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20162023
most citedFlorence: A New Foundation Model for Computer Vision

342 citations · 1.6k across the 49 of their papers we have counts for

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Showing 2018 · cs.CVShow all

7 papers · 2 filters

cs.CV2018★ 37 cited

Gated Context Aggregation Network for Image Dehazing and Deraining

Dongdong Chen, Mingming He, Qingnan Fan +5

Image dehazing aims to recover the uncorrupted content from a hazy image. Instead of leveraging traditional low-level or handcrafted image priors as the restoration constraints, e.…

cs.CV2018

CariGANs: Unpaired Photo-to-Caricature Translation

Kaidi Cao, Jing Liao, Lu Yuan

Facial caricature is an art form of drawing faces in an exaggerated way to convey humor or sarcasm. In this paper, we propose the first Generative Adversarial Network (GAN) for unp…

cs.CV2018

Decouple Learning for Parameterized Image Operators

Qingnan Fan, Dongdong Chen, Lu Yuan +3

Many different deep networks have been used to approximate, accelerate or improve traditional image operators, such as image smoothing, super-resolution and denoising. Among these…

cs.CV2018

Deep Exemplar-based Colorization

Mingming He, Dongdong Chen, Jing Liao +2

We propose the first deep learning approach for exemplar-based local colorization. Given a reference color image, our convolutional neural network directly maps a grayscale image t…

cs.CV2018

Arbitrary Style Transfer with Deep Feature Reshuffle

Shuyang Gu, Congliang Chen, Jing Liao +1

This paper introduces a novel method by reshuffling deep features (i.e., permuting the spacial locations of a feature map) of the style image for arbitrary style transfer. We theor…

cs.CV2018

Towards High Performance Video Object Detection for Mobiles

Xizhou Zhu, Jifeng Dai, Xingchi Zhu +2

Despite the recent success of video object detection on Desktop GPUs, its architecture is still far too heavy for mobiles. It is also unclear whether the key principles of sparse f…