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20172022
most citedExtremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM

80 citations · 142 across the 9 of their papers we have counts for

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7 papers · 1 filter

cs.CV20223 cited

AIM 2022 Challenge on Instagram Filter Removal: Methods and Results

Furkan Kınlı, Sami Menteş, Barış Özcan +30

This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive non-linear operations,…

cs.CV2021

Architecture Aware Latency Constrained Sparse Neural Networks

Tianli Zhao, Qinghao Hu, Xiangyu He +4

Acceleration of deep neural networks to meet a specific latency constraint is essential for their deployment on mobile devices. In this paper, we design an architecture aware laten…

cs.CV202016 cited

AIM 2020 Challenge on Learned Image Signal Processing Pipeline

Andrey Ignatov, Radu Timofte, Zhilu Zhang +36

This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to…

cs.CV202021 cited

BGGAN: Bokeh-Glass Generative Adversarial Network for Rendering Realistic Bokeh

Ming Qian, Congyu Qiao, Jiamin Lin +4

A photo captured with bokeh effect often means objects in focus are sharp while the out-of-focus areas are all blurred. DSLR can easily render this kind of effect naturally. Howeve…

cs.CV202014 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.CV20191 cited

A System-Level Solution for Low-Power Object Detection

Fanrong Li, Zitao Mo, Peisong Wang +8

Object detection has made impressive progress in recent years with the help of deep learning. However, state-of-the-art algorithms are both computation and memory intensive. Though…