Search Results for author: Xiaolin Hu

Found 51 papers, 32 papers with code

Boosting Decision-based Black-box Adversarial Attacks with Random Sign Flip

no code implementations ECCV 2020 Wei-Lun Chen, Zhao-Xiang Zhang, Xiaolin Hu, Baoyuan Wu

Decision-based black-box adversarial attacks (decision-based attack) pose a severe threat to current deep neural networks, as they only need the predicted label of the target model to craft adversarial examples.

Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models

no code implementations11 Jun 2022 Han Liu, Bingning Wang, Ting Yao, Haijin Liang, Jianjin Xu, Xiaolin Hu

Large-scale pre-trained language models have achieved great success on natural language generation tasks.

Text Generation

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

no code implementations12 May 2022 Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu

We simulated the process from cloth to clothing in the digital world and then designed the adversarial "QR code" pattern.

An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks

no code implementations7 Mar 2022 Zhanhao Hu, Tao Wang, Xiaolin Hu

Compared with rate-based artificial neural networks, Spiking Neural Networks (SNN) provide a more biological plausible model for the brain.

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

1 code implementation22 Feb 2022 Zhen Zhao, Yuqiu Liu, Gang Zhang, Liang Tang, Xiaolin Hu

This report introduces our solution to the iFLYTEK challenge 2021 cultivated land extraction from high-resolution remote sensing image.

Instance Segmentation Semantic Segmentation

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

no code implementations CVPR 2022 Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu

We simulated the process from cloth to clothing in the digital world and then designed the adversarial "QR code" pattern.

RSG: A Simple but Effective Module for Learning Imbalanced Datasets

1 code implementation CVPR 2021 JianFeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu

Imbalanced datasets widely exist in practice and area great challenge for training deep neural models with agood generalization on infrequent classes.

Long-tail Learning

Convolutional Neural Networks with Gated Recurrent Connections

1 code implementation5 Jun 2021 JianFeng Wang, Xiaolin Hu

The critical element of RCNN is the recurrent convolutional layer (RCL), which incorporates recurrent connections between neurons in the standard convolutional layer.

object-detection Object Detection +2

Attack on practical speaker verification system using universal adversarial perturbations

1 code implementation19 May 2021 Weiyi Zhang, Shuning Zhao, Le Liu, Jianmin Li, Xingliang Cheng, Thomas Fang Zheng, Xiaolin Hu

In authentication scenarios, applications of practical speaker verification systems usually require a person to read a dynamic authentication text.

Real-World Adversarial Attack Speaker Verification +1

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

1 code implementation CVPR 2021 Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu

In this work, we propose a new method called RefineMask for high-quality instance segmentation of objects and scenes, which incorporates fine-grained features during the instance-wise segmenting process in a multi-stage manner.

Instance Segmentation Semantic Segmentation

Rethinking Natural Adversarial Examples for Classification Models

1 code implementation23 Feb 2021 Xiao Li, Jianmin Li, Ting Dai, Jie Shi, Jun Zhu, Xiaolin Hu

A detection model based on the classification model EfficientNet-B7 achieved a top-1 accuracy of 53. 95%, surpassing previous state-of-the-art classification models trained on ImageNet, suggesting that accurate localization information can significantly boost the performance of classification models on ImageNet-A.

Classification General Classification +2

The MSR-Video to Text Dataset with Clean Annotations

1 code implementation12 Feb 2021 Haoran Chen, Jianmin Li, Simone Frintrop, Xiaolin Hu

We cleaned the MSR-VTT annotations by removing these problems, then tested several typical video captioning models on the cleaned dataset.

Video Captioning

Frame Difference-Based Temporal Loss for Video Stylization

2 code implementations11 Feb 2021 Jianjin Xu, Zheyang Xiong, Xiaolin Hu

To ensure temporal inconsistency between the frames of the stylized video, a common approach is to estimate the optic flow of the pixels in the original video and make the generated pixels match the estimated optical flow.

Optical Flow Estimation Style Transfer

Fooling thermal infrared pedestrian detectors in real world using small bulbs

no code implementations20 Jan 2021 Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu

We propose a physical attack method with small bulbs on a board against the state of-the-art pedestrian detectors.

Autonomous Driving

DAM: Discrepancy Alignment Metric for Face Recognition

no code implementations ICCV 2021 Jiaheng Liu, Yudong Wu, Yichao Wu, Chuming Li, Xiaolin Hu, Ding Liang, Mengyu Wang

To estimate the LID of each face image in the verification process, we propose two types of LID Estimation (LIDE) methods, which are reference-based and learning-based estimation methods, respectively.

Face Recognition

Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning

1 code implementation NeurIPS 2020 Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen

In this paper, we show that this problem can be effectively alleviated by restricting the high-level action space from the whole goal space to a $k$-step adjacent region of the current state using an adjacency constraint.

Continuous Control Hierarchical Reinforcement Learning +1

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

6 code implementations NeurIPS 2020 Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

Specifically, we merge the quality estimation into the class prediction vector to form a joint representation of localization quality and classification, and use a vector to represent arbitrary distribution of box locations.

Classification Dense Object Detection +2

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

1 code implementation12 Feb 2020 Zi Yin, Valentin Yiu, Xiaolin Hu, Liang Tang

Face parsing is an important computer vision task that requires accurate pixel segmentation of facial parts (such as eyes, nose, mouth, etc.

Face Parsing

6D Object Pose Regression via Supervised Learning on Point Clouds

1 code implementation24 Jan 2020 Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang, Simone Frintrop

We use depth information represented by point clouds as the input to both deep networks and geometry-based pose refinement and use separate networks for rotation and translation regression.

Translation

Delving Deeper into the Decoder for Video Captioning

1 code implementation16 Jan 2020 Haoran Chen, Jianmin Li, Xiaolin Hu

Video captioning is an advanced multi-modal task which aims to describe a video clip using a natural language sentence.

Video Captioning Video Description

Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork

no code implementations7 Oct 2019 Yulong Wang, Xiaolin Hu, Hang Su

We also apply extracted subnetworks in visual explanation and adversarial example detection tasks by merely replacing the original full model with class-specific subnetworks.

Disentanglement

Pruning from Scratch

1 code implementation27 Sep 2019 Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu

Network pruning is an important research field aiming at reducing computational costs of neural networks.

Network Pruning

A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling

2 code implementations31 Aug 2019 Haoran Chen, Ke Lin, Alexander Maye, Jianming Li, Xiaolin Hu

Given the features of a video, recurrent neural networks can be used to automatically generate a caption for the video.

Video Captioning

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

2 code implementations23 May 2019 Xiang Li, Xiaolin Hu, Jian Yang

The Convolutional Neural Networks (CNNs) generate the feature representation of complex objects by collecting hierarchical and different parts of semantic sub-features.

Image Classification Object Detection

Knowledge Distillation via Route Constrained Optimization

1 code implementation ICCV 2019 Xiao Jin, Baoyun Peng, Yi-Chao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Xiaolin Hu

However, we find that the representation of a converged heavy model is still a strong constraint for training a small student model, which leads to a high lower bound of congruence loss.

Face Recognition Knowledge Distillation

Selective Kernel Networks

12 code implementations CVPR 2019 Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang

A building block called Selective Kernel (SK) unit is designed, in which multiple branches with different kernel sizes are fused using softmax attention that is guided by the information in these branches.

Image Classification

Dynamic Multi-path Neural Network

no code implementations28 Feb 2019 Yingcheng Su, Shunfeng Zhou, Yi-Chao Wu, Tian Su, Ding Liang, Jiaheng Liu, Dixin Zheng, Yingxu Wang, Junjie Yan, Xiaolin Hu

Although deeper and larger neural networks have achieved better performance, the complex network structure and increasing computational cost cannot meet the demands of many resource-constrained applications.

Interlinked Convolutional Neural Networks for Face Parsing

no code implementations7 Jun 2018 Yisu Zhou, Xiaolin Hu, Bo Zhang

It amounts to labeling each pixel with appropriate facial parts such as eyes and nose.

Face Parsing

High Performance Visual Tracking With Siamese Region Proposal Network

5 code implementations CVPR 2018 Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, Xiaolin Hu

Visual object tracking has been a fundamental topic in recent years and many deep learning based trackers have achieved state-of-the-art performance on multiple benchmarks.

Region Proposal Visual Object Tracking +1

Interpret Neural Networks by Identifying Critical Data Routing Paths

no code implementations CVPR 2018 Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu

Interpretability of a deep neural network aims to explain the rationale behind its decisions and enable the users to understand the intelligent agents, which has become an important issue due to its importance in practical applications.

Adversarial Attacks and Defences Competition

1 code implementation31 Mar 2018 Alexey Kurakin, Ian Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jian-Yu Wang, Zhishuai Zhang, Zhou Ren, Alan Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe

To accelerate research on adversarial examples and robustness of machine learning classifiers, Google Brain organized a NIPS 2017 competition that encouraged researchers to develop new methods to generate adversarial examples as well as to develop new ways to defend against them.

Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift

4 code implementations CVPR 2019 Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang

Theoretically, we find that Dropout would shift the variance of a specific neural unit when we transfer the state of that network from train to test.

A Hierarchical Recurrent Neural Network for Symbolic Melody Generation

2 code implementations14 Dec 2017 Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu

In this paper, we present a hierarchical recurrent neural network for melody generation, which consists of three Long-Short-Term-Memory (LSTM) subnetworks working in a coarse-to-fine manner along time.

Sound Multimedia

Gated Recurrent Convolution Neural Network for OCR

1 code implementation NeurIPS 2017 Jianfeng Wang, Xiaolin Hu

Its critical component, Gated Recurrent Convolution Layer (GRCL), is constructed by adding a gate to the Recurrent Convolution Layer (RCL), the critical component of RCNN.

General Classification Image Classification +1

Boosting Adversarial Attacks with Momentum

5 code implementations CVPR 2018 Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li

To further improve the success rates for black-box attacks, we apply momentum iterative algorithms to an ensemble of models, and show that the adversarially trained models with a strong defense ability are also vulnerable to our black-box attacks.

Adversarial Attack

Estimation of the volume of the left ventricle from MRI images using deep neural networks

1 code implementation13 Feb 2017 Fangzhou Liao, Xi Chen, Xiaolin Hu, Sen Song

In 2016, Kaggle organized a competition to estimate the volume of LV from MRI images.

UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision

no code implementations14 Dec 2016 Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, Alan Yuille

We generate a large synthetic image dataset with automatically computed hazardous regions and analyze algorithms on these regions.

Image Generation

Joint Training of Cascaded CNN for Face Detection

no code implementations CVPR 2016 Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu

Cascade has been widely used in face detection, where classifier with low computation cost can be firstly used to shrink most of the background while keeping the recall.

Face Detection Region Proposal

Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling

no code implementations NeurIPS 2015 Ming Liang, Xiaolin Hu, Bo Zhang

We adopt a deep recurrent convolutional neural network (RCNN) for this task, which is originally proposed for object recognition.

Object Recognition Scene Labeling

Recurrent Convolutional Neural Network for Object Recognition

no code implementations CVPR 2015 Ming Liang, Xiaolin Hu

Inspired by this fact, we propose a recurrent CNN (RCNN) for object recognition by incorporating recurrent connections into each convolutional layer.

Object Recognition

A Reverse Hierarchy Model for Predicting Eye Fixations

no code implementations CVPR 2014 Tianlin Shi, Liang Ming, Xiaolin Hu

A number of psychological and physiological evidences suggest that early visual attention works in a coarse-to-fine way, which lays a basis for the reverse hierarchy theory (RHT).

Image Super-Resolution Saliency Detection

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