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06/29/2023
Exploring Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion
Sparse knowledge graph (KG) scenarios pose a challenge for previous Know...
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03/28/2023
Deformable Kernel Expansion Model for Efficient Arbitrary-shaped Scene Text Detection
Scene text detection is a challenging computer vision task due to the hi...
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02/04/2023
X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification
Currently, most existing person re-identification methods use Instance-L...
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09/22/2022
Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization
Existing detection methods commonly use a parameterized bounding box (BB...
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08/17/2022
Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning
Scene graph generation (SGG) is a fundamental task aimed at detecting vi...
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07/04/2022
VEM^2L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion
Knowledge Graph Completion has been widely studied recently to complete ...
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05/06/2022
A High-Accuracy Unsupervised Person Re-identification Method Using Auxiliary Information Mined from Datasets
Supervised person re-identification methods rely heavily on high-quality...
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04/02/2022
A Free Lunch to Person Re-identification: Learning from Automatically Generated Noisy Tracklets
A series of unsupervised video-based re-identification (re-ID) methods h...
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12/28/2021
TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification
Nowadays, real data in person re-identification (ReID) task is facing pr...
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08/20/2021
Unsupervised Domain-adaptive Hash for Networks
Abundant real-world data can be naturally represented by large-scale net...
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08/20/2021
Semi-supervised Network Embedding with Differentiable Deep Quantisation
Learning accurate low-dimensional embeddings for a network is a crucial ...
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08/19/2021
Semantic Compositional Learning for Low-shot Scene Graph Generation
Scene graphs provide valuable information to many downstream tasks. Many...
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08/19/2021
Exploiting Scene Graphs for Human-Object Interaction Detection
Human-Object Interaction (HOI) detection is a fundamental visual task ai...
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08/18/2021
The Multi-Modal Video Reasoning and Analyzing Competition
In this paper, we introduce the Multi-Modal Video Reasoning and Analyzin...
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08/05/2021
A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective
Objective: We develop a computer-aided diagnosis (CAD) system using deep...
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06/13/2020
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation
Despite the huge progress in scene graph generation in recent years, its...
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04/28/2020
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing
Small and cluttered objects are common in real-world which are challengi...
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07/01/2019
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network
With the recent explosive increase of digital data, image recognition an...
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03/04/2019
Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer
The computer-aided detection (CADe) systems are developed to assist path...
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07/07/2017
Deep Discrete Hashing with Self-supervised Pairwise Labels
Hashing methods have been widely used for applications of large-scale im...
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01/26/2017
