b'Yunhong Wang'

research

∙ 09/18/2023

HiT: Building Mapping with Hierarchical Transformers

Deep learning-based methods have been extensively explored for automatic...

0 Mingming Zhang, et al. ∙

research

∙ 09/07/2023

Zero-Shot Scene Graph Generation via Triplet Calibration and Reduction

Scene Graph Generation (SGG) plays a pivotal role in downstream vision-l...

0 Jiankai Li, et al. ∙

research

∙ 08/20/2023

Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection

Anomaly detection (AD), aiming to find samples that deviate from the tra...

0 Guodong Wang, et al. ∙

research

∙ 08/18/2023

RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Images

With the rapid development of the image generation technologies, the mal...

0 Hui Miao, et al. ∙

research

∙ 07/21/2023

SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection

Recently, the pure camera-based Bird's-Eye-View (BEV) perception provide...

0 Jinqing Zhang, et al. ∙

research

∙ 07/01/2023

Common Knowledge Learning for Generating Transferable Adversarial Examples

This paper focuses on an important type of black-box attacks, i.e., tran...

0 Ruijie Yang, et al. ∙

research

∙ 03/17/2023

Denoising Diffusion Autoencoders are Unified Self-supervised Learners

Inspired by recent advances in diffusion models, which are reminiscent o...

0 Weilai Xiang, et al. ∙

research

∙ 03/07/2023

Learning Discriminative Representations for Skeleton Based Action Recognition

Human action recognition aims at classifying the category of human actio...

0 Huanyu Zhou, et al. ∙

research

∙ 03/01/2023

BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction

Extracting building footprints from remote sensing images has been attra...

0 Mingming Zhang, et al. ∙

research

∙ 02/07/2023

Heterophily-Aware Graph Attention Network

Graph Neural Networks (GNNs) have shown remarkable success in graph repr...

0 Junfu Wang, et al. ∙

research

∙ 12/08/2022

An Empirical Study on Multi-Domain Robust Semantic Segmentation

How to effectively leverage the plentiful existing datasets to train a r...

0 Yajie Liu, et al. ∙

research

∙ 10/24/2022

Binary Graph Convolutional Network with Capacity Exploration

The current success of Graph Neural Networks (GNNs) usually relies on lo...

0 Junfu Wang, et al. ∙

research

∙ 10/05/2022

Exploring Effective Knowledge Transfer for Few-shot Object Detection

Recently, few-shot object detection (FSOD) has received much attention f...

0 Zhiyuan Zhao, et al. ∙

research

∙ 09/25/2022

D^3: Duplicate Detection Decontaminator for Multi-Athlete Tracking in Sports Videos

Tracking multiple athletes in sports videos is a very challenging Multi-...

0 Rui He, et al. ∙

research

∙ 09/23/2022

Relation Embedding based Graph Neural Networks for Handling Heterogeneous Graph

Heterogeneous graph learning has drawn significant attentions in recent ...

0 Junfu Wang, et al. ∙

research

∙ 07/20/2022

Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles

Video Anomaly Detection (VAD) is an important topic in computer vision. ...

0 Guodong Wang, et al. ∙

research

∙ 05/08/2022

SparseTT: Visual Tracking with Sparse Transformers

Transformers have been successfully applied to the visual tracking task ...

0 Zhihong Fu, et al. ∙

research

∙ 03/06/2022

PanFormer: a Transformer Based Model for Pan-sharpening

Pan-sharpening aims at producing a high-resolution (HR) multi-spectral (...

0 Huanyu Zhou, et al. ∙

research

∙ 01/13/2022

RealGait: Gait Recognition for Person Re-Identification

Human gait is considered a unique biometric identifier which can be acqu...

12 Shaoxiong Zhang, et al. ∙

research

∙ 12/15/2021

Segmentation-Reconstruction-Guided Facial Image De-occlusion

Occlusions are very common in face images in the wild, leading to the de...

0 Xiangnan Yin, et al. ∙

research

∙ 11/06/2021

Will You Ever Become Popular? Learning to Predict Virality of Dance Clips

Dance challenges are going viral in video communities like TikTok nowada...

1 Jiahao Wang, et al. ∙

research

∙ 10/14/2021

Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast

Though image-level weakly supervised semantic segmentation (WSSS) has ac...

0 Ye Du, et al. ∙

research

∙ 09/20/2021

Unsupervised Cycle-consistent Generative Adversarial Networks for Pan-sharpening

Deep learning based pan-sharpening has received significant research int...

4 Huanyu Zhou, et al. ∙

research

∙ 08/25/2021

iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization

Differentiable ARchiTecture Search (DARTS) uses a continuous relaxation ...

0 Huiqun Wang, et al. ∙

research

∙ 08/16/2021

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

The transferability and robustness of adversarial examples are two pract...

0 Ruikui Wang, et al. ∙

research

∙ 08/15/2021

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

Fine-grained action recognition is attracting increasing attention due t...

7 Jiahao Wang, et al. ∙

research

∙ 08/12/2021

Silhouette based View embeddings for Gait Recognition under Multiple Views

Gait recognition under multiple views is an important computer vision an...

0 Tianrui Chai, et al. ∙

research

∙ 06/14/2021

Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction

Although much progress has been made recently in 3D face reconstruction,...

0 Xiangnan Yin, et al. ∙

research

∙ 06/14/2021

Pixel Sampling for Style Preserving Face Pose Editing

The existing auto-encoder based face pose editing methods primarily focu...

0 Xiangnan Yin, et al. ∙

research

∙ 05/10/2021

Visual Grounding with Transformers

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

0 Ye Du, et al. ∙

research

∙ 05/05/2021

Magnifying Subtle Facial Motions for Effective 4D Expression Recognition

In this paper, an effective pipeline to automatic 4D Facial Expression R...

0 Qingkai Zhen, et al. ∙

research

∙ 05/01/2021

A Perceptual Distortion Reduction Framework for Adversarial Perturbation Generation

Most of the adversarial attack methods suffer from large perceptual dist...

0 Ruijie Yang, et al. ∙

research

∙ 04/01/2021

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

Boosting performance of the offline trained siamese trackers is getting ...

0 Zhihong Fu, et al. ∙

research

∙ 12/24/2020

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

Objects in aerial images usually have arbitrary orientations and are den...

1 Ran Qin, et al. ∙

research

∙ 12/20/2020

Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks

Hyperspectral image classification (HIC) is an important but challenging...

6 Hao Zeng, et al. ∙

research

∙ 12/18/2020

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

LiDAR-based 3D object detection is an important task for autonomous driv...

0 Yanan Zhang, et al. ∙

research

∙ 12/16/2020

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

Pan-sharpening aims at fusing a low-resolution (LR) multi-spectral (MS) ...

0 Huanyu Zhou, et al. ∙

research

∙ 12/07/2020

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

Crowd counting, which towards to accurately count the number of the obje...

0 Guangshuai Gao, et al. ∙

research

∙ 10/15/2020

Bi-GCN: Binary Graph Convolutional Network

Graph Neural Networks (GNNs) have achieved tremendous success in graph r...

0 Junfu Wang, et al. ∙

research

∙ 09/11/2020

Variance Loss: A Confidence-Based Reweighting Strategy for Coarse Semantic Segmentation

Coarsely-labeled semantic segmentation annotations are easy to obtain, b...

0 Jingchao Liu, et al. ∙

research

∙ 08/28/2020

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

Object counting, whose aim is to estimate the number of objects from a g...

8 Guangshuai Gao, et al. ∙

research

∙ 08/20/2020

Co-Saliency Detection with Co-Attention Fully Convolutional Network

Co-saliency detection aims to detect common salient objects from a group...

0 Guangshuai Gao, et al. ∙

research

∙ 07/18/2020

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

Few-shot object detection (FSOD) helps detectors adapt to unseen classes...

0 Jiaxi Wu, et al. ∙

research

∙ 03/28/2020

CNN-based Density Estimation and Crowd Counting: A Survey

Accurately estimating the number of objects in a single image is a chall...

0 Guangshuai Gao, et al. ∙

research

∙ 03/23/2020

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

Recent years have witnessed great progress in deep learning based object...

0 Yangtao Zheng, et al. ∙

research

∙ 03/14/2020

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

Traditional change detection methods usually follow the image differenci...

0 Bin Hou, et al. ∙

research

∙ 03/05/2020

Fake Generated Painting Detection via Frequency Analysis

With the development of deep neural networks, digital fake paintings can...

5 Yong Bai, et al. ∙

research

∙ 02/14/2020

Counting dense objects in remote sensing images

Estimating accurate number of interested objects from a given image is a...

0 Guangshuai Gao, et al. ∙

research

∙ 11/26/2019

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

Recently, Human Attribute Recognition (HAR) has become a hot topic due t...

16 Mingda Wu, et al. ∙

research

∙ 11/21/2019

Learning Spatial Fusion for Single-Shot Object Detection

Pyramidal feature representation is the common practice to address the c...

14 Songtao Liu, et al. ∙

Yunhong Wang

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