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Cong Leng

4 papers hereh-index 192.7k citations39 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedExtremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM

80 citations · 95 across the 3 of their papers we have counts for

collaborators

4 papers

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…

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.CV2019★ 1 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…

cs.CV2017★ 80 cited

Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM

Cong Leng, Hao Li, Shenghuo Zhu +1

Although deep learning models are highly effective for various learning tasks, their high computational costs prohibit the deployment to scenarios where either memory or computatio…

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