Search Results for author: Yunhong Wang

Found 48 papers, 16 papers with code

iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization

no code implementations25 Aug 2021 Huiqun Wang, Ruijie Yang, Di Huang, Yunhong Wang

Differentiable ARchiTecture Search (DARTS) uses a continuous relaxation of network representation and dramatically accelerates Neural Architecture Search (NAS) by almost thousands of times in GPU-day.

Neural Architecture Search

Video Person Re-identification using Attribute-enhanced Features

no code implementations16 Aug 2021 Tianrui Chai, ZhiYuan Chen, Annan Li, Jiaxin Chen, Xinyu Mei, Yunhong Wang

Video-based person re-identification (Re-ID) which aims to associate people across non-overlapping cameras using surveillance video is a challenging task.

Video-Based Person Re-Identification

Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy

no code implementations16 Aug 2021 Ruikui Wang, Yuanfang Guo, Ruijie Yang, Yunhong Wang

In this paper, we explore effective mechanisms to boost both of them from the perspective of network hierarchy, where a typical network can be hierarchically divided into output stage, intermediate stage and input stage.

Affine Transformation

Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning

1 code implementation15 Aug 2021 Jiahao Wang, Yunhong Wang, Sheng Liu, Annan Li

Fine-grained action recognition is attracting increasing attention due to the emerging demand of specific action understanding in real-world applications, whereas the data of rare fine-grained categories is very limited.

Action Understanding Fine-grained Action Recognition +1

Silhouette based View embeddings for Gait Recognition under Multiple Views

1 code implementation12 Aug 2021 Tianrui Chai, Xinyu Mei, Annan Li, Yunhong Wang

Gait recognition under multiple views is an important computer vision and pattern recognition task.

Gait Recognition

Cross-View Gait Recognition With Deep Universal Linear Embeddings

no code implementations CVPR 2021 Shaoxiong Zhang, Yunhong Wang, Annan Li

Furthermore, a novel framework based on convolutional variational autoencoder and deep Koopman embedding is proposed to approximate the Koopman operators, which is used as dynamical features from the linearized embedding space for cross-view gait recognition.

Gait Recognition

Pixel Sampling for Style Preserving Face Pose Editing

no code implementations14 Jun 2021 Xiangnan Yin, Di Huang, Hongyu Yang, Zehua Fu, Yunhong Wang, Liming Chen

The existing auto-encoder based face pose editing methods primarily focus on modeling the identity preserving ability during pose synthesis, but are less able to preserve the image style properly, which refers to the color, brightness, saturation, etc.

Facial Inpainting

Visual Grounding with Transformers

no code implementations10 May 2021 Ye Du, Zehua Fu, Qingjie Liu, Yunhong Wang

In this paper, we propose a transformer based approach for visual grounding.

Visual Grounding

A Perceptual Distortion Reduction Framework for Adversarial Perturbation Generation

no code implementations1 May 2021 Ruijie Yang, Yunhong Wang, Yuanfang Guo

Besides, we propose a perceptual distortion constraint and add it into the objective function of adversarial attack to jointly optimize the perceptual distortions and attack success rate.

Adversarial Attack

STMTrack: Template-free Visual Tracking with Space-time Memory Networks

no code implementations CVPR 2021 Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang

Boosting performance of the offline trained siamese trackers is getting harder nowadays since the fixed information of the template cropped from the first frame has been almost thoroughly mined, but they are poorly capable of resisting target appearance changes.

Visual Tracking

MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images

no code implementations24 Dec 2020 Ran Qin, Qingjie Liu, Guangshuai Gao, Di Huang, Yunhong Wang

Objects in aerial images usually have arbitrary orientations and are densely located over the ground, making them extremely challenge to be detected.

Object Detection In Aerial Images Region Proposal

Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks

no code implementations20 Dec 2020 Hao Zeng, Qingjie Liu, Mingming Zhang, Xiaoqing Han, Yunhong Wang

To further lift the classification performance, in this work we propose a graph convolution network (GCN) based framework for HSI classification that uses two clustering operations to better exploit multi-hop node correlations and also effectively reduce graph size.

Classification General Classification +2

PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection

no code implementations18 Dec 2020 Yanan Zhang, Di Huang, Yunhong Wang

LiDAR-based 3D object detection is an important task for autonomous driving and current approaches suffer from sparse and partial point clouds of distant and occluded objects.

3D Object Detection Autonomous Driving +1

PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening

1 code implementation16 Dec 2020 Huanyu Zhou, Qingjie Liu, Yunhong Wang

However, since there are no intended HR MS images as references for learning, almost all of the existing methods down-sample the MS and PAN images and regard the original MS images as targets to form a supervised setting for training.

PSCNet: Pyramidal Scale and Global Context Guided Network for Crowd Counting

no code implementations7 Dec 2020 Guangshuai Gao, Qingjie Liu, Qi Wen, Yunhong Wang

GCM is devised with low-complexity and lightweight manner, to make the interactive information across the channels of the feature maps more efficient, meanwhile guide the model to select more suitable scales generated from PSM.

Crowd Counting Object Counting

ARM: A Confidence-Based Adversarial Reweighting Module for Coarse Semantic Segmentation

no code implementations11 Sep 2020 Jingchao Liu, Ye Du, Zehua Fu, Qingjie Liu, Yunhong Wang

Experiments on standard datasets shows our ARM can bring consistent improvements for both coarse annotations and fine annotations.

Semantic Segmentation

Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method

1 code implementation28 Aug 2020 Guangshuai Gao, Qingjie Liu, Yunhong Wang

Object counting, whose aim is to estimate the number of objects from a given image, is an important and challenging computation task.

Crowd Counting Object Counting

Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

1 code implementation ECCV 2020 Jiaxi Wu, Songtao Liu, Di Huang, Yunhong Wang

Few-shot object detection (FSOD) helps detectors adapt to unseen classes with few training instances, and is useful when manual annotation is time-consuming or data acquisition is limited.

Few-Shot Object Detection

CNN-based Density Estimation and Crowd Counting: A Survey

2 code implementations28 Mar 2020 Guangshuai Gao, Junyu. Gao, Qingjie Liu, Qi. Wang, Yunhong Wang

Through our analysis, we expect to make reasonable inference and prediction for the future development of crowd counting, and meanwhile, it can also provide feasible solutions for the problem of object counting in other fields.

Crowd Counting Density Estimation +1

Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation

no code implementations CVPR 2020 Yangtao Zheng, Di Huang, Songtao Liu, Yunhong Wang

Thanks to this coarse-to-fine feature adaptation, domain knowledge in foreground regions can be effectively transferred.

Object Detection

From W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques

1 code implementation14 Mar 2020 Bin Hou, Qingjie Liu, Heng Wang, Yunhong Wang

Traditional change detection methods usually follow the image differencing, change feature extraction and classification framework, and their performance is limited by such simple image domain differencing and also the hand-crafted features.

Fake Generated Painting Detection via Frequency Analysis

no code implementations5 Mar 2020 Yong Bai, Yuanfang Guo, Jinjie Wei, Lin Lu, Rui Wang, Yunhong Wang

With the development of deep neural networks, digital fake paintings can be generated by various style transfer algorithms. To detect the fake generated paintings, we analyze the fake generated and real paintings in Fourier frequency domain and observe statistical differences and artifacts.

Style Transfer

Counting dense objects in remote sensing images

no code implementations14 Feb 2020 Guangshuai Gao, Qingjie Liu, Yunhong Wang

Significant efforts have been made to address this problem and achieve great progress, yet counting number of ground objects from remote sensing images is barely studied.

Object Counting

A Feasible Framework for Arbitrary-Shaped Scene Text Recognition

2 code implementations10 Dec 2019 Jinjin Zhang, Wei Wang, Di Huang, Qingjie Liu, Yunhong Wang

Deep learning based methods have achieved surprising progress in Scene Text Recognition (STR), one of classic problems in computer vision.

Instance Segmentation Language Modelling +4

Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism

no code implementations26 Nov 2019 Mingda Wu, Di Huang, Yuanfang Guo, Yunhong Wang

Recently, Human Attribute Recognition (HAR) has become a hot topic due to its scientific challenges and application potentials, where localizing attributes is a crucial stage but not well handled.

Learning Spatial Fusion for Single-Shot Object Detection

1 code implementation21 Nov 2019 Songtao Liu, Di Huang, Yunhong Wang

Pyramidal feature representation is the common practice to address the challenge of scale variation in object detection.

Object Detection

A Temporal Attentive Approach for Video-Based Pedestrian Attribute Recognition

no code implementations17 Jan 2019 Zhiyuan Chen, Annan Li, Yunhong Wang

In this paper, we first tackle the problem of pedestrian attribute recognition by video-based approach.

Pedestrian Attribute Recognition

Learning Continuous Face Age Progression: A Pyramid of GANs

no code implementations10 Jan 2019 Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain

The two underlying requirements of face age progression, i. e. aging accuracy and identity permanence, are not well studied in the literature.

Face Recognition

Attentive Relational Networks for Mapping Images to Scene Graphs

no code implementations CVPR 2019 Mengshi Qi, Weijian Li, Zhengyuan Yang, Yunhong Wang, Jiebo Luo

Scene graph generation refers to the task of automatically mapping an image into a semantic structural graph, which requires correctly labeling each extracted object and their interaction relationships.

Graph Generation Object Detection +1

stagNet: An Attentive Semantic RNN for Group Activity Recognition

no code implementations ECCV 2018 Mengshi Qi, Jie Qin, Annan Li, Yunhong Wang, Jiebo Luo, Luc van Gool

Group activity recognition plays a fundamental role in a variety of applications, e. g. sports video analysis and intelligent surveillance.

Group Activity Recognition

PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening

1 code implementation9 May 2018 Qingjie Liu, Huanyu Zhou, Qizhi Xu, Xiangyu Liu, Yunhong Wang

This paper addresses the problem of remote sensing image pan-sharpening from the perspective of generative adversarial learning.

Adversarial Binary Coding for Efficient Person Re-identification

no code implementations29 Mar 2018 Zheng Liu, Jie Qin, Annan Li, Yunhong Wang, Luc van Gool

Specifically, instead of learning explicit projections or adding fully-connected mapping layers, the proposed Adversarial Binary Coding (ABC) framework guides the extraction of binary codes implicitly and effectively.

Person Re-Identification

Road Extraction by Deep Residual U-Net

11 code implementations29 Nov 2017 Zhengxin Zhang, Qingjie Liu, Yunhong Wang

Road extraction from aerial images has been a hot research topic in the field of remote sensing image analysis.

Lesion Segmentation Lung Nodule Segmentation +3

Learning Face Age Progression: A Pyramid Architecture of GANs

1 code implementation CVPR 2018 Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain

The two underlying requirements of face age progression, i. e. aging accuracy and identity permanence, are not well studied in the literature.

Feature Map Pooling for Cross-View Gait Recognition Based on Silhouette Sequence Images

no code implementations26 Nov 2017 Qiang Chen, Yunhong Wang, Zheng Liu, Qingjie Liu, Di Huang

In this paper, we develop a novel convolutional neural network based approach to extract and aggregate useful information from gait silhouette sequence images instead of simply representing the gait process by averaging silhouette images.

Gait Recognition

Visual and Textual Sentiment Analysis Using Deep Fusion Convolutional Neural Networks

no code implementations21 Nov 2017 Xingyue Chen, Yunhong Wang, Qingjie Liu

Sentiment analysis is attracting more and more attentions and has become a very hot research topic due to its potential applications in personalized recommendation, opinion mining, etc.

Opinion Mining Sentiment Analysis

Receptive Field Block Net for Accurate and Fast Object Detection

7 code implementations ECCV 2018 Songtao Liu, Di Huang, Yunhong Wang

Current top-performing object detectors depend on deep CNN backbones, such as ResNet-101 and Inception, benefiting from their powerful feature representations but suffering from high computational costs.

Real-Time Object Detection

Remote Sensing Image Fusion Based on Two-stream Fusion Network

1 code implementation7 Nov 2017 Xiangyu Liu, Qingjie Liu, Yunhong Wang

Unlike previous CNN based methods that consider pan-sharpening as a super resolution problem and perform pan-sharpening in pixel level, the proposed TFNet aims to fuse PAN and MS images in feature level and reconstruct the pan-sharpened image from the fused features.

Image Reconstruction Super-Resolution

Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation

no code implementations CVPR 2017 Jiaxin Chen, Yunhong Wang, Jie Qin, Li Liu, Ling Shao

Numerous methods have been proposed for person re-identification, most of which however neglect the matching efficiency.

Person Re-Identification

Binary Coding for Partial Action Analysis With Limited Observation Ratios

no code implementations CVPR 2017 Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang

Extensive experiments on four realistic action datasets in terms of three tasks (i. e., partial action retrieval, recognition and prediction) clearly show the superiority of PRBC over the state-of-the-art methods, along with significantly reduced memory load and computational costs during the online test.

Action Recognition Binarization

Face Aging Effect Simulation using Hidden Factor Analysis Joint Sparse Representation

no code implementations4 Nov 2015 Hongyu Yang, Di Huang, Yunhong Wang, Heng Wang, Yuanyan Tang

Face aging simulation has received rising investigations nowadays, whereas it still remains a challenge to generate convincing and natural age-progressed face images.

Cannot find the paper you are looking for? You can Submit a new open access paper.