b'Xi Peng'

research

∙ 08/22/2023

Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition

We are concerned with a challenging scenario in unpaired multiview video...

0 Qitong Wang, et al. ∙

research

∙ 08/22/2023

Decoupled Contrastive Multi-view Clustering with High-order Random Walks

In recent, some robust contrastive multi-view clustering (MvC) methods h...

0 Yiding Lu, et al. ∙

research

∙ 08/19/2023

Noisy-Correspondence Learning for Text-to-Image Person Re-identification

Text-to-image person re-identification (TIReID) is a compelling topic in...

0 Yang Qin, et al. ∙

research

∙ 07/26/2023

Topology-aware Robust Optimization for Out-of-distribution Generalization

Out-of-distribution (OOD) generalization is a challenging machine learni...

0 Fengchun Qiao, et al. ∙

research

∙ 07/12/2023

Deep learning-based estimation of whole-body kinematics from multi-view images

It is necessary to analyze the whole-body kinematics (including joint lo...

0 Kien X. Nguyen, et al. ∙

research

∙ 06/14/2023

High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models

We present a novel method that integrates subspace modeling with an adap...

0 Ruiyang Zhao, et al. ∙

research

∙ 06/03/2023

Provable Dynamic Fusion for Low-Quality Multimodal Data

The inherent challenge of multimodal fusion is to precisely capture the ...

0 Qingyang Zhang, et al. ∙

research

∙ 06/02/2023

dugMatting: Decomposed-Uncertainty-Guided Matting

Cutting out an object and estimating its opacity mask, known as image ma...

0 Jiawei Wu, et al. ∙

research

∙ 05/22/2023

Semantic Invariant Multi-view Clustering with Fully Incomplete Information

Robust multi-view learning with incomplete information has received sign...

0 Pengxin Zeng, et al. ∙

research

∙ 04/21/2023

Deep Multiview Clustering by Contrasting Cluster Assignments

Multiview clustering (MVC) aims to reveal the underlying structure of mu...

0 Jie Chen, et al. ∙

research

∙ 01/26/2023

Incomplete Multi-view Clustering via Prototype-based Imputation

In this paper, we study how to achieve two characteristics highly-expect...

0 Haobin Li, et al. ∙

research

∙ 12/08/2022

Relationship Quantification of Image Degradations

In this paper, we study two challenging but less-touched problems in ima...

0 Wenxin Wang, et al. ∙

research

∙ 12/08/2022

Graph Matching with Bi-level Noisy Correspondence

In this paper, we study a novel and widely existing problem in graph mat...

0 Yijie Lin, et al. ∙

research

∙ 10/21/2022

Twin Contrastive Learning for Online Clustering

This paper proposes to perform online clustering by conducting twin cont...

0 Yunfan Li, et al. ∙

research

∙ 09/26/2022

Deep Fair Clustering via Maximizing and Minimizing Mutual Information

Fair clustering aims to divide data into distinct clusters, while preven...

0 Pengxin Zeng, et al. ∙

research

∙ 09/23/2022

Robust Domain Adaptation for Machine Reading Comprehension

Most domain adaptation methods for machine reading comprehension (MRC) u...

0 Liang Jiang, et al. ∙

research

∙ 08/16/2022

FALCON: Sound and Complete Neural Semantic Entailment over ALC Ontologies

Many ontologies, i.e., Description Logic (DL) knowledge bases, have been...

0 Zhenwei Tang, et al. ∙

research

∙ 05/29/2022

TAR: Neural Logical Reasoning across TBox and ABox

Many ontologies, i.e., Description Logic (DL) knowledge bases, have been...

0 Zhenwei Tang, et al. ∙

research

∙ 05/23/2022

OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization

As Deep Neural Networks (DNNs) usually are overparameterized and have mi...

0 Peng Hu, et al. ∙

research

∙ 05/04/2022

Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation

We propose a keypoint-based object-level SLAM framework that can provide...

0 Nathaniel Merrill, et al. ∙

research

∙ 04/12/2022

Are Multimodal Transformers Robust to Missing Modality?

Multimodal data collected from the real world are often imperfect due to...

0 Mengmeng Ma, et al. ∙

research

∙ 03/08/2022

Multi-Scale Adaptive Network for Single Image Denoising

Multi-scale architectures have shown effectiveness in a variety of tasks...

0 Yuanbiao Gou, et al. ∙

research

∙ 02/28/2022

Description Logic EL++ Embeddings with Intersectional Closure

Many ontologies, in particular in the biomedical domain, are based on th...

0 Xi Peng, et al. ∙

research

∙ 12/17/2021

Deep Learning for Spatiotemporal Modeling of Urbanization

Urbanization has a strong impact on the health and wellbeing of populati...

0 Tang Li, et al. ∙

research

∙ 08/16/2021

Understanding the factors driving the opioid epidemic using machine learning

In recent years, the US has experienced an opioid epidemic with an unpre...

3 Sachin Gavali, et al. ∙

research

∙ 08/05/2021

Out-of-domain Generalization from a Single Source: A Uncertainty Quantification Approach

We study a worst-case scenario in generalization: Out-of-domain generali...

0 Xi Peng, et al. ∙

research

∙ 07/14/2021

Unsupervised Neural Rendering for Image Hazing

Image hazing aims to render a hazy image from a given clean one, which c...

0 Boyun Li, et al. ∙

research

∙ 06/28/2021

Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning

Data augmentation is a powerful technique for improving the performance ...

0 Yi Zhang, et al. ∙

research

∙ 04/30/2021

A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Image and video synthesis are closely related areas aiming at generating...

4 Yu Tian, et al. ∙

research

∙ 03/12/2021

Uncertainty-guided Model Generalization to Unseen Domains

We study a worst-case scenario in generalization: Out-of-domain generali...

0 Fengchun Qiao, et al. ∙

research

∙ 03/09/2021

SMIL: Multimodal Learning with Severely Missing Modality

A common assumption in multimodal learning is the completeness of traini...

14 Mengmeng Ma, et al. ∙

research

∙ 12/02/2020

Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization

We introduce a novel representation learning method to disentangle pose-...

7 Long Zhao, et al. ∙

research

∙ 10/15/2020

Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness

Adversarial data augmentation has shown promise for training robust deep...

7 Long Zhao, et al. ∙

research

∙ 09/21/2020

Contrastive Clustering

In this paper, we propose a one-stage online clustering method called Co...

0 Yunfan Li, et al. ∙

research

∙ 08/31/2020

Structured Graph Learning for Clustering and Semi-supervised Classification

Graphs have become increasingly popular in modeling structures and inter...

4 Zhao Kang, et al. ∙

research

∙ 06/30/2020

You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network

In this paper, we study two challenging and less-touched problems in sin...

0 Boyun Li, et al. ∙

research

∙ 04/28/2020

Heterogeneous Representation Learning: A Review

The real-world data usually exhibits heterogeneous properties such as mo...

0 Joey Tianyi Zhou, et al. ∙

research

∙ 04/01/2020

Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge

Cross-modal knowledge distillation deals with transferring knowledge fro...

1 Long Zhao, et al. ∙

research

∙ 03/30/2020

Learning to Learn Single Domain Generalization

We are concerned with a worst-case scenario in model generalization, in ...

4 Fengchun Qiao, et al. ∙

research

∙ 03/13/2020

Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach

Semi-supervised graph embedding methods represented by graph convolution...

40 Qirui Li, et al. ∙

research

∙ 12/05/2019

Deep Anomaly Detection in Packet Payload

With the widespread adoption of cloud services, especially the extensive...

0 Jiaxin Liu, et al. ∙

research

∙ 11/25/2019

Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding

Graph kernels are widely used for measuring the similarity between graph...

0 Lingfei Wu, et al. ∙

research

∙ 11/15/2019

DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction

Distant Supervised Relation Extraction (DSRE) is usually formulated as a...

0 Yanjie Gou, et al. ∙

research

∙ 10/06/2019

Rethinking Kernel Methods for Node Representation Learning on Graphs

Graph kernels are kernel methods measuring graph similarity and serve as...

7 Yu Tian, et al. ∙

research

∙ 07/20/2019

Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention

We propose a Dynamic Graph-Based Spatial-Temporal Attention (DG-STA) met...

1 Yuxiao Chen, et al. ∙

research

∙ 06/04/2019

Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks

The aim of this study is developing an automatic system for detection of...

0 Rahil Mehrizi, et al. ∙

research

∙ 04/06/2019

Semantic Graph Convolutional Networks for 3D Human Pose Regression

In this paper, we study the problem of learning Graph Convolutional Netw...

6 Long Zhao, et al. ∙

research

∙ 03/01/2019

Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning

Zero-shot learning extends the conventional object classification to the...

6 Yizhe Zhu, et al. ∙

research

∙ 08/22/2018

k-meansNet: When k-means Meets Differentiable Programming

In this paper, we study how to make clustering benefiting from different...

0 Xi Peng, et al. ∙

research

∙ 08/20/2018

CU-Net: Coupled U-Nets

We design a new connectivity pattern for the U-Net architecture. Given s...

0 Zhiqiang Tang, et al. ∙

Xi Peng

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