Search Results for author: Feng Gao

Found 47 papers, 14 papers with code

Change Detection from Synthetic Aperture Radar Images via Dual Path Denoising Network

no code implementations13 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.

Change Detection Denoising +1

SSCU-Net: Spatial-Spectral Collaborative Unmixing Network for Hyperspectral Images

no code implementations12 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.

Hyperspectral Unmixing

Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation

1 code implementation8 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.

Contrastive Learning Lesion Segmentation +3

Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image Classification

1 code implementation22 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.

Classification Hyperspectral Image Classification

Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network

1 code implementation22 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.

Change Detection

SAR Image Change Detection Based on Multiscale Capsule Network

1 code implementation22 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.

Change Detection

A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering

no code implementations14 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.

Generative Question Answering Passage Retrieval +1

Meta Convolutional Neural Networks for Single Domain Generalization

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.

Domain Generalization

Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering

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.

Generative Question Answering Passage Retrieval +1

Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction

1 code implementation4 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.

Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network

1 code implementation18 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.

Change Detection

Heterogeneous Graph Attention Network for Multi-hop Machine Reading Comprehension

no code implementations2 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.

Graph Attention Machine Reading Comprehension +1

SAR Image Change Detection Based on Multiscale Capsule Network

1 code implementation13 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.

Change Detection

Learning the Precise Feature for Cluster Assignment

1 code implementation11 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.

Deep Clustering Face Recognition +3

Towards Efficient Full 8-bit Integer DNN Online Training on Resource-limited Devices without Batch Normalization

no code implementations27 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.

Model Compression Quantization

Photoacoustic-monitored laser treatment for tattoo removal: a feasibility study

no code implementations26 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.

Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network

1 code implementation14 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.

Change Detection

Deep Transformers for Fast Small Intestine Grounding in Capsule Endoscope Video

no code implementations7 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.

Hyperspectral and LiDAR data classification based on linear self-attention

no code implementations6 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.

Classification General Classification

Disentangled Non-Local Network for Hyperspectral and LiDAR Data Classification

no code implementations6 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.

Classification General Classification

Change Detection from SAR Images Based on Deformable Residual Convolutional Neural Networks

no code implementations6 Apr 2021 Junjie Wang, Feng Gao, Junyu Dong

Convolutional neural networks (CNN) have made great progress for synthetic aperture radar (SAR) images change detection.

Change Detection

Experimentally Validated Hopping-Transport Model for Energetically Disordered Organic Semiconductors

no code implementations5 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

The dynamic energy balance in earthquakes expressed by fault surface morphology

no code implementations18 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.


Superposed Wave (s-Wave): Accelerating Photoacoustic Simulation

no code implementations24 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

Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes

no code implementations18 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.

Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation

no code implementations12 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.

Conceptualized Representation Learning for Chinese Biomedical Text Mining

1 code implementation25 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.

Language Modelling Representation Learning

Deep learning for photoacoustic imaging: a survey

1 code implementation10 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.

Image Reconstruction Machine Learning +2

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

no code implementations20 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.

Common Sense Reasoning Small Data Image Classification

When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning

no code implementations26 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.


Deep Learning Enabled Real-Time Photoacoustic Tomography System via Single Data Acquisition Channel

no code implementations21 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.

Learning Perceptual Inference by Contrasting

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.

Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms

no code implementations14 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.

Spatiotemporal Attention Networks for Wind Power Forecasting

1 code implementation14 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.

Time Series

Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds

no code implementations24 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.


Graph Classification with Geometric Scattering

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.

Classification General Classification +2

RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

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.

Object Recognition Question Answering +2

Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding

no code implementations29 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.

Residual Attention based Network for Hand Bone Age Assessment

no code implementations21 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.

Hand Segmentation

Geometric Scattering for Graph Data Analysis

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.

General Classification Graph Classification +1

Incorporating Intra-Class Variance to Fine-Grained Visual Recognition

no code implementations1 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.

Fine-Grained Visual Recognition Metric Learning

Improving Object Detection with Region Similarity Learning

no code implementations1 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.

Multi-Task Learning object-detection +1

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