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...
share
research
∙
08/17/2023
CodeCoT and Beyond: Learning to Program and Test like a Developer
In natural language processing, transformer-based large language models ...
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...
research
∙
07/21/2023
Feature Map Testing for Deep Neural Networks
Due to the widespread application of deep neural networks (DNNs) in safe...
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...
research
∙
07/19/2023
Towards Building More Robust Models with Frequency Bias
The vulnerability of deep neural networks to adversarial samples has bee...
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...
research
∙
01/11/2023
Heterogeneous Tri-stream Clustering Network
Contrastive deep clustering has recently gained significant attention wi...
research
∙
12/31/2022
DensePose From WiFi
Advances in computer vision and machine learning techniques have led to ...
research
∙
12/29/2022
Deep Temporal Contrastive Clustering
Recently the deep learning has shown its advantage in representation lea...
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...
research
∙
08/25/2022
Adaptively-weighted Integral Space for Fast Multiview Clustering
Multiview clustering has been extensively studied to take advantage of m...
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...
research
∙
07/14/2022
Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks
Deep clustering has recently attracted significant attention. Despite th...
research
∙
06/26/2022
Vision Transformer for Contrastive Clustering
Vision Transformer (ViT) has shown its advantages over the convolutional...
research
∙
06/01/2022
Strongly Augmented Contrastive Clustering
Deep clustering has attracted increasing attention in recent years due t...
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...
research
∙
04/18/2022
Joint Multi-view Unsupervised Feature Selection and Graph Learning
Despite the recent progress, the existing multi-view unsupervised featur...
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 ...
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...
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...
research
∙
12/09/2021
You Can Wash Better: Daily Handwashing Assessment with Smartwatches
We propose UWash, an intelligent solution upon smartwatches, to assess h...
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...
research
∙
08/05/2021
Elaborative Rehearsal for Zero-shot Action Recognition
The growing number of action classes has posed a new challenge for video...
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...
research
∙
06/21/2021
How Do Adam and Training Strategies Help BNNs Optimization?
The best performing Binary Neural Networks (BNNs) are usually attained u...
research
∙
10/22/2020
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Weakly Supervised Object Detection (WSOD) has emerged as an effective to...
research
∙
09/17/2020
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness
Since the Lipschitz properties of convolutional neural network (CNN) are...
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...
research
∙
07/05/2020
Self-Challenging Improves Cross-Domain Generalization
Convolutional Neural Networks (CNN) conduct image classification by acti...
research
∙
01/30/2020
Multiple Object Tracking by Flowing and Fusing
Most of Multiple Object Tracking (MOT) approaches compute individual tar...
research
∙
12/04/2019
Multiple Anchor Learning for Visual Object Detection
Classification and localization are two pillars of visual object detecto...
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...
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...
research
∙
03/30/2019
Can WiFi Estimate Person Pose?
WiFi human sensing has achieved great progress in indoor localization, a...
research
∙
03/30/2019
Person-in-WiFi: Fine-grained Person Perception using WiFi
Fine-grained person perception such as body segmentation and pose estima...
research
∙
03/29/2019
SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection
Deep convolutional neural network significantly boosted the capability o...
research
∙
03/28/2019
Improving Object Detection with Inverted Attention
Improving object detectors against occlusion, blur and noise is a critic...
research
∙
03/04/2019
Ultra-Scalable Spectral Clustering and Ensemble Clustering
This paper focuses on scalability and robustness of spectral clustering ...
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...
research
∙
10/07/2018
CSI-Net: Unified Human Body Characterization and Action Recognition
Channel State Information (CSI) of WiFi signals becomes increasingly att...
research
∙
10/06/2018
WiPIN: Operation-free Person Identification using WiFi Signals
Person identification is critical for sensitive applications such as sys...
research
∙
07/31/2018
Cutting Down Training Memory by Re-fowarding
Deep Neutral Networks(DNN) require huge GPU memory when training on mode...
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 ...
research
∙
06/03/2016
Robust Ensemble Clustering Using Probability Trajectories
Although many successful ensemble clustering approaches have been develo...
research
∙
05/06/2014
