5 citations · 23 across the 23 of their papers we have counts for
31 papers
Dual-Pixel Raindrop Removal
Yizhou Li, Yusuke Monno, Masatoshi Okutomi
Removing raindrops in images has been addressed as a significant task for various computer vision applications. In this paper, we propose the first method using a Dual-Pixel (DP) s…
Two-Step Color-Polarization Demosaicking Network
Vy Nguyen, Masayuki Tanaka, Yusuke Monno +1
Polarization information of light in a scene is valuable for various image processing and computer vision tasks. A division-of-focal-plane polarimeter is a promising approach to ca…
Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot Projection
Chunyu Li, Yusuke Monno, Masatoshi Okutomi
Depth reconstruction and hyperspectral reflectance reconstruction are two active research topics in computer vision and image processing. Conventionally, these two topics have been…
Self-Supervised Ego-Motion Estimation Based on Multi-Layer Fusion of RGB and Inferred Depth
Zijie Jiang, Hajime Taira, Naoyuki Miyashita +1
In existing self-supervised depth and ego-motion estimation methods, ego-motion estimation is usually limited to only leveraging RGB information. Recently, several methods have bee…
Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM
Yizhou Li, Yusuke Monno, Masatoshi Okutomi
Single image deraining is typically addressed as residual learning to predict the rain layer from an input rainy image. For this purpose, an encoder-decoder network draws wide atte…
Learning-Based Depth and Pose Estimation for Monocular Endoscope with Loss Generalization
Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi +3
Gastroendoscopy has been a clinical standard for diagnosing and treating conditions that affect a part of a patient's digestive system, such as the stomach. Despite the fact that g…