research
∙
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...
share
research
∙
02/16/2023
Learning From Biased Soft Labels
Knowledge distillation has been widely adopted in a variety of tasks and...
research
∙
09/17/2022
Delving Globally into Texture and Structure for Image Inpainting
Image inpainting has achieved remarkable progress and inspired abundant ...
research
∙
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 ...
research
∙
03/08/2022
Graph Attention Transformer Network for Multi-Label Image Classification
Multi-label classification aims to recognize multiple objects or attribu...
research
∙
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-...
research
∙
05/11/2019
A Distributed Approach towards Discriminative Distance Metric Learning
Distance metric learning is successful in discovering intrinsic relation...
research
∙
08/22/2018
A Survey on Food Computing
Food is essential for human life and it is fundamental to the human expe...
research
∙
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...
research
∙
03/05/2016
Network Morphism
We present in this paper a systematic study on how to morph a well-train...
research
∙
05/07/2015
Jointly Modeling Embedding and Translation to Bridge Video and Language
Automatically describing video content with natural language is a fundam...
research
∙
12/20/2014
Visualizing and Comparing Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have achieved comparable error rate...
research
∙
03/14/2011
