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09/18/2023
Collaborative Three-Stream Transformers for Video Captioning
As the most critical components in a sentence, subject, predicate and ob...
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08/16/2023
Unsupervised Domain Adaptive Detection with Network Stability Analysis
Domain adaptive detection aims to improve the generality of a detector, ...
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08/15/2023
AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes
Multi-object tracking (MOT) is a fundamental problem in computer vision ...
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08/15/2023
ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection
Effective feature fusion of multispectral images plays a crucial role in...
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07/19/2023
Divert More Attention to Vision-Language Object Tracking
Multimodal vision-language (VL) learning has noticeably pushed the tende...
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07/17/2023
Deficiency-Aware Masked Transformer for Video Inpainting
Recent video inpainting methods have made remarkable progress by utilizi...
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05/19/2023
MaGIC: Multi-modality Guided Image Completion
The vanilla image completion approaches are sensitive to the large missi...
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04/22/2023
Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers
Current arbitrary style transfer models are limited to either image or v...
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03/19/2023
CCTV-Gun: Benchmarking Handgun Detection in CCTV Images
Gun violence is a critical security problem, and it is imperative for th...
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03/14/2023
PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking
Planar object tracking is a critical computer vision problem and has dra...
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01/01/2023
Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment
Domain adaptive detection aims to improve the generalization of detector...
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11/19/2022
PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection
Automatic security inspection relying on computer vision technology is a...
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08/25/2022
High-Fidelity Image Inpainting with GAN Inversion
Image inpainting seeks a semantically consistent way to recover the corr...
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07/03/2022
Divert More Attention to Vision-Language Tracking
Relying on Transformer for complex visual feature learning, object track...
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04/30/2022
AnimalTrack: A Large-scale Benchmark for Multi-Animal Tracking in the Wild
Multi-animal tracking (MAT), a multi-object tracking (MOT) problem, is c...
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12/02/2021
SwinTrack: A Simple and Strong Baseline for Transformer Tracking
Transformer has recently demonstrated clear potential in improving visua...
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10/19/2021
Osteoporosis Prescreening using Panoramic Radiographs through a Deep Convolutional Neural Network with Attention Mechanism
Objectives. The aim of this study was to investigate whether a deep conv...
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07/19/2021
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer...
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11/25/2020
CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking
High quality object proposals are crucial in visual tracking algorithms ...
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11/21/2020
Transparent Object Tracking Benchmark
Visual tracking has achieved considerable progress in recent years. Howe...
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09/08/2020
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
Despite great recent advances in visual tracking, its further developmen...
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12/15/2019
Semantic-Aware Label Placement for Augmented Reality in Street View
In an augmented reality (AR) application, placing labels in a manner tha...
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11/18/2019
TracKlinic: Diagnosis of Challenge Factors in Visual Tracking
Generic visual tracking is difficult due to many challenge factors (e.g....
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10/25/2019
ClsGAN: Selective Attribute Editing Based On Classification Adversarial Network
Attribution editing has shown remarking progress by the incorporating of...
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04/16/2019
Clustered Object Detection in Aerial Images
Detecting objects in aerial images is challenging for at least two reaso...
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02/21/2019
Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment
Recent progresses in model-free single object tracking (SOT) algorithms ...
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12/14/2018
Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking
Region proposal networks (RPN) have been recently combined with the Siam...
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11/09/2018
Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection
Recurrent neural networks (RNNs) have shown the ability to improve scene...
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09/20/2018
LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking
In this paper, we present LaSOT, a high-quality benchmark for Large-scal...
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05/15/2018
Robust and Efficient Graph Correspondence Transfer for Person Re-identification
Spatial misalignment caused by variations in poses and viewpoints is one...
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04/01/2018
Graph Correspondence Transfer for Person Re-identification
In this paper, we propose a graph correspondence transfer (GCT) approach...
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03/22/2018
Weighted Bilinear Coding over Salient Body Parts for Person Re-identification
Deep convolutional neural networks (CNNs) have demonstrated dominant per...
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01/30/2018
Parallel Tracking and Verifying
Being intensively studied, visual object tracking has witnessed great ad...
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01/21/2018
Dense Recurrent Neural Networks for Scene Labeling
Recently recurrent neural networks (RNNs) have demonstrated the ability ...
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09/06/2017
Unsupervised Generative Modeling Using Matrix Product States
Generative modeling, which learns joint probability distribution from tr...
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08/01/2017
Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking
Being intensively studied, visual tracking has seen great recent advance...
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11/21/2016
SANet: Structure-Aware Network for Visual Tracking
Convolutional neural network (CNN) has drawn increasing interest in visu...
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07/08/2016
