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07/19/2023
NTIRE 2023 Quality Assessment of Video Enhancement Challenge
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhance...
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07/15/2023
Both Spatial and Frequency Cues Contribute to High-Fidelity Image Inpainting
Deep generative approaches have obtained great success in image inpainti...
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11/20/2019
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning
We propose a novel graph-driven generative model, that unifies multiple ...
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10/21/2019
Collaborative Filtering with A Synthetic Feedback Loop
We propose a novel learning framework for recommendation systems, assist...
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10/20/2019
An Optimal Transport Framework for Zero-Shot Learning
We present an optimal transport (OT) framework for generalized zero-shot...
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04/28/2019
Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines
This paper presents an improved scheme for the generation and adaption o...
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02/12/2019
A survey on Adversarial Attacks and Defenses in Text
Deep neural networks (DNNs) have shown an inherent vulnerability to adve...
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03/13/2018
Principal Component Analysis with Tensor Train Subspace
Tensor train is a hierarchical tensor network structure that helps allev...
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02/25/2018
Wide Compression: Tensor Ring Nets
Deep neural networks have demonstrated state-of-the-art performance in a...
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12/28/2017
Topic Compositional Neural Language Model
We propose a Topic Compositional Neural Language Model (TCNLM), a novel ...
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12/03/2017
Tensor Train Neighborhood Preserving Embedding
In this paper, we propose a Tensor Train Neighborhood Preserving Embeddi...
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10/15/2016
Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model
In this paper, we consider clustering data that is assumed to come from ...
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07/11/2016