activity
20172023
most citedFlorence: A New Foundation Model for Computer Vision

342 citations · 1.7k across the 89 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.CV2019

Single image reflection removal via learning with multi-image constraints

Yingda Yin, Qingnan Fan, Dongdong Chen +5

Reflections are very common phenomena in our daily photography, which distract people's attention from the scene behind the glass. The problem of removing reflection artifacts is i…

cs.CV2019★ 72 cited

Dynamic Convolution: Attention over Convolution Kernels

Yinpeng Chen, Xiyang Dai, Mengchen Liu +3

Light-weight convolutional neural networks (CNNs) suffer performance degradation as their low computational budgets constrain both the depth (number of convolution layers) and the…

cs.CV2019★ 2 cited

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once

Jiangfan Han, Xiaoyi Dong, Ruimao Zhang +5

Modern deep neural networks are often vulnerable to adversarial samples. Based on the first optimization-based attacking method, many following methods are proposed to improve the…

cs.CV2019★ 7 cited

A General Decoupled Learning Framework 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. Among these traditional operators, many contain parameters which need…

cs.CV2019★ 44 cited

Transductive Zero-Shot Learning with Visual Structure Constraint

Ziyu Wan, Dongdong Chen, Yan Li +4

To recognize objects of the unseen classes, most existing Zero-Shot Learning(ZSL) methods first learn a compatible projection function between the common semantic space and the vis…