b'Xiaoyu Wang'

research

∙ 05/14/2023

Path Planning for Air-Ground Robot Considering Modal Switching Point Optimization

An innovative sort of mobility platform that can both drive and fly is t...

0 Xiaoyu Wang, et al. ∙

research

∙ 05/01/2023

Boosting Weakly-Supervised Temporal Action Localization with Text Information

Due to the lack of temporal annotation, current Weakly-supervised Tempor...

0 Guozhang Li, et al. ∙

research

∙ 03/01/2023

A Lifted Bregman Formulation for the Inversion of Deep Neural Networks

We propose a novel framework for the regularised inversion of deep neura...

0 Xiaoyu Wang, et al. ∙

research

∙ 01/28/2023

Few-shot Face Image Translation via GAN Prior Distillation

Face image translation has made notable progress in recent years. Howeve...

0 Ruoyu Zhao, et al. ∙

research

∙ 12/19/2022

Million-scale Object Detection with Large Vision Model

Over the past few years, developing a broad, universal, and general-purp...

0 Feng Lin, et al. ∙

research

∙ 12/08/2022

All-to-key Attention for Arbitrary Style Transfer

Attention-based arbitrary style transfer studies have shown promising pe...

0 Mingrui Zhu, et al. ∙

research

∙ 11/27/2022

Deep Active Learning for Computer Vision: Past and Future

As an important data selection schema, active learning emerges as the es...

0 Rinyoichi Takezoe, et al. ∙

research

∙ 11/26/2022

A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control

Recent years have witnessed substantial growth in adaptive traffic signa...

0 Xiaoyu Wang, et al. ∙

research

∙ 11/18/2022

Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics

Building on a strong foundation of philosophy, theory, methods and compu...

0 Joshua J Bon, et al. ∙

research

∙ 11/15/2022

NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction

With the wide and deep adoption of deep learning models in real applicat...

0 Yun Yi, et al. ∙

research

∙ 11/14/2022

CabViT: Cross Attention among Blocks for Vision Transformer

Since the vision transformer (ViT) has achieved impressive performance i...

0 Haokui Zhang, et al. ∙

research

∙ 11/14/2022

ParCNetV2: Oversized Kernel with Enhanced Attention

Transformers have achieved tremendous success in various computer vision...

0 Ruihan Xu, et al. ∙

research

∙ 10/30/2022

A Multi-modal Deformable Land-air Robot for Complex Environments

Single locomotion robots often struggle to adapt in highly variable or u...

0 Xinyu Zhang, et al. ∙

research

∙ 10/08/2022

Fast-ParC: Position Aware Global Kernel for ConvNets and ViTs

Transformer models have made tremendous progress in various fields in re...

0 Tao Yang, et al. ∙

research

∙ 10/06/2022

Predictive Edge Caching through Deep Mining of Sequential Patterns in User Content Retrievals

Edge caching plays an increasingly important role in boosting user conte...

0 Chen Li, et al. ∙

research

∙ 08/18/2022

Lifted Bregman Training of Neural Networks

We introduce a novel mathematical formulation for the training of feed-f...

11 Xiaoyu Wang, et al. ∙

research

∙ 07/27/2022

ALBench: A Framework for Evaluating Active Learning in Object Detection

Active learning is an important technology for automated machine learnin...

1 Zhanpeng Feng, et al. ∙

research

∙ 07/25/2022

Improving Adversarial Robustness via Mutual Information Estimation

Deep neural networks (DNNs) are found to be vulnerable to adversarial no...

0 Dawei Zhou, et al. ∙

research

∙ 07/04/2022

Multi-Modal Multi-Correlation Learning for Audio-Visual Speech Separation

In this paper we propose a multi-modal multi-correlation learning framew...

0 Xiaoyu Wang, et al. ∙

research

∙ 05/22/2022

Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce

In e-commerce, the salience of commonsense knowledge (CSK) is beneficial...

0 Yincen Qu, et al. ∙

research

∙ 03/26/2022

Implementation of an Automated Learning System for Non-experts

Automated machine learning systems for non-experts could be critical for...

0 Phoenix X. Huang, et al. ∙

research

∙ 03/23/2022

Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin

Only parts of unlabeled data are selected to train models for most semi-...

0 Hangyu Li, et al. ∙

research

∙ 03/21/2022

FaceMap: Towards Unsupervised Face Clustering via Map Equation

Face clustering is an essential task in computer vision due to the explo...

0 Xiaotian Yu, et al. ∙

research

∙ 03/08/2022

EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers

Recently, vision transformers started to show impressive results which o...

13 Haokui Zhang, et al. ∙

research

∙ 03/04/2022

Semi-parametric Makeup Transfer via Semantic-aware Correspondence

The large discrepancy between the source non-makeup image and the refere...

0 Mingrui Zhu, et al. ∙

research

∙ 01/25/2022

On Uniform Boundedness Properties of SGD and its Momentum Variants

A theoretical, and potentially also practical, problem with stochastic g...

0 Xiaoyu Wang, et al. ∙

research

∙ 11/19/2021

YMIR: A Rapid Data-centric Development Platform for Vision Applications

This paper introduces an open source platform for rapid development of c...

21 Phoenix X. Huang, et al. ∙

research

∙ 10/19/2021

Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records

Exploration and analysis of massive datasets has recently generated incr...

0 Xiaoyu Wang, et al. ∙

research

∙ 07/30/2021

Enhancing Social Relation Inference with Concise Interaction Graph and Discriminative Scene Representation

There has been a recent surge of research interest in attacking the prob...

8 Xiaotian Yu, et al. ∙

research

∙ 07/30/2021

Compression Network with Transformer for Approximate Nearest Neighbor Search

We propose a generic feature compression method for Approximate Nearest ...

0 Haokui Zhang, 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

∙ 06/05/2021

Bandwidth-based Step-Sizes for Non-Convex Stochastic Optimization

Many popular learning-rate schedules for deep neural networks combine a ...

0 Xiaoyu Wang, 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

∙ 02/19/2021

SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization

To investigate the status quo of SEAndroid policy customization, we prop...

0 Dongsong Yu, et al. ∙

research

∙ 02/18/2021

On the Convergence of Step Decay Step-Size for Stochastic Optimization

The convergence of stochastic gradient descent is highly dependent on th...

0 Xiaoyu Wang, et al. ∙

research

∙ 02/13/2021

Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections

Gaussian noise injections (GNIs) are a family of simple and widely-used ...

5 Alexander Camuto, et al. ∙

research

∙ 12/07/2020

Generalised Perceptron Learning

We present a generalisation of Rosenblatt's traditional perceptron learn...

0 Xiaoyu Wang, et al. ∙

research

∙ 11/16/2020

MAAC: Novel Alert Correlation Method To Detect Multi-step Attack

With the continuous improvement of attack methods, there are more and mo...

0 Xiaoyu Wang, et al. ∙

research

∙ 07/03/2020

Weakly Supervised Temporal Action Localization with Segment-Level Labels

Temporal action localization presents a trade-off between test performan...

0 Xinpeng Ding, et al. ∙

research

∙ 04/20/2020

Robust Partial Matching for Person Search in the Wild

Various factors like occlusions, backgrounds, etc., would lead to misali...

0 Yingji Zhong, et al. ∙

research

∙ 04/06/2020

Non-Convex Stochastic Optimization via Non-Reversible Stochastic Gradient Langevin Dynamics

Stochastic gradient Langevin dynamics (SGLD) is a poweful algorithm for ...

0 Yuanhan Hu, et al. ∙

research

∙ 03/09/2020

Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives

Stochastic gradient descent (SGD) has been widely studied in the literat...

0 Zhishuai Guo, et al. ∙

research

∙ 02/05/2020

A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing

A/B testing, or online experiment is a standard business strategy to com...

0 Chengchun Shi, et al. ∙

research

∙ 12/24/2019

a simple and effective framework for pairwise deep metric learning

Deep metric learning (DML) has received much attention in deep learning ...

29 Qi Qi, et al. ∙

research

∙ 11/19/2019

Distributed Generative Adversarial Net

Recently the Generative Adversarial Network has become a hot topic. Cons...

0 Xiaoyu Wang, et al. ∙

research

∙ 08/26/2019

Stochastic Optimization for Non-convex Inf-Projection Problems

In this paper, we study a family of non-convex and possibly non-smooth i...

0 Yan Yan, et al. ∙

research

∙ 05/28/2019

Progressive Learning of Low-Precision Networks

Recent years have witnessed the great advance of deep learning in a vari...

0 Zhengguang Zhou, et al. ∙

research

∙ 02/25/2019

Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference

Real-time traffic volume inference is key to an intelligent city. It is ...

6 Xianfeng Tang, et al. ∙

research

∙ 02/11/2019

Global Perturbation of Initial Geometry in a Biomechanical Model of Cortical Morphogenesis

Cortical folding pattern is a main characteristic of the geometry of the...

0 Amine Bohi, et al. ∙

research

∙ 11/28/2018

Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection

In this paper, we propose a novel object detection algorithm named "Deep...

0 Hongyu Xu, et al. ∙

Xiaoyu Wang

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