b'Xiaolin Hu'

research

∙ 08/16/2023

SCANet: A Self- and Cross-Attention Network for Audio-Visual Speech Separation

The integration of different modalities, such as audio and visual inform...

0 Kai Li, et al. ∙

research

∙ 08/05/2023

NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation

Semi-supervised semantic segmentation involves assigning pixel-wise labe...

0 Jianfeng Wang, et al. ∙

research

∙ 07/04/2023

Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling

Recent works have proposed to craft adversarial clothes for evading pers...

0 Zhanhao Hu, et al. ∙

research

∙ 05/31/2023

Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model

We propose Audio-Visual Lightweight ITerative model (AVLIT), an effectiv...

0 Héctor Martel, et al. ∙

research

∙ 05/28/2023

Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness

Recent works found that deep neural networks (DNNs) can be fooled by adv...

0 Zhanhao Hu, et al. ∙

research

∙ 05/27/2023

On the Importance of Backbone to the Adversarial Robustness of Object Detectors

Object detection is a critical component of various security-sensitive a...

0 Xiao Li, et al. ∙

research

∙ 04/20/2023

Meta Semantics: Towards better natural language understanding and reasoning

Natural language understanding is one of the most challenging topics in ...

0 Xiaolin Hu, et al. ∙

research

∙ 03/10/2023

MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems

Automatic speech recognition (ASR) systems based on deep neural networks...

0 Aminul Huq, et al. ∙

research

∙ 02/13/2023

CFNet: Cascade Fusion Network for Dense Prediction

Multi-scale features are essential for dense prediction tasks, including...

0 Gang Zhang, et al. ∙

research

∙ 01/31/2023

NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning

Semi-supervised learning (SSL) has been widely explored in recent years,...

0 Jianfeng Wang, et al. ∙

research

∙ 01/30/2023

Anchor-Based Adversarially Robust Zero-Shot Learning Driven by Language

Deep neural networks are vulnerable to adversarial attacks. We consider ...

0 Xiao Li, et al. ∙

research

∙ 12/21/2022

An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits

Audio-visual approaches involving visual inputs have laid the foundation...

0 Kai Li, et al. ∙

research

∙ 12/04/2022

Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks

Adversarial attacks can easily fool object recognition systems based on ...

0 Xiao Li, et al. ∙

research

∙ 11/30/2022

Extracting Semantic Knowledge from GANs with Unsupervised Learning

Recently, unsupervised learning has made impressive progress on various ...

0 Jianjin Xu, et al. ∙

research

∙ 09/30/2022

An efficient encoder-decoder architecture with top-down attention for speech separation

Deep neural networks have shown excellent prospects in speech separation...

0 Kai Li, et al. ∙

research

∙ 08/17/2022

On the Privacy Effect of Data Enhancement via the Lens of Memorization

Machine learning poses severe privacy concerns as it is shown that the l...

13 Xiao Li, et al. ∙

research

∙ 07/28/2022

Visual Recognition by Request

In this paper, we present a novel protocol of annotation and evaluation ...

0 Chufeng Tang, et al. ∙

research

∙ 07/23/2022

Active Pointly-Supervised Instance Segmentation

The requirement of expensive annotations is a major burden for training ...

0 Chufeng Tang, et al. ∙

research

∙ 07/03/2022

NP-Match: When Neural Processes meet Semi-Supervised Learning

Semi-supervised learning (SSL) has been widely explored in recent years,...

0 Jianfeng Wang, et al. ∙

research

∙ 06/15/2022

On the Use of Deep Mask Estimation Module for Neural Source Separation Systems

Most of the recent neural source separation systems rely on a masking-ba...

0 Kai Li, et al. ∙

research

∙ 05/12/2022

Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple Angles in Real World

Thermal infrared imaging is widely used in body temperature measurement,...

0 Xiaopei Zhu, et al. ∙

research

∙ 03/24/2022

A Manifold View of Adversarial Risk

The adversarial risk of a machine learning model has been widely studied...

3 Wenjia Zhang, et al. ∙

research

∙ 03/07/2022

An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks

Compared with rate-based artificial neural networks, Spiking Neural Netw...

0 Zhanhao Hu, et al. ∙

research

∙ 03/07/2022

Adversarial Texture for Fooling Person Detectors in the Physical World

Nowadays, cameras equipped with AI systems can capture and analyze image...

0 Zhanhao Hu, et al. ∙

research

∙ 02/22/2022

The Winning Solution to the iFLYTEK Challenge 2021 Cultivated Land Extraction from High-Resolution Remote Sensing Image

Extracting cultivated land accurately from high-resolution remote images...

0 Zhen Zhao, et al. ∙

research

∙ 12/04/2021

Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network

Recent advances in the design of neural network architectures, in partic...

0 Xiaolin Hu, et al. ∙

research

∙ 10/30/2021

Adjacency constraint for efficient hierarchical reinforcement learning

Goal-conditioned Hierarchical Reinforcement Learning (HRL) is a promisin...

6 Tianren Zhang, et al. ∙

research

∙ 06/18/2021

RSG: A Simple but Effective Module for Learning Imbalanced Datasets

Imbalanced datasets widely exist in practice and area great challenge fo...

0 Jianfeng Wang, et al. ∙

research

∙ 06/05/2021

Convolutional Neural Networks with Gated Recurrent Connections

The convolutional neural network (CNN) has become a basic model for solv...

0 Jianfeng Wang, et al. ∙

research

∙ 05/19/2021

Attack on practical speaker verification system using universal adversarial perturbations

In authentication scenarios, applications of practical speaker verificat...

0 Weiyi Zhang, et al. ∙

research

∙ 04/17/2021

RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features

The two-stage methods for instance segmentation, e.g. Mask R-CNN, have a...

39 Gang Zhang, et al. ∙

research

∙ 04/12/2021

Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation

Tremendous efforts have been made on instance segmentation but the mask ...

5 Chufeng Tang, et al. ∙

research

∙ 03/02/2021

CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds

It is often desired to train 6D pose estimation systems on synthetic dat...

0 Ge Gao, et al. ∙

research

∙ 02/23/2021

Rethinking Natural Adversarial Examples for Classification Models

Recently, it was found that many real-world examples without intentional...

11 Xiao Li, et al. ∙

research

∙ 02/12/2021

Annotation Cleaning for the MSR-Video to Text Dataset

The video captioning task is to describe the video contents with natural...

0 Haoran Chen, et al. ∙

research

∙ 02/11/2021

Frame Difference-Based Temporal Loss for Video Stylization

Neural style transfer models have been used to stylize an ordinary video...

1 Jianjin Xu, et al. ∙

research

∙ 01/20/2021

Fooling thermal infrared pedestrian detectors in real world using small bulbs

Thermal infrared detection systems play an important role in many areas ...

5 Xiaopei Zhu, et al. ∙

research

∙ 06/20/2020

Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning

Goal-conditioned hierarchical reinforcement learning (HRL) is a promisin...

10 Tianren Zhang, et al. ∙

research

∙ 02/12/2020

End-to-End Face Parsing via Interlinked Convolutional Neural Networks

Face parsing is an important computer vision task that requires accurate...

18 Zi Yin, et al. ∙

research

∙ 01/24/2020

6D Object Pose Regression via Supervised Learning on Point Clouds

This paper addresses the task of estimating the 6 degrees of freedom pos...

37 Ge Gao, et al. ∙

research

∙ 01/16/2020

Delving Deeper into the Decoder for Video Captioning

Video captioning is an advanced multi-modal task which aims to describe ...

7 Haoran Chen, et al. ∙

research

∙ 10/10/2019

Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization

Pedestrian attribute recognition has been an emerging research topic in ...

23 Chufeng Tang, et al. ∙

research

∙ 10/07/2019

Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork

We propose a novel perspective to understand deep neural networks in an ...

0 Yulong Wang, et al. ∙

research

∙ 09/27/2019

Pruning from Scratch

Network pruning is an important research field aiming at reducing comput...

24 Yulong Wang, et al. ∙

research

∙ 08/31/2019

A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling

Given the features of a video, recurrent neural network can be used to a...

5 Haoran Chen, et al. ∙

research

∙ 05/23/2019

Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks

The Convolutional Neural Networks (CNNs) generate the feature representa...

0 Xiang Li, et al. ∙

research

∙ 04/19/2019

Knowledge Distillation via Route Constrained Optimization

Distillation-based learning boosts the performance of the miniaturized n...

8 Xiao Jin, et al. ∙

research

∙ 03/15/2019

Selective Kernel Networks

In standard Convolutional Neural Networks (CNNs), the receptive fields o...

0 Xiang Li, et al. ∙

research

∙ 03/15/2019

Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation

Human-object interactions (HOI) recognition and pose estimation are two ...

0 Wei Feng, et al. ∙

research

∙ 06/07/2018

Interlinked Convolutional Neural Networks for Face Parsing

Face parsing is a basic task in face image analysis. It amounts to label...

2 Yisu Zhou, et al. ∙

Xiaolin Hu

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