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08/24/2023
SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection
Multi-modal fusion is increasingly being used for autonomous driving tas...
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07/26/2023
Neural-based Cross-modal Search and Retrieval of Artwork
Creating an intelligent search and retrieval system for artwork images, ...
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07/26/2023
Boon: A Neural Search Engine for Cross-Modal Information Retrieval
Visual-Semantic Embedding (VSE) networks can help search engines better ...
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04/16/2023
Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and Evaluation
Recently, significant public efforts have been directed towards developi...
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03/14/2023
Exploring ChatGPT's Ability to Rank Content: A Preliminary Study on Consistency with Human Preferences
As a natural language assistant, ChatGPT is capable of performing variou...
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02/13/2023
CLIP-RR: Improved CLIP Network for Relation-Focused Cross-Modal Information Retrieval
Relation-focused cross-modal information retrieval focuses on retrieving...
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11/11/2022
Multi-modal Fusion Technology based on Vehicle Information: A Survey
Multi-modal fusion is a basic task of autonomous driving system percepti...
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10/13/2022
Partial Tail-Correlation Coefficient Applied to Extremal-Network Learning
We propose a novel extremal dependence measure called the partial tail-c...
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10/10/2022
Semantically Enhanced Hard Negatives for Cross-modal Information Retrieval
Visual Semantic Embedding (VSE) aims to extract the semantics of images ...
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06/22/2022
Flexible Modeling of Multivariate Spatial Extremes
We develop a novel multi-factor copula model for multivariate spatial ex...
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12/30/2021
A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes
Motivated by the Extreme Value Analysis 2021 (EVA 2021) data challenge w...
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06/25/2021
A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection
Ultrasound scanning is essential in several medical diagnostic and thera...
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10/01/2019
Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods
Cardiotoxicity related to cancer therapies has become a serious issue, d...
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05/13/2019