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11/14/2022
IFQA: Interpretable Face Quality Assessment
Existing face restoration models have relied on general assessment metri...
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10/14/2022
Lightweight Alpha Matting Network Using Distillation-Based Channel Pruning
Recently, alpha matting has received a lot of attention because of its u...
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09/13/2022
Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation
Recently, there has been growing attention on an end-to-end deep learnin...
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07/03/2020
Domain Adaptation without Source Data
Domain adaptation assumes that samples from source and target domains ar...
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03/09/2020
Restore from Restored: Video Restoration with Pseudo Clean Video
In this paper, we propose a self-supervised video denoising method calle...
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03/09/2020
Restore from Restored: Single Image Denoising with Pseudo Clean Image
Under certain statistical assumptions of noise (e.g., zero-mean noise), ...
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01/09/2020
Fast Adaptation to Super-Resolution Networks via Meta-Learning
Conventional supervised super-resolution (SR) approaches are trained wit...
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01/09/2020
Self-Supervised Fast Adaptation for Denoising via Meta-Learning
Under certain statistical assumptions of noise, recent self-supervised a...
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08/21/2019
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation
In this paper, we investigate the problem of unpaired video-to-video tra...
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06/18/2019
Key Instance Selection for Unsupervised Video Object Segmentation
This paper proposes key instance selection based on video saliency cover...
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11/24/2018
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles
Self-supervised tasks such as colorization, inpainting and zigsaw puzzle...
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11/24/2018
Discriminative Feature Learning for Unsupervised Video Summarization
In this paper, we address the problem of unsupervised video summarizatio...
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11/15/2018
LinkNet: Relational Embedding for Scene Graph
Objects and their relationships are critical contents for image understa...
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02/06/2018
Learning Image Representations by Completing Damaged Jigsaw Puzzles
In this paper, we explore methods of complicating self-supervised tasks ...
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08/09/2017
Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting
This paper proposes a weakly- and self-supervised deep convolutional neu...
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08/07/2017
