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 • Qi Li, 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, 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 • 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 • 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 • 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.
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.
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 • Feng Gao, Jian-Cheng Ni, Peng Gao, Zi-Li Zhou, Yan-Yan Li, Hamido Fujita
Multi-hop machine reading comprehension is a challenging task in natural language processing, which requires more reasoning ability and explainability.
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 • 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.
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.
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.
no code implementations • 14 Nov 2019 • Michael Perlmutter, 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.