b'Dong Huang'

research

∙ 08/20/2023

Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos

Multi-person 3D mesh recovery from videos is a critical first step towar...

0 Haoyuan Li, et al. ∙

research

∙ 08/17/2023

CodeCoT and Beyond: Learning to Program and Test like a Developer

In natural language processing, transformer-based large language models ...

0 Dong Huang, et al. ∙

research

∙ 07/21/2023

FMT: Removing Backdoor Feature Maps via Feature Map Testing in Deep Neural Networks

Deep neural networks have been widely used in many critical applications...

0 Dong Huang, et al. ∙

research

∙ 07/21/2023

Feature Map Testing for Deep Neural Networks

Due to the widespread application of deep neural networks (DNNs) in safe...

0 Dong Huang, et al. ∙

research

∙ 07/20/2023

Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing

Deep Neural Networks (DNNs) have been widely deployed in software to add...

0 Dong Huang, et al. ∙

research

∙ 07/19/2023

Towards Building More Robust Models with Frequency Bias

The vulnerability of deep neural networks to adversarial samples has bee...

0 Qingwen Bu, et al. ∙

research

∙ 05/12/2023

One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering

The bipartite graph structure has shown its promising ability in facilit...

0 Si-Guo Fang, et al. ∙

research

∙ 01/11/2023

Heterogeneous Tri-stream Clustering Network

Contrastive deep clustering has recently gained significant attention wi...

0 Xiaozhi Deng, et al. ∙

research

∙ 12/31/2022

DensePose From WiFi

Advances in computer vision and machine learning techniques have led to ...

0 Jiaqi Geng, et al. ∙

research

∙ 12/29/2022

Deep Temporal Contrastive Clustering

Recently the deep learning has shown its advantage in representation lea...

0 Ying Zhong, et al. ∙

research

∙ 09/09/2022

Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning

Although previous graph-based multi-view clustering algorithms have gain...

0 Si-Guo Fang, et al. ∙

research

∙ 08/25/2022

Adaptively-weighted Integral Space for Fast Multiview Clustering

Multiview clustering has been extensively studied to take advantage of m...

0 Man-Sheng Chen, et al. ∙

research

∙ 08/17/2022

Two Heads are Better than One: Robust Learning Meets Multi-branch Models

Deep neural networks (DNNs) are vulnerable to adversarial examples, in w...

0 Dong Huang, et al. ∙

research

∙ 07/14/2022

Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks

Deep clustering has recently attracted significant attention. Despite th...

0 Yuanku Xu, et al. ∙

research

∙ 06/26/2022

Vision Transformer for Contrastive Clustering

Vision Transformer (ViT) has shown its advantages over the convolutional...

0 Hua-Bao Ling, et al. ∙

research

∙ 06/01/2022

Strongly Augmented Contrastive Clustering

Deep clustering has attracted increasing attention in recent years due t...

0 Xiaozhi Deng, et al. ∙

research

∙ 06/01/2022

DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks

Deep clustering has recently emerged as a promising technique for comple...

0 Dong Huang, et al. ∙

research

∙ 04/18/2022

Joint Multi-view Unsupervised Feature Selection and Graph Learning

Despite the recent progress, the existing multi-view unsupervised featur...

0 Si-Guo Fang, et al. ∙

research

∙ 04/09/2022

The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization

Training with an emphasis on "hard-to-learn" components of the data has ...

4 Zeyi Huang, et al. ∙

research

∙ 03/22/2022

Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity

Despite significant progress, there remain three limitations to the prev...

0 Dong Huang, et al. ∙

research

∙ 03/15/2022

Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering

Multi-view subspace clustering aims to discover the hidden subspace stru...

0 Xiaosha Cai, et al. ∙

research

∙ 12/09/2021

You Can Wash Better: Daily Handwashing Assessment with Smartwatches

We propose UWash, an intelligent solution upon smartwatches, to assess h...

0 Fei Wang, et al. ∙

research

∙ 11/29/2021

Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation

The nonuniform quantization strategy for compressing neural networks usu...

11 Zechun Liu, et al. ∙

research

∙ 08/05/2021

Elaborative Rehearsal for Zero-shot Action Recognition

The growing number of action classes has posed a new challenge for video...

0 Shizhe Chen, et al. ∙

research

∙ 07/02/2021

Polarized Self-Attention: Towards High-quality Pixel-wise Regression

Pixel-wise regression is probably the most common problem in fine-graine...

0 Huajun Liu, et al. ∙

research

∙ 06/21/2021

How Do Adam and Training Strategies Help BNNs Optimization?

The best performing Binary Neural Networks (BNNs) are usually attained u...

1 Zechun Liu, et al. ∙

research

∙ 10/22/2020

Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection

Weakly Supervised Object Detection (WSOD) has emerged as an effective to...

0 Zeyi Huang, et al. ∙

research

∙ 09/17/2020

Large Norms of CNN Layers Do Not Hurt Adversarial Robustness

Since the Lipschitz properties of convolutional neural network (CNN) are...

15 Youwei Liang, et al. ∙

research

∙ 08/24/2020

Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency

Graph learning has emerged as a promising technique for multi-view clust...

8 Youwei Liang, et al. ∙

research

∙ 07/05/2020

Self-Challenging Improves Cross-Domain Generalization

Convolutional Neural Networks (CNN) conduct image classification by acti...

0 Zeyi Huang, et al. ∙

research

∙ 01/30/2020

Multiple Object Tracking by Flowing and Fusing

Most of Multiple Object Tracking (MOT) approaches compute individual tar...

43 Jimuyang Zhang, et al. ∙

research

∙ 12/04/2019

Multiple Anchor Learning for Visual Object Detection

Classification and localization are two pillars of visual object detecto...

0 Wei Ke, et al. ∙

research

∙ 05/06/2019

Frame-wise Motion and Appearance for Real-time Multiple Object Tracking

The main challenge of Multiple Object Tracking (MOT) is the efficiency i...

0 Jimuyang Zhang, et al. ∙

research

∙ 04/19/2019

Temporal Unet: Sample Level Human Action Recognition using WiFi

Human doing actions will result in WiFi distortion, which is widely expl...

0 Fei Wang, et al. ∙

research

∙ 03/30/2019

Can WiFi Estimate Person Pose?

WiFi human sensing has achieved great progress in indoor localization, a...

0 Fei Wang, et al. ∙

research

∙ 03/30/2019

Person-in-WiFi: Fine-grained Person Perception using WiFi

Fine-grained person perception such as body segmentation and pose estima...

28 Fei Wang, et al. ∙

research

∙ 03/29/2019

SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection

Deep convolutional neural network significantly boosted the capability o...

10 Sanping Zhou, et al. ∙

research

∙ 03/28/2019

Improving Object Detection with Inverted Attention

Improving object detectors against occlusion, blur and noise is a critic...

0 Zeyi Huang, et al. ∙

research

∙ 03/04/2019

Ultra-Scalable Spectral Clustering and Ensemble Clustering

This paper focuses on scalability and robustness of spectral clustering ...

0 Dong Huang, et al. ∙

research

∙ 10/30/2018

Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities

Ensemble clustering has been a popular research topic in data mining and...

0 Dong Huang, et al. ∙

research

∙ 10/07/2018

CSI-Net: Unified Human Body Characterization and Action Recognition

Channel State Information (CSI) of WiFi signals becomes increasingly att...

2 Fei Wang, et al. ∙

research

∙ 10/06/2018

WiPIN: Operation-free Person Identification using WiFi Signals

Person identification is critical for sensitive applications such as sys...

0 Fei Wang, et al. ∙

research

∙ 07/31/2018

Cutting Down Training Memory by Re-fowarding

Deep Neutral Networks(DNN) require huge GPU memory when training on mode...

0 Jianwei Feng, et al. ∙

research

∙ 10/09/2017

Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data

The emergence of high-dimensional data in various areas has brought new ...

0 Dong Huang, et al. ∙

research

∙ 06/03/2016

Robust Ensemble Clustering Using Probability Trajectories

Although many successful ensemble clustering approaches have been develo...

0 Dong Huang, et al. ∙

research

∙ 05/06/2014

Combining Multiple Clusterings via Crowd Agreement Estimation and Multi-Granularity Link Analysis

The clustering ensemble technique aims to combine multiple clusterings i...

0 Dong Huang, et al. ∙

Dong Huang

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