b'Feng Gao'

research

∙ 09/21/2023

Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection

Synthetic aperture radar (SAR) image change detection is a critical task...

0 Haopeng Zhang, et al. ∙

research

∙ 09/07/2023

TSI-Net: A Timing Sequence Image Segmentation Network for Intracranial Artery Segmentation in Digital Subtraction Angiography

Cerebrovascular disease is one of the major diseases facing the world to...

0 Lemeng Wang, et al. ∙

research

∙ 08/08/2023

Efficient option pricing with unary-based photonic computing chip and generative adversarial learning

In the modern financial industry system, the structure of products has b...

0 Hui Zhang, et al. ∙

research

∙ 07/20/2023

Human Motion Generation: A Survey

Human motion generation aims to generate natural human pose sequences an...

0 Wentao Zhu, et al. ∙

research

∙ 07/17/2023

Machine-Learning-based Colorectal Tissue Classification via Acoustic Resolution Photoacoustic Microscopy

Colorectal cancer is a deadly disease that has become increasingly preva...

0 Shangqing Tong, et al. ∙

research

∙ 06/27/2023

Learning non-Markovian Decision-Making from State-only Sequences

Conventional imitation learning assumes access to the actions of demonst...

0 Aoyang Qin, et al. ∙

research

∙ 06/21/2023

DIAS: A Comprehensive Benchmark for DSA-sequence Intracranial Artery Segmentation

Automatic segmentation of the intracranial artery (IA) in digital subtra...

0 Wentao Liu, et al. ∙

research

∙ 05/23/2023

Masked Path Modeling for Vision-and-Language Navigation

Vision-and-language navigation (VLN) agents are trained to navigate in r...

0 Zi-Yi Dou, et al. ∙

research

∙ 05/18/2023

Selecting Learnable Training Samples is All DETRs Need in Crowded Pedestrian Detection

DEtection TRansformer (DETR) and its variants (DETRs) achieved impressiv...

0 Feng Gao, et al. ∙

research

∙ 04/22/2023

SAWU-Net: Spatial Attention Weighted Unmixing Network for Hyperspectral Images

Hyperspectral unmixing is a critical yet challenging task in hyperspectr...

0 Lin Qi, et al. ∙

research

∙ 04/19/2023

Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction

Traditionally, numerical models have been deployed in oceanography studi...

0 Yuxin Meng, et al. ∙

research

∙ 04/19/2023

Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising

Removing the noise and improving the visual quality of hyperspectral ima...

0 Haodong Pan, et al. ∙

research

∙ 02/22/2023

Structure Embedded Nucleus Classification for Histopathology Images

Nuclei classification provides valuable information for histopathology i...

0 Wei Lou, et al. ∙

research

∙ 02/20/2023

Differentiable Arbitrating in Zero-sum Markov Games

We initiate the study of how to perturb the reward in a zero-sum Markov ...

0 Jing Wang, et al. ∙

research

∙ 01/12/2023

Lesion-aware Dynamic Kernel for Polyp Segmentation

Automatic and accurate polyp segmentation plays an essential role in ear...

0 Ruifei Zhang, et al. ∙

research

∙ 01/09/2023

Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification

The joint hyperspectral image (HSI) and LiDAR data classification aims t...

0 Meng Wang, et al. ∙

research

∙ 01/05/2023

GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods

A key goal for the advancement of AI is to develop technologies that ser...

0 Da Yin, et al. ∙

research

∙ 12/19/2022

An Efficient Drug-Drug Interactions Prediction Technology for Molecularly Intelligent Manufacturing

Drug-Drug Interactions (DDIs) prediction is an essential issue in the mo...

0 Peng Gao, et al. ∙

research

∙ 11/25/2022

TPA-Net: Generate A Dataset for Text to Physics-based Animation

Recent breakthroughs in Vision-Language (V L) joint research have achi...

0 Yuxing Qiu, et al. ∙

research

∙ 11/09/2022

Towards Reasoning-Aware Explainable VQA

The domain of joint vision-language understanding, especially in the con...

0 Rakesh Vaideeswaran, et al. ∙

research

∙ 10/26/2022

Is MultiWOZ a Solved Task? An Interactive TOD Evaluation Framework with User Simulator

Task-Oriented Dialogue (TOD) systems are drawing more and more attention...

0 Qinyuan Cheng, et al. ∙

research

∙ 09/23/2022

CUTS: A Fully Unsupervised Framework for Medical Image Segmentation

In this work we introduce CUTS (Contrastive and Unsupervised Training fo...

21 Matthew Amodio, et al. ∙

research

∙ 08/09/2022

Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network

Recently, change detection methods for synthetic aperture radar (SAR) im...

3 Desen Meng, et al. ∙

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...

0 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...

6 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...

15 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...

4 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...

5 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...

13 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, ...

0 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...

16 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...

0 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...

11 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 ...

0 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...

0 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...

0 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...

0 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...

3 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...

0 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...

0 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...

0 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...

0 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...

0 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 ...

0 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 ...

44 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...

10 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...

0 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...

5 Zhibo Liu, et al. ∙

research

∙ 11/29/2019

Learning Perceptual Inference by Contrasting

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

0 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...

0 Michael Perlmutter, et al. ∙

Feng Gao

Featured Co-authors