4.4k citations · 24.2k across the 344 of their papers we have counts for
19 papers · 1 filter
Benchmarking Single Image Dehazing and Beyond
Boyi Li, Wenqi Ren, Dengpan Fu +4
We present a comprehensive study and evaluation of existing single image dehazing algorithms, using a new large-scale benchmark consisting of both synthetic and real-world hazy ima…
Saliency Preservation in Low-Resolution Grayscale Images
Shivanthan A. C. Yohanandan, Adrian G. Dyer, Dacheng Tao +1
Visual salience detection originated over 500 million years ago and is one of nature's most efficient mechanisms. In contrast, many state-of-the-art computational saliency models a…
Deep Sampling Networks
Bolun Cai, Xiangmin Xu, Kailing Guo +2
Deep convolutional neural networks achieve excellent image up-sampling performance. However, CNN-based methods tend to restore high-resolution results highly depending on tradition…
Variance Reduced methods for Non-convex Composition Optimization
Liu Liu, Ji Liu, Dacheng Tao
This paper explores the non-convex composition optimization in the form including inner and outer finite-sum functions with a large number of component functions. This problem aris…
Learning with Biased Complementary Labels
Xiyu Yu, Tongliang Liu, Mingming Gong +1
In this paper, we study the classification problem in which we have access to easily obtainable surrogate for true labels, namely complementary labels, which specify classes that o…
Duality-free Methods for Stochastic Composition Optimization
Liu Liu, Ji Liu, Dacheng Tao
We consider the composition optimization with two expected-value functions in the form of ,…