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Chapter and Conference Paper
FunnyNet: Audiovisual Learning of Funny Moments in Videos
Automatically understanding funny moments (i.e., the moments that make people laugh) when watching comedy is challenging, as they relate to various features, such as facial expression, body language, dialogues...
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Chapter and Conference Paper
Deep Relighting Networks for Image Light Source Manipulation
Manipulating the light source of given images is an interesting task and useful in various applications, including photography and cinematography. Existing methods usually require additional information like t...
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Chapter and Conference Paper
AIM 2020 Challenge on Image Extreme Inpainting
This paper reviews the AIM 2020 challenge on extreme image inpainting. This report focuses on proposed solutions and results for two different tracks on extreme image inpainting: classical image inpainting and...
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Chapter and Conference Paper
DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting
The degree of difficulty in image inpainting depends on the types and sizes of the missing parts. Existing image inpainting approaches usually encounter difficulties in completing the missing parts in the wild...
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Chapter and Conference Paper
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This challenge involves three tracks...
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Chapter and Conference Paper
AIM 2020: Scene Relighting and Illumination Estimation Challenge
We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different proposed solutions and final evalu...
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Chapter and Conference Paper
Weighted Interval-Valued Belief Structures on Atanassov’s Intuitionistic Fuzzy Sets
The Dempster–Shafer (D–S) theory of evidence provides a powerful tool for combination of uncertainty information, and has been extensively applied to deal with uncertainty and vagueness. This paper shows a new...