Efficient mobile implementation of a cnn-based object recognition system K Yanai, R Tanno, K Okamoto Proceedings of the 24th ACM international conference on Multimedia, 362-366, 2016 | 92 | 2016 |
DeepFoodCam: A DCNN-based real-time mobile food recognition system R Tanno, K Okamoto, K Yanai Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary …, 2016 | 72 | 2016 |
Image-based estimation of real food size for accurate food calorie estimation T Ege, Y Ando, R Tanno, W Shimoda, K Yanai 2019 IEEE conference on multimedia information processing and retrieval …, 2019 | 54 | 2019 |
AR DeepCalorieCam V2: Food calorie estimation with cnn and ar-based actual size estimation R Tanno, T Ege, K Yanai Proceedings of the 24th ACM Symposium on Virtual Reality Software and …, 2018 | 28 | 2018 |
Conditional fast style transfer network K Yanai, R Tanno Proceedings of the 2017 ACM on International Conference on Multimedia …, 2017 | 26 | 2017 |
Food category transfer with conditional cyclegan and a large-scale food image dataset D Horita, R Tanno, W Shimoda, K Yanai Proceedings of the Joint Workshop on Multimedia for Cooking and Eating …, 2018 | 25 | 2018 |
Deepstylecam: A real-time style transfer app on ios R Tanno, S Matsuo, W Shimoda, K Yanai MultiMedia Modeling: 23rd International Conference, MMM 2017, Reykjavik …, 2017 | 13 | 2017 |
FoodChangeLens: CNN-based food transformation on HoloLens S Naritomi, R Tanno, T Ege, K Yanai 2018 IEEE International Conference on Artificial Intelligence and Virtual …, 2018 | 12 | 2018 |
Magical rice bowl: A real-time food category changer R Tanno, D Horita, W Shimoda, K Yanai Proceedings of the 26th ACM international conference on Multimedia, 1244-1246, 2018 | 8 | 2018 |
AR DeepCalorieCam: An iOS App for Food Calorie Estimation with Augmented Reality R Tanno, T Ege, K Yanai International Conference on Multimedia Modeling, 352-356, 2018 | 7 | 2018 |
L1-Norm Gradient Penalty for Noise Reduction of Attribution Maps. K Kiritoshi, R Tanno, T Izumitani Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 6 | 2019 |
Caffe2c: a framework for easy implementation of cnn-based mobile applications R Tanno, K Yanai Adjunct Proceedings of the 13th International Conference on Mobile and …, 2016 | 6 | 2016 |
CNN による複数品食事画像の同時カロリー推定とそのモバイル実装 會下拓実, 丹野良介, 柳井啓司 研究報告データベースシステム (DBS) 2017 (11), 1-6, 2017 | 1 | 2017 |
Estimating device, estimating method, and estimating program R Tanno, S Asano US Patent 12,183,000, 2024 | | 2024 |
Information processing device, information processing method, and information processing program K Kiritoshi, K Ito, M Naito, M Ogawa, R Tanno, Y Sakamoto, D Ozawa US Patent App. 18/434,894, 2024 | | 2024 |
Learning device, learning method, and learning program M Yuki, R Tanno, K Kiritoshi US Patent App. 17/711,034, 2022 | | 2022 |
Learning device, learning method, and learning program R Tanno, S Asano US Patent App. 17/711,030, 2022 | | 2022 |
Computing device, computing method, and computing program R Tanno, S Asano, K Koyama US Patent App. 17/709,418, 2022 | | 2022 |
Learning device, extraction device, learning method, extraction method, learning program, and extraction program K Kiritoshi, T Izumitani, R Tanno US Patent App. 17/547,249, 2022 | | 2022 |
物体検出タスクに対する教師なしセグメンテーションモデルを用いた画像データ拡張手法 市川裕人, 島田健一郎, 丹野良介, 泉谷知範 人工知能学会全国大会論文集 第 36 回 (2022), 1O4GS702-1O4GS702, 2022 | | 2022 |