Workshop Program | 5th International Workshop on Multimedia Assisted Dietary Management

09:20	09:30	Workshop opening and welcome
09:30	10:00	Invited Speaker: Frederic Ronga Nestlé Research Center, Lausanne, Switzerland Personalized Nutrition in the connected era: challenges and opportunities
10:00	10:15	Deep Cooking: Predicting Food Ingredient Amounts from Images Jiatong Li (Rutgers University); Ricardo Guerrero (Samsung AI Center); Vladimir Pavlovic (Rutgers University)
10:15	10:30	Impact of Mixed Reality Food Labels on Product Selection: Insights from a User Study using Headset-mediated Food Labels at a Vending Machine Klaus Fuchs (ETH Zurich); Tobias Grundmann (ETH Zurich); Mirella Haldimann (ETH Zurich);Elgar Fleisch (ETH Zurich)
10:30	11:00	Coffee Break
11:00	11:30	Invited Speaker: Ramesh Jain University of California, USA and Peng Cheng Lab, China Eat, Drink and be Happy
11:30	12:00	Invited Speaker: Karan Sikka SRI International, USA Learning User Preferences from Social Multimedia Analysis and Overview of the iFood2019 Challenge
12:00	12:15	Unseen Food Creation by Mixing Existing Food Images with Conditional StyleGAN Daichi Horita (The University of Electro-Communications); Wataru Shimoda (The University of Electro-Communications); Keiji Yanai (The University of Electro-Communications)
12:15	12:30	Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries Matthias Fontanellaz (ARTORG Center for Biomedical Engineering Research); Stergios Christodoulidis (ARTORG Center for Biomedical Engineering Research); Stavroula Mougiakakou (ARTORG Center for Biomedical Engineering Research)
12:30	14:00	Lunch Break
14:00	14:30	Invited Speaker: Kiyoharu Aizawa The University of Tokyo, Japan FoodLog: Multimedia Food Recording Platform and its Application for Athletes’ Nutrition Management
14:30	14:45	Convolutional Neural Networks for Food Image Recognition: An Experimental Study Yi Sen Ng (National University of Singapore); Wanqi Xue (National University of Singapore); Wei Wang (National University of Singapore); Panpan Qi (National University of Singapore)
14:45	15:00	Categorization of Cooking Actions Based on Visual Similarity Yixin Zhang (Kyoto University); Yoko Yamakata (The University of Tokyo);Keishi Tajima (Kyoto University)
15:00	15:15	Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types Mona Jalal (Boston University); Kaihong Wang (Boston University); Jefferson Sankara (Lori Systems); Yi Zheng (Boston University); Elaine O. Nsoesie (Boston University); Margrit Betke (Boston University)
15:15	15:30	Flavour Enhanced Food Recommendation Nitish Nag (University of California, Irvine); Aditya Narendra Rao (PES University, Bangalore); Akash Kulhalli (PES University, Bangalore); Kushal Samir Mehta (PES University, Bangalore); Nishant Bhattacharya (PES University, Bangalore); Pratul Ramkumar, Aditya Bharadwaj (PES University, Bangalore); Dinkar Sitaram (PES University, Bangalore); Ramesh Jain (University of California, Irvine)
15:30	16:00	Coffee break
16:00	17:30	Poster & Demo Session
		Towards Tailoring Digital Food Labels: Insights of a Smart-RCT on User-specific Interpretation of Food Composition Data Klaus Fuchs (ETH Zurich); Timothée Barattin (ETH Zurich); Mirella Haldimann (ETH Zurich); Alexander Ilic (ETH Zurich)
		DepthCalorieCam: A Mobile Application for Volume-Based FoodCalorie Estimation using Depth Cameras Yoshikazu Ando (The University of Electro-Communications); Takumi Ege (The University of Electro-Communications); Jaehyeong Cho (The University of Electro-Communications); Keiji Yanai (The University of Electro-Communications)
		A New Large-scale Food Image Segmentation Dataset and Its Application to Food Calorie Estimation Based on Grains of Rice Takumi Ege (The University of Electro-Communications); Wataru Shimoda (The University of Electro-Communications); Keiji Yanai (The University of Electro-Communications)
		Deep Cooking: Predicting Food Ingredient Amounts from Images Jiatong Li (Rutgers University); Ricardo Guerrero (Samsung AI Center); Vladimir Pavlovic (Rutgers University)
		Impact of Mixed Reality Food Labels on Product Selection: Insights from a User Study using Headset-mediated Food Labels at a Vending Machine Klaus Fuchs (ETH Zurich); Tobias Grundmann (ETH Zurich); Mirella Haldimann (ETH Zurich);Elgar Fleisch (ETH Zurich)
		Unseen Food Creation by Mixing Existing Food Images with Conditional StyleGAN Daichi Horita (The University of Electro-Communications); Wataru Shimoda (The University of Electro-Communications); Keiji Yanai (The University of Electro-Communications)
		Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries Matthias Fontanellaz (ARTORG Center for Biomedical Engineering Research);Stergios Christodoulidis(ARTORG Center for Biomedical Engineering Research); Stavroula Mougiakakou (ARTORG Center for Biomedical Engineering Research)
		Convolutional Neural Networks for Food Image Recognition: An Experimental Study Yi Sen Ng (National University of Singapore); Wanqi Xue (National University of Singapore); Wei Wang (National University of Singapore); Panpan Qi (National University of Singapore)
		Categorization of Cooking Actions Based on Visual Similarity Yixin Zhang (Kyoto University); Yoko Yamakata (The University of Tokyo);Keishi Tajima (Kyoto University)
		Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types Mona Jalal (Boston University); Kaihong Wang (Boston University); Jefferson Sankara (Lori Systems); Yi Zheng (Boston University); Elaine O. Nsoesie (Boston University); Margrit Betke (Boston University)
		Flavour Enhanced Food Recommendation Nitish Nag (University of California, Irvine); Aditya Narendra Rao (PES University, Bangalore); Akash Kulhalli (PES University, Bangalore); Kushal Samir Mehta (PES University, Bangalore); Nishant Bhattacharya (PES University, Bangalore); Pratul Ramkumar, Aditya Bharadwaj (PES University, Bangalore); Dinkar Sitaram (PES University, Bangalore); Ramesh Jain (University of California, Irvine)
		Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition (INVITED – ACM MM2019) Weiqing Min (Chinese Academy of Sciences); Linhu Liu (Chinese Academy of Sciences); Zhengdong Luo (Chinese Academy of Sciences); Shuqiang Jiang (Chinese Academy of Sciences)
		Learning Using Privileged Information for Food Recognition (INVITED – ACM MM2019) Lei Meng (National University of Singapore, Singapore); Long Chen (Zhejiang University); Xun Yang (National University of Singapore, Singapore); Hanwang Zhang (Nanyang Technological University, Singapore); Dacheng Tao (The University of Sydney); Chunyan Miao (Nanyang Technological University, Singapore); Tat-Seng Chua (National University of Singapore, Singapore)
		Mixed-dish Recognition with Contextual Relation Networks (INVITED – ACM MM2019) Lixi Deng (Institute of Computing Technology, Chinese Academy of Sciences); Jingjing Chen (National University of Singapore); Qianru Sun (National University of Singapore); Xiangnan He (University of Science and Technology of China); Sheng Tang (Institute of Computing Technology, Chinese Academy of Sciences); Zhaoyan Ming (National University of Singapore); Yongdong Zhang (Institute of Computing Technology, Chinese Academy of Sciences); Tat Seng Chua (National University of Singapore)
		DEMO: goFOOD™ for Dietary Assessment Ya Lu (University of Bern, Switzerland); Thomai Stathopoulou (University of Bern, Switzerland); Stavroula Mougiakakou (University of Bern, Switzerland)
		DEMO: For a Dietitian Nutrition Management App: FoodLog Athlete Miyuki Kawarada (The University of Tokyo, Japan); Hiroaki Karasawa (The University of Tokyo, Japan); Sosuke Amano (The University of Tokyo, Japan); Yoko Yamakata (The University of Tokyo, Japan); Kiyoharu Aizawa (The University of Tokyo, Japan)
		DEMO: Cookpad Image To Recipe Ryan Fox (Cookpad Ltd, UK); Mikhail Fain (Cookpad Ltd, UK); Andrey Ponikar (Cookpad Ltd, UK); Daniel Fernandez (Cookpad Ltd, UK)
		DEMO: A Cooking Support System by Extracting Difficult Scenes for Cooking Operations from Recipe Short Videos (INVITED – ACM MM2019) Takuya Yonezawa (Kwansei Gakuin University, Japan); Yuanyuan Wang (Yamaguchi University, Japan); Yukiko Kawai (Kyoto Sangyo University, Japan); Kazutoshi Sumiya (Kwansei Gakuin University, Japan)
		DEMO: Ramen as You Like: Sketch-based Food Image Generation and Editing (INVITED – ACM MM2019) Jaehyeong Cho (The University of Electro-Communications, Japan); Wataru Shimoda (The University of Electro-Communications, Japan); Keiji Yanai (The University of Electro-Communications, Japan)