b'Feng Gao'

research

∙ 04/29/2022

FPGA Acceleration of Image Reconstruction for Real-Time Photoacoustic Tomography

Photoacoustic (PA) imaging has been widely applied in both preclinical a...

Zijian Gao, et al. ∙

research

∙ 03/13/2022

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

Benefited from the rapid and sustainable development of synthetic apertu...

Junjie Wang, et al. ∙

research

∙ 02/08/2022

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

Semi-supervised learning (SSL), which aims at leveraging a few labeled i...

Xinkai Zhao, et al. ∙

research

∙ 01/22/2022

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

Synthetic aperture radar (SAR) image change detection is a vital yet cha...

Junjie Wang, et al. ∙

research

∙ 01/22/2022

Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image Classification

In recent years, hyperspectral image (HSI) classification based on gener...

Junjie Wang, et al. ∙

research

∙ 01/22/2022

SAR Image Change Detection Based on Multiscale Capsule Network

Traditional synthetic aperture radar image change detection methods base...

Yunhao Gao, et al. ∙

research

∙ 11/04/2021

Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction

Sea subsurface temperature, an essential component of aquatic wildlife, ...

Yuxin Meng, et al. ∙

research

∙ 09/08/2021

RepNAS: Searching for Efficient Re-parameterizing Blocks

In the past years, significant improvements in the field of neural archi...

Mingyang Zhang, et al. ∙

research

∙ 07/02/2021

Heterogeneous Graph Attention Network for Multi-hop Machine Reading Comprehension

Multi-hop machine reading comprehension is a challenging task in natural...

Feng Gao, et al. ∙

research

∙ 06/11/2021

Learning the Precise Feature for Cluster Assignment

Clustering is one of the fundamental tasks in computer vision and patter...

Yanhai Gan, et al. ∙

research

∙ 05/27/2021

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

Huge computational costs brought by convolution and batch normalization ...

Yukuan Yang, et al. ∙

research

∙ 04/29/2021

Capability Iteration Network for Robot Path Planning

Path planning is an important topic in robotics. Recently, value iterati...

Buqing Nie, et al. ∙

research

∙ 04/14/2021

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

Change detection from synthetic aperture radar (SAR) imagery is a critic...

Xiaofan Qu, et al. ∙

research

∙ 04/07/2021

Deep Transformers for Fast Small Intestine Grounding in Capsule Endoscope Video

Capsule endoscopy is an evolutional technique for examining and diagnosi...

Xinkai Zhao, et al. ∙

research

∙ 04/06/2021

Hyperspectral and LiDAR data classification based on linear self-attention

An efficient linear self-attention fusion model is proposed in this pape...

Min Feng, et al. ∙

research

∙ 04/06/2021

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

Convolutional neural networks (CNN) have made great progress for synthet...

Junjie Wang, et al. ∙

research

∙ 03/29/2021

Remote Sensing Image Translation via Style-Based Recalibration Module and Improved Style Discriminator

Existing remote sensing change detection methods are heavily affected by...

Tiange Zhang, et al. ∙

research

∙ 12/04/2020

Photoacoustic Image Reconstruction Beyond Supervised to Compensate Limit-view and Remove Artifacts

Photoacoustic computed tomography (PACT) reconstructs the initial pressu...

Hengrong Lan, et al. ∙

research

∙ 11/18/2020

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

Learning depth and ego-motion from unlabeled videos via self-supervision...

Feng Gao, et al. ∙

research

∙ 11/12/2020

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

In searching for a generalizable representation of temporally extended t...

Sirui Xie, et al. ∙

research

∙ 08/25/2020

Conceptualized Representation Learning for Chinese Biomedical Text Mining

Biomedical text mining is becoming increasingly important as the number ...

Ningyu Zhang, et al. ∙

research

∙ 08/10/2020

Deep learning for photoacoustic imaging: a survey

Machine learning has been developed dramatically and witnessed a lot of ...

Changchun Yang, et al. ∙

research

∙ 04/20/2020

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

Recent progress in deep learning is essentially based on a "big data for...

Yixin Zhu, et al. ∙

research

∙ 02/09/2020

Short Text Classification via Knowledge powered Attention with Similarity Matrix based CNN

Short text is becoming more and more popular on the web, such as Chat Me...

Mingchen Li, et al. ∙

research

∙ 01/31/2020

A Generative Adversarial Network for AI-Aided Chair Design

We present a method for improving human design of chairs. The goal of th...

Zhibo Liu, et al. ∙

research

∙ 11/29/2019

Learning Perceptual Inference by Contrasting

"Thinking in pictures," [1] i.e., spatial-temporal reasoning, effortless...

Chi Zhang, et al. ∙

research

∙ 11/14/2019

Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms

The scattering transform is a multilayered wavelet-based deep learning a...

Michael Perlmutter, et al. ∙

research

∙ 09/14/2019

Spatiotemporal Attention Networks for Wind Power Forecasting

Wind power is one of the most important renewable energy sources and acc...

Xingbo Fu, et al. ∙

research

∙ 05/24/2019

Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds

The Euclidean scattering transform was introduced nearly a decade ago to...

Michael Perlmutter, et al. ∙

research

∙ 04/02/2019

VRGym: A Virtual Testbed for Physical and Interactive AI

We propose VRGym, a virtual reality testbed for realistic human-robot in...

Xu Xie, et al. ∙

research

∙ 03/07/2019

RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

Dramatic progress has been witnessed in basic vision tasks involving low...

Chi Zhang, et al. ∙

research

∙ 12/05/2018

Research on the Security of Blockchain Data: A Survey

With the more and more extensive application of blockchain, blockchain s...

Liehuang Zhu, et al. ∙

research

∙ 10/07/2018

Graph Classification with Geometric Scattering

One of the most notable contributions of deep learning is the applicatio...

Feng Gao, et al. ∙

research

∙ 03/01/2017

Improving Object Detection with Region Similarity Learning

Object detection aims to identify instances of semantic objects of a cer...

Feng Gao, et al. ∙

research

∙ 03/01/2017

Incorporating Intra-Class Variance to Fine-Grained Visual Recognition

Fine-grained visual recognition aims to capture discriminative character...

Yan Bai, et al. ∙

Feng Gao

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