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09/14/2023
Gradient constrained sharpness-aware prompt learning for vision-language models
This paper targets a novel trade-off problem in generalizable prompt lea...
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09/06/2023
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning
Patients undergoing chest X-rays (CXR) often endure multiple lung diseas...
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07/22/2023
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering
To contribute to automating the medical vision-language model, we propos...
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07/05/2023
Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions
In this paper, we study linear regression applied to data structured on ...
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11/03/2022
Unified Multi-View Orthonormal Non-Negative Graph Based Clustering Framework
Spectral clustering is an effective methodology for unsupervised learnin...
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08/13/2022
Memory Efficient Temporal Visual Graph Model for Unsupervised Video Domain Adaptation
Existing video domain adaption (DA) methods need to store all temporal c...
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11/25/2019
Nearest Neighbor Sampling of Point Sets using Random Rays
We propose a new framework for the sampling, compression, and analysis o...
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09/27/2019
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups
In recommender systems, the user-item interaction data is usually sparse...
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07/16/2019
Deep inspection: an electrical distribution pole parts study via deep neural networks
Electrical distribution poles are important assets in electricity supply...
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10/17/2016
What is the Best Way for Extracting Meaningful Attributes from Pictures?
Automatic attribute discovery methods have gained in popularity to extra...
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02/21/2016
Determining the best attributes for surveillance video keywords generation
Automatic video keyword generation is one of the key ingredients in redu...
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02/05/2016