4.4k citations · 24.2k across the 344 of their papers we have counts for
10 papers · 2 filters
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…
Joint Hierarchical Category Structure Learning and Large-Scale Image Classification
Yanyun Qu, Li Lin, Fumin Shen +4
We investigate the scalable image classification problem with a large number of categories. Hierarchical visual data structures are helpful for improving the efficiency and perform…
Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering
Zhou Yu, Jun Yu, Jianping Fan +1
Visual question answering (VQA) is challenging because it requires a simultaneous understanding of both the visual content of images and the textual content of questions. The appro…
A Compromise Principle in Deep Monocular Depth Estimation
Huan Fu, Mingming Gong, Chaohui Wang +1
Monocular depth estimation, which plays a key role in understanding 3D scene geometry, is fundamentally an ill-posed problem. Existing methods based on deep convolutional neural ne…