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09/18/2023
HiT: Building Mapping with Hierarchical Transformers
Deep learning-based methods have been extensively explored for automatic...
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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...
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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...
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08/18/2023
RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Images
With the rapid development of the image generation technologies, the mal...
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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...
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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...
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03/17/2023
Denoising Diffusion Autoencoders are Unified Self-supervised Learners
Inspired by recent advances in diffusion models, which are reminiscent o...
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03/07/2023
Learning Discriminative Representations for Skeleton Based Action Recognition
Human action recognition aims at classifying the category of human actio...
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03/01/2023
BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction
Extracting building footprints from remote sensing images has been attra...
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02/07/2023
Heterophily-Aware Graph Attention Network
Graph Neural Networks (GNNs) have shown remarkable success in graph repr...
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12/08/2022
An Empirical Study on Multi-Domain Robust Semantic Segmentation
How to effectively leverage the plentiful existing datasets to train a r...
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10/24/2022
Binary Graph Convolutional Network with Capacity Exploration
The current success of Graph Neural Networks (GNNs) usually relies on lo...
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10/05/2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Recently, few-shot object detection (FSOD) has received much attention f...
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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-...
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09/23/2022
Relation Embedding based Graph Neural Networks for Handling Heterogeneous Graph
Heterogeneous graph learning has drawn significant attentions in recent ...
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07/20/2022
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles
Video Anomaly Detection (VAD) is an important topic in computer vision. ...
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05/08/2022
SparseTT: Visual Tracking with Sparse Transformers
Transformers have been successfully applied to the visual tracking task ...
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03/06/2022
PanFormer: a Transformer Based Model for Pan-sharpening
Pan-sharpening aims at producing a high-resolution (HR) multi-spectral (...
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01/13/2022
RealGait: Gait Recognition for Person Re-Identification
Human gait is considered a unique biometric identifier which can be acqu...
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12/15/2021
Segmentation-Reconstruction-Guided Facial Image De-occlusion
Occlusions are very common in face images in the wild, leading to the de...
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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...
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10/14/2021
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Though image-level weakly supervised semantic segmentation (WSSS) has ac...
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09/20/2021
Unsupervised Cycle-consistent Generative Adversarial Networks for Pan-sharpening
Deep learning based pan-sharpening has received significant research int...
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08/25/2021
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization
Differentiable ARchiTecture Search (DARTS) uses a continuous relaxation ...
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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...
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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...
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08/12/2021
Silhouette based View embeddings for Gait Recognition under Multiple Views
Gait recognition under multiple views is an important computer vision an...
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06/14/2021
Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction
Although much progress has been made recently in 3D face reconstruction,...
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06/14/2021
Pixel Sampling for Style Preserving Face Pose Editing
The existing auto-encoder based face pose editing methods primarily focu...
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05/10/2021
Visual Grounding with Transformers
In this paper, we propose a transformer based approach for visual ground...
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05/05/2021
Magnifying Subtle Facial Motions for Effective 4D Expression Recognition
In this paper, an effective pipeline to automatic 4D Facial Expression R...
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05/01/2021
A Perceptual Distortion Reduction Framework for Adversarial Perturbation Generation
Most of the adversarial attack methods suffer from large perceptual dist...
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04/01/2021
STMTrack: Template-free Visual Tracking with Space-time Memory Networks
Boosting performance of the offline trained siamese trackers is getting ...
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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...
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12/20/2020
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks
Hyperspectral image classification (HIC) is an important but challenging...
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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...
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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) ...
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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...
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10/15/2020
Bi-GCN: Binary Graph Convolutional Network
Graph Neural Networks (GNNs) have achieved tremendous success in graph r...
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09/11/2020
Variance Loss: A Confidence-Based Reweighting Strategy for Coarse Semantic Segmentation
Coarsely-labeled semantic segmentation annotations are easy to obtain, b...
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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...
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08/20/2020
Co-Saliency Detection with Co-Attention Fully Convolutional Network
Co-saliency detection aims to detect common salient objects from a group...
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07/18/2020
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection
Few-shot object detection (FSOD) helps detectors adapt to unseen classes...
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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...
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03/23/2020
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Recent years have witnessed great progress in deep learning based object...
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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...
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03/05/2020
Fake Generated Painting Detection via Frequency Analysis
With the development of deep neural networks, digital fake paintings can...
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02/14/2020
Counting dense objects in remote sensing images
Estimating accurate number of interested objects from a given image is a...
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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...
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11/21/2019
