activity
20152026
most citedExperiments on Parallel Training of Deep Neural Network using Model Averaging

53 citations · 95 across the 10 of their papers we have counts for

collaborators

10 papers

eess.SP2026

Spectral point transformer for significant wave height estimation from sea clutter

Yi Zhou, Li Wang, Hang Su +1

This paper presents a method for estimating significant wave height (Hs) from sparse S_pectral P_oint using a T_ransformer-based approach (SPT). Based on empirical observations tha…

cs.CV2025

EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision

Xiaofeng Mao, Yuefeng Chen, Rong Zhang +3

Deep neural networks (DNNs) has shown great promise in computer vision tasks. However, machine vision achieved by DNNs cannot be as robust as human perception. Adversarial attacks…

cs.CV2023★ 1 cited

A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision

Changjian Chen, Yukai Guo, Fengyuan Tian +7

Existing model evaluation tools mainly focus on evaluating classification models, leaving a gap in evaluating more complex models, such as object detection. In this paper, we devel…

cs.CV2020★ 4 cited

Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning

Xinzheng Zhang, Hang Su, Ce Zhang +3

Small area change detection from synthetic aperture radar (SAR) is a highly challenging task. In this paper, a robust unsupervised approach is proposed for small area change detect…

cs.CV2020★ 3 cited

A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet

Xinzheng Zhang, Hang Su, Ce Zhang +4

In this research, a novel robust change detection approach is presented for imbalanced multi-temporal synthetic aperture radar (SAR) image based on deep learning. Our main contribu…

cs.CV2019★ 7 cited

Biometrics Recognition Using Deep Learning: A Survey

Shervin Minaee, Amirali Abdolrashidi, Hang Su +2

Deep learning-based models have been very successful in achieving state-of-the-art results in many of the computer vision, speech recognition, and natural language processing tasks…