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Publication search results
found 16 matches
- 2019
- Kiyoharu Aizawa:
FoodLog: Multimedia Food Recording Platform and its Application. MADiMa @ ACM Multimedia 2019: 32 - Yoshikazu Ando, Takumi Ege, Jaehyeong Cho, Keiji Yanai
:
DepthCalorieCam: A Mobile Application for Volume-Based FoodCalorie Estimation using Depth Cameras. MADiMa @ ACM Multimedia 2019: 76-81 - Takumi Ege, Wataru Shimoda, Keiji Yanai
:
A New Large-scale Food Image Segmentation Dataset and Its Application to Food Calorie Estimation Based on Grains of Rice. MADiMa @ ACM Multimedia 2019: 82-87 - Matthias Fontanellaz, Stergios Christodoulidis
, Stavroula G. Mougiakakou:
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. MADiMa @ ACM Multimedia 2019: 25-31 - Klaus Ludwig Fuchs
, Timothée Barattin, Mirella Haldimann, Alexander Ilic:
Towards Tailoring Digital Food Labels: Insights of a Smart-RCT on User-specific Interpretation of Food Composition Data. MADiMa @ ACM Multimedia 2019: 67-75 - Klaus Ludwig Fuchs
, Tobias Grundmann, Mirella Haldimann, Elgar Fleisch:
Impact of Mixed Reality Food Labels on Product Selection: Insights from a User Study using Headset-mediated Food Labels at a Vending Machine. MADiMa @ ACM Multimedia 2019: 7-16 - Daichi Horita, Wataru Shimoda, Keiji Yanai
:
Unseen Food Creation by Mixing Existing Food Images with Conditional StyleGAN. MADiMa @ ACM Multimedia 2019: 19-24 - Ramesh C. Jain:
Eat, Drink, and be Happy! MADiMa @ ACM Multimedia 2019: 17 - Mona Jalal
, Kaihong Wang, Sankara Jefferson, Yi Zheng, Elaine O. Nsoesie, Margrit Betke:
Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types. MADiMa @ ACM Multimedia 2019: 50-59 - Jiatong Li, Ricardo Guerrero, Vladimir Pavlovic
:
Deep Cooking: Predicting Relative Food Ingredient Amounts from Images. MADiMa @ ACM Multimedia 2019: 2-6 - Nitish Nag, Aditya Narendra Rao, Akash Kulhalli, Kushal Samir Mehta
, Nishant Bhattacharya, Pratul Ramkumar, Aditya Bharadwaj, Dinkar Sitaram, Ramesh C. Jain:
Flavour Enhanced Food Recommendation. MADiMa @ ACM Multimedia 2019: 60-66 - Yi Sen Ng, Wanqi Xue, Wei Wang, Panpan Qi:
Convolutional Neural Networks for Food Image Recognition: An Experimental Study. MADiMa @ ACM Multimedia 2019: 33-41 - Frederic Ronga:
Personalized Nutrition in the Connected Era: Challenges and Opportunities. MADiMa @ ACM Multimedia 2019: 1 - Karan Sikka:
Learning User Preferences from Social Multimedia Analysis and Overview of the iFood2019Challenge. MADiMa @ ACM Multimedia 2019: 18 - Yixin Zhang, Yoko Yamakata, Keishi Tajima:
Categorization of Cooking Actions Based on Textual/Visual Similarity. MADiMa @ ACM Multimedia 2019: 42-49 - Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai:
Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, MADiMa @ ACM Multimedia 2019, Nice, France, October 21-25, 2019. ACM 2019, ISBN 978-1-4503-6916-9 [contents]
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