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04/06/2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning
We propose a unified look at jointly learning multiple vision tasks and ...
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11/29/2021
Learning Multiple Dense Prediction Tasks from Partially Annotated Data
Despite the recent advances in multi-task learning of dense prediction p...
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07/01/2021
Improving Task Adaptation for Cross-domain Few-shot Learning
In this paper, we look at the problem of cross-domain few-shot classific...
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03/25/2021
Universal Representation Learning from Multiple Domains for Few-shot Classification
In this paper, we look at the problem of few-shot classification that ai...
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07/20/2020
MINI-Net: Multiple Instance Ranking Network for Video Highlight Detection
We address the weakly supervised video highlight detection problem for l...
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07/14/2020
Knowledge Distillation for Multi-task Learning
Multi-task learning (MTL) is to learn one single model that performs mul...
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04/16/2020
Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection
Important people detection is to automatically detect the individuals wh...
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12/22/2019
Learning to Impute: A General Framework for Semi-supervised Learning
Recent semi-supervised learning methods have shown to achieve comparable...
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05/30/2019
Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks
Visible watermark plays an important role in image copyright protection ...
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04/07/2019
Learning to Learn Relation for Important People Detection in Still Images
Humans can easily recognize the importance of people in social event ima...
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11/09/2017
One-pass Person Re-identification by Sketch Online Discriminant Analysis
Person re-identification (re-id) is to match people across disjoint came...
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11/06/2017