Physics
no code implementations • 18 Nov 2020 • Feng Gao, Jincheng Yu, Hao Shen, Yu Wang, Huazhong Yang
Learning depth and ego-motion from unlabeled videos via self-supervision from epipolar projection can improve the robustness and accuracy of the 3D perception and localization of vision-based robots.
no code implementations • 12 Nov 2020 • Sirui Xie, Feng Gao, Song-Chun Zhu
Seeing that the proposed generalization problem has not been widely studied yet, we carefully define an evaluation protocol, with which we illustrate the effectiveness of MEIP on two proof-of-concept domains and one challenging task: learning to fold from demonstrations.
1 code implementation • 25 Aug 2020 • Ningyu Zhang, Qianghuai Jia, Kangping Yin, Liang Dong, Feng Gao, Nengwei Hua
In this paper, we investigate how the recently introduced pre-trained language model BERT can be adapted for Chinese biomedical corpora and propose a novel conceptualized representation learning approach.
1 code implementation • 10 Aug 2020 • Changchun Yang, Hengrong Lan, Feng Gao, Fei Gao
In this review, we performed an overview of some new developments and challenges in the application of machine learning to medical image analysis, with a special focus on deep learning in photoacoustic imaging.
no code implementations • 20 Apr 2020 • Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu
We demonstrate the power of this perspective to develop cognitive AI systems with humanlike common sense by showing how to observe and apply FPICU with little training data to solve a wide range of challenging tasks, including tool use, planning, utility inference, and social learning.
no code implementations • 26 Feb 2020 • Xingbo Fu, Feng Gao, Jiang Wu
In this paper, we propose an actor-critic method - Attention-based Twin Delayed Deep Deterministic policy gradient (ATD3) algorithm to approximate a driver' s action according to observations and measure the driver' s attention allocation for consecutive time steps in car-following model.
no code implementations • 9 Feb 2020 • Mingchen Li, Gabtone. Clinton, Yijia Miao, Feng Gao
Short text is becoming more and more popular on the web, such as Chat Message, SMS and Product Reviews.
no code implementations • 31 Jan 2020 • Zhibo Liu, Feng Gao, Yizhou Wang
We present a method for improving human design of chairs.
no code implementations • 21 Jan 2020 • Hengrong Lan, Daohuai Jiang, Feng Gao, Fei Gao
In this work, we develop a novel PACT system to provide real-time imaging, which is achieved by a 120-elements ultrasound array only using a single data acquisition (DAQ) channel.
1 code implementation • NeurIPS 2019 • Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
"Thinking in pictures," [1] i. e., spatial-temporal reasoning, effortless and instantaneous for humans, is believed to be a significant ability to perform logical induction and a crucial factor in the intellectual history of technology development.
1 code implementation • 14 Nov 2019 • Michael Perlmutter, Alexander Tong, Feng Gao, Guy Wolf, Matthew Hirn
As a result, the proposed construction unifies and extends known theoretical results for many of the existing graph scattering architectures.
1 code implementation • 14 Sep 2019 • Xingbo Fu, Feng Gao, Jiang Wu, Xinyu Wei, Fangwei Duan
This model captures spatial correlations among wind farms and temporal dependencies of wind power time series.
no code implementations • 24 May 2019 • Michael Perlmutter, Feng Gao, Guy Wolf, Matthew Hirn
The Euclidean scattering transform was introduced nearly a decade ago to improve the mathematical understanding of convolutional neural networks.
no code implementations • ICLR 2019 • Feng Gao, Guy Wolf, Matthew Hirn
Furthermore, ConvNets inspired recent advances in geometric deep learning, which aim to generalize these networks to graph data by applying notions from graph signal processing to learn deep graph filter cascades.
no code implementations • CVPR 2019 • Chi Zhang, Feng Gao, Baoxiong Jia, Yixin Zhu, Song-Chun Zhu
In this work, we propose a new dataset, built in the context of Raven's Progressive Matrices (RPM) and aimed at lifting machine intelligence by associating vision with structural, relational, and analogical reasoning in a hierarchical representation.
no code implementations • 29 Jan 2019 • Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Kunlin Cao, Qi Song, Shaoting Zhang, Siwei Lyu, Youbing Yin
In order to address these limitations, we present tree-structured ConvLSTM models for tree-structured image analysis tasks which can be trained end-to-end.
no code implementations • 21 Dec 2018 • Eric Wu, Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Shaoting Zhang, Kunlin Cao, Qi Song, Siwei Lyu, Youbing Yin
The hierarchical attention components of the residual attention subnet force our network to focus on the key components of the X-ray images and generate the final predictions as well as the associated visual supports, which is similar to the assessment procedure of clinicians.
no code implementations • ICLR 2019 • Feng Gao, Guy Wolf, Matthew Hirn
We explore the generalization of scattering transforms from traditional (e. g., image or audio) signals to graph data, analogous to the generalization of ConvNets in geometric deep learning, and the utility of extracted graph features in graph data analysis.
no code implementations • 1 Mar 2017 • Yan Bai, Feng Gao, Yihang Lou, Shiqi Wang, Tiejun Huang, Ling-Yu Duan
In this paper, we propose to leverage intra-class variance in metric learning of triplet network to improve the performance of fine-grained recognition.
no code implementations • 1 Mar 2017 • Feng Gao, Yihang Lou, Yan Bai, Shiqi Wang, Tiejun Huang, Ling-Yu Duan
Object detection aims to identify instances of semantic objects of a certain class in images or videos.