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02/26/2023
Learning cross space mapping via DNN using large scale click-through logs
The gap between low-level visual signals and high-level semantics has be...
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02/16/2023
Learning From Biased Soft Labels
Knowledge distillation has been widely adopted in a variety of tasks and...
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09/17/2022
Delving Globally into Texture and Structure for Image Inpainting
Image inpainting has achieved remarkable progress and inspired abundant ...
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04/08/2022
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
Domain adaptation (DA) tries to tackle the scenarios when the test data ...
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03/08/2022
Graph Attention Transformer Network for Multi-Label Image Classification
Multi-label classification aims to recognize multiple objects or attribu...
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10/05/2021
HoloBoard: a Large-format Immersive Teaching Board based on pseudo HoloGraphics
In this paper, we present HoloBoard, an interactive large-format pseudo-...
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05/11/2019
A Distributed Approach towards Discriminative Distance Metric Learning
Distance metric learning is successful in discovering intrinsic relation...
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08/22/2018
A Survey on Food Computing
Food is essential for human life and it is fundamental to the human expe...
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12/05/2017
AI Oriented Large-Scale Video Management for Smart City: Technologies, Standards and Beyond
Deep learning has achieved substantial success in a series of tasks in c...
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03/05/2016
Network Morphism
We present in this paper a systematic study on how to morph a well-train...
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05/07/2015
Jointly Modeling Embedding and Translation to Bridge Video and Language
Automatically describing video content with natural language is a fundam...
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12/20/2014
Visualizing and Comparing Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have achieved comparable error rate...
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03/14/2011