Ryosuke Tanno

12 papers A* 2B 2Unranked 8
YearRankTypeTitle / Venue / Authors
2019 — conf
Image-Based Estimation of Real Food Size for Accurate Food Calorie Estimation.
MIPR
Takumi Ege, Yoshikazu Ando, Ryosuke Tanno, Wataru Shimoda, Keiji Yanai
2019 — conf
L1-Norm Gradient Penalty for Noise Reduction of Attribution Maps.
CVPR Workshops
Keisuke Kiritoshi, Ryosuke Tanno, Tomonori Izumitani
2018 B conf
AR DeepCalorieCam V2: food calorie estimation with CNN and AR-based actual size estimation.
VRST
Ryosuke Tanno, Takumi Ege, Keiji Yanai
2018 — conf
AR DeepCalorieCam: An iOS App for Food Calorie Estimation with Augmented Reality.
MMM (2)
Ryosuke Tanno, Takumi Ege, Keiji Yanai
2018 — conf
Food category transfer with conditional cycleGAN and a large-scale food image dataset.
MADiMa@IJCAI
Daichi Horita, Ryosuke Tanno, Wataru Shimoda, Keiji Yanai
2018 — conf
FoodChangeLens: CNN-Based Food Transformation on HoloLens.
AIVR
Shu Naritomi, Ryosuke Tanno, Takumi Ege, Keiji Yanai
2018 A* conf
Magical Rice Bowl: A Real-time Food Category Changer.
ACM Multimedia
Ryosuke Tanno, Daichi Horita, Wataru Shimoda, Keiji Yanai
2017 B conf
Conditional Fast Style Transfer Network.
ICMR
Keiji Yanai, Ryosuke Tanno
2017 — conf
DeepStyleCam: A Real-Time Style Transfer App on iOS.
MMM (2)
Ryosuke Tanno, Shin Matsuo, Wataru Shimoda, Keiji Yanai
2016 — conf
Caffe2C: A Framework for Easy Implementation of CNN-based Mobile Applications.
MobiQuitous (Adjunct Proceedings)
Ryosuke Tanno, Keiji Yanai
2016 — conf
DeepFoodCam: A DCNN-based Real-time Mobile Food Recognition System.
MADiMa @ ACM Multimedia
Ryosuke Tanno, Koichi Okamoto, Keiji Yanai
2016 A* conf
Efficient Mobile Implementation of A CNN-based Object Recognition System.
ACM Multimedia
Keiji Yanai, Ryosuke Tanno, Koichi Okamoto