b'Jun Yu'

research

∙ 05/13/2023

Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training

In recent years, the growing demand for medical imaging diagnosis has pl...

0 Ke Zhang, et al. ∙

research

∙ 05/04/2023

ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos

Building benchmarks to systemically analyze different capabilities of vi...

0 Zhou Yu, et al. ∙

research

∙ 04/18/2023

A Comparison of Image Denoising Methods

The advancement of imaging devices and countless images generated everyd...

0 Zhaoming Kong, et al. ∙

research

∙ 04/14/2023

The Second Monocular Depth Estimation Challenge

This paper discusses the results for the second edition of the Monocular...

0 Jaime Spencer, et al. ∙

research

∙ 04/08/2023

SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement

Synthetic Aperture Radar (SAR) to electro-optical (EO) image translation...

0 Jun Yu, et al. ∙

research

∙ 03/28/2023

A reinforced learning approach to optimal design under model uncertainty

Optimal designs are usually model-dependent and likely to be sub-optimal...

0 Mingyao Ai, et al. ∙

research

∙ 03/23/2023

Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization

Robust generalization aims to tackle the most challenging data distribut...

0 Zhuo Huang, et al. ∙

research

∙ 03/16/2023

A Dual Branch Network for Emotional Reaction Intensity Estimation

Emotional Reaction Intensity(ERI) estimation is an important task in mul...

0 Jun Yu, et al. ∙

research

∙ 03/15/2023

Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition

Facial Expression Recognition (FER) is an important task in computer vis...

0 Jun Yu, et al. ∙

research

∙ 03/15/2023

Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection

Human affective behavior analysis plays a vital role in human-computer i...

0 Jun Yu, et al. ∙

research

∙ 03/03/2023

Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering

Knowledge-based visual question answering (VQA) requires external knowle...

0 Zhenwei Shao, et al. ∙

research

∙ 02/27/2023

GLOW: Global Layout Aware Attacks for Object Detection

Adversarial attacks aims to perturb images such that a predictor outputs...

0 Jun Bao, et al. ∙

research

∙ 02/18/2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

The Pretrained Foundation Models (PFMs) are regarded as the foundation f...

0 Ce Zhou, et al. ∙

research

∙ 02/05/2023

ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories

Diffusion models have recently exhibited remarkable abilities to synthes...

0 Zijian Zhang, 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

∙ 11/23/2022

Fast Calibration for Computer Models with Massive Physical Observations

Computer model calibration is a crucial step in building a reliable comp...

0 Shurui Lv, et al. ∙

research

∙ 10/31/2022

Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples

Anomaly detection, which is a critical and popular topic in computer vis...

0 Jianjian Qin, et al. ∙

research

∙ 10/04/2022

Strength-Adaptive Adversarial Training

Adversarial training (AT) is proved to reliably improve network's robust...

0 Chaojian Yu, et al. ∙

research

∙ 09/23/2022

Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis

The assessment of Alzheimer's Disease (AD) and Mild Cognitive Impairment...

0 Jun Yu, et al. ∙

research

∙ 07/04/2022

Learning Disentangled Representations for Controllable Human Motion Prediction

Generative model-based motion prediction techniques have recently realiz...

0 Chunzhi Gu, et al. ∙

research

∙ 06/17/2022

Understanding Robust Overfitting of Adversarial Training and Beyond

Robust overfitting widely exists in adversarial training of deep network...

0 Chaojian Yu, et al. ∙

research

∙ 05/31/2022

An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation

Subsampling methods aim to select a subsample as a surrogate for the obs...

0 Jingyi Zhang, et al. ∙

research

∙ 05/30/2022

Hilbert Curve Projection Distance for Distribution Comparison

Distribution comparison plays a central role in many machine learning ta...

9 Tao Li, et al. ∙

research

∙ 05/26/2022

Efficient Approximation of Gromov-Wasserstein Distance using Importance Sparsification

As a valid metric of metric-measure spaces, Gromov-Wasserstein (GW) dist...

0 Mengyu Li, et al. ∙

research

∙ 05/04/2022

Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object Classification

Multi-modal aerial view object classification (MAVOC) in Automatic targe...

0 Jun Yu, et al. ∙

research

∙ 03/28/2022

Multi-model Ensemble Learning Method for Human Expression Recognition

Analysis of human affect plays a vital role in human-computer interactio...

0 Jun Yu, et al. ∙

research

∙ 03/24/2022

Towards Efficient and Elastic Visual Question Answering with Doubly Slimmable Transformer

Transformer-based approaches have shown great success in visual question...

0 Zhou Yu, et al. ∙

research

∙ 03/14/2022

Statistical learning for train delays and influence of winter climate and atmospheric icing

This study investigated the climate effect under consecutive winters on ...

0 Jianfeng Wang, et al. ∙

research

∙ 02/15/2022

Hyper-relationship Learning Network for Scene Graph Generation

Generating informative scene graphs from images requires integrating and...

4 Yibing Zhan, et al. ∙

research

∙ 01/30/2022

Do We Need to Penalize Variance of Losses for Learning with Label Noise?

Algorithms which minimize the averaged loss have been widely designed fo...

0 Yexiong Lin, et al. ∙

research

∙ 11/21/2021

Structure-Preserving Graph Kernel for Brain Network Classification

This paper presents a novel graph-based kernel learning approach for con...

0 Zhaomin Kong, et al. ∙

research

∙ 10/07/2021

Uncertainty Set Prediction of Aggregated Wind Power Generation based on Bayesian LSTM and Spatio-Temporal Analysis

Aggregated stochastic characteristics of geographically distributed wind...

0 Xiaopeng Li, et al. ∙

research

∙ 09/24/2021

Smoothing splines approximation using Hilbert curve basis selection

Smoothing splines have been used pervasively in nonparametric regression...

0 Cheng Meng, et al. ∙

research

∙ 08/16/2021

ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration

Vision-and-language pretraining (VLP) aims to learn generic multimodal r...

0 Yuhao Cui, et al. ∙

research

∙ 08/04/2021

Train performance analysis using heterogeneous statistical models

This study investigated the effect of harsh winter climate on the perfor...

0 Jianfeng Wang, et al. ∙

research

∙ 07/14/2021

BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised Large-scale Fine-Grained Recognition

Semi-supervised Fine-Grained Recognition is a challenge task due to the ...

0 Hao Chang, et al. ∙

research

∙ 07/10/2021

A Weakly-Supervised Depth Estimation Network Using Attention Mechanism

Monocular depth estimation (MDE) is a fundamental task in many applicati...

0 Fang Gao, et al. ∙

research

∙ 06/27/2021

The Story in Your Eyes: An Individual-difference-aware Model for Cross-person Gaze Estimation

We propose a novel method on refining cross-person gaze prediction task ...

3 Jun Bao, et al. ∙

research

∙ 06/10/2021

Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training

Deep neural networks (DNNs) are vulnerable to adversarial noise. A range...

0 Dawei Zhou, et al. ∙

research

∙ 06/01/2021

Instance Correction for Learning with Open-set Noisy Labels

The problem of open-set noisy labels denotes that part of training data ...

0 Xiaobo Xia, et al. ∙

research

∙ 06/01/2021

Sample Selection with Uncertainty of Losses for Learning with Noisy Labels

In learning with noisy labels, the sample selection approach is very pop...

0 Xiaobo Xia, et al. ∙

research

∙ 05/18/2021

Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching

This paper proposes an approach to Dense Video Captioning (DVC) without ...

0 Bofeng Wu, et al. ∙

research

∙ 04/19/2021

Removing Adversarial Noise in Class Activation Feature Space

Deep neural networks (DNNs) are vulnerable to adversarial noise. Preproc...

0 Dawei Zhou, et al. ∙

research

∙ 03/03/2021

QoS-Driven Resource Optimization for Intelligent Fog Radio Access Network: A Dynamic Power Allocation Perspective

The fog radio access network (Fog-RAN) has been considered a promising w...

0 Jun Yu, et al. ∙

research

∙ 12/25/2020

Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing

Unsupervised cross-modal hashing (UCMH) has become a hot topic recently....

0 Jun Yu, et al. ∙

research

∙ 10/19/2020

Sufficient dimension reduction for classification using principal optimal transport direction

Sufficient dimension reduction is used pervasively as a supervised dimen...

0 Cheng Meng, et al. ∙

research

∙ 10/07/2020

Minimization of the q-ratio sparsity with 1 < q ≤∞ for signal recovery

In this paper, we propose a general scale invariant approach for sparse ...

0 Zhiyong Zhou, et al. ∙

research

∙ 09/25/2020

Adaptive Online Multi-modal Hashing via Hadamard Matrix

Hashing plays an important role in information retrieval, due to its low...

0 Jun Yu, et al. ∙

research

∙ 09/22/2020

Effects of winter climate on high speed passenger trains in Botnia-Atlantica region

Harsh winter climate can cause various problems for both public and priv...

0 Jianfeng Wang, et al. ∙

research

∙ 08/21/2020

Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples

Domain adaptation aims to generalize a model from a source domain to tac...

5 Jinfeng Li, et al. ∙

Jun Yu

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