127 citations · 522 across the 32 of their papers we have counts for
8 papers · 1 filter
Hybrid Loss for Learning Single-Image-based HDR Reconstruction
Kenta Moriwaki, Ryota Yoshihashi, Rei Kawakami +2
This paper tackles high-dynamic-range (HDR) image reconstruction given only a single low-dynamic-range (LDR) image as input. While the existing methods focus on minimizing the mean…
Loss Guided Activation for Action Recognition in Still Images
Lu Liu, Robby T. Tan, Shaodi You
One significant problem of deep-learning based human action recognition is that it can be easily misled by the presence of irrelevant objects or backgrounds. Existing methods commo…
Classification-Reconstruction Learning for Open-Set Recognition
Ryota Yoshihashi, Wen Shao, Rei Kawakami +3
Open-set classification is a problem of handling `unknown' classes that are not contained in the training dataset, whereas traditional classifiers assume that only known classes ap…
Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks
Zhixiang Hao, Yu Li, Shaodi You +1
Convolutional Neural Networks have demonstrated superior performance on single image depth estimation in recent years. These works usually use stacked spatial pooling or strided co…
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
Xiang Wang, Shaodi You, Xi Li +1
Weakly-supervised semantic segmentation under image tags supervision is a challenging task as it directly associates high-level semantic to low-level appearance. To bridge this gap…
JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual Features
Hongru Liang, Haozheng Wang, Jun Wang +4
Learning social media content is the basis of many real-world applications, including information retrieval and recommendation systems, among others. In contrast with previous work…
Cross-connected Networks for Multi-task Learning of Detection and Segmentation
Seiichiro Fukuda, Ryota Yoshihashi, Rei Kawakami +3
Multi-task learning improves generalization performance by sharing knowledge among related tasks. Existing models are for task combinations annotated on the same dataset, while the…
Semantic Single-Image Dehazing
Ziang Cheng, Shaodi You, Viorela Ila +1
Single-image haze-removal is challenging due to limited information contained in one single image. Previous solutions largely rely on handcrafted priors to compensate for this defi…