activity
20172023
most citedAdaptive Context-Aware Multi-Modal Network for Depth Completion

175 citations · 280 across the 22 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CV2020★ 14 cited

AIM 2020: Scene Relighting and Illumination Estimation Challenge

Majed El Helou, Ruofan Zhou, Sabine Süsstrunk +34

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 propos…

cs.CV2020★ 20 cited

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Pengxu Wei, Hannan Lu, Radu Timofte +68

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 ch…

eess.IV2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Kai Zhang, Martin Danelljan, Yawei Li +75

This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…

cs.CV2020★ 5 cited

AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results

Dario Fuoli, Zhiwu Huang, Shuhang Gu +23

This paper reviews the video extreme super-resolution challenge associated with the AIM 2020 workshop at ECCV 2020. Common scaling factors for learned video super-resolution (VSR)…

cs.CV2020★ 2 cited

Short-Term and Long-Term Context Aggregation Network for Video Inpainting

Ang Li, Shanshan Zhao, Xingjun Ma +5

Video inpainting aims to restore missing regions of a video and has many applications such as video editing and object removal. However, existing methods either suffer from inaccur…

cs.CV2020★ 175 cited

Adaptive Context-Aware Multi-Modal Network for Depth Completion

Shanshan Zhao, Mingming Gong, Huan Fu +1

Depth completion aims to recover a dense depth map from the sparse depth data and the corresponding single RGB image. The observed pixels provide the significant guidance for the r…

eess.IV2020★ 5 cited

UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results

Yuqian Zhou, Michael Kwan, Kyle Tolentino +42

This paper is the report of the first Under-Display Camera (UDC) image restoration challenge in conjunction with the RLQ workshop at ECCV 2020. The challenge is based on a newly-co…