Fetching the paper…
Reading the bibliography…
Food computing is playing an increasingly important role in human daily life, and has found tremendous applications in guiding human behavior towards smart food consumption and healthy lifestyle.
Relations between two sets of variates
Harold Hotelling · 1936
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
Kernel independent component analysis
Francis R Bach and Michael I Jordan · 2002
Earlier work this paper cites.
Food pathogen detection
Carl A Batt · 2007
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
A food image recognition system with multiple kernel learning
Taichi Joutou and Keiji Yanai · 2009
Earlier work this paper cites.
Learning similarity function between objects in heterogeneous spaces
Wei Wu, Jun Xu, and Hang Li · 2010
Earlier work this paper cites.
Deep canonical correlation analysis
Galen Andrew, Raman Arora, Jeff Bilmes, and Karen Livescu · 2013
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Deep fragment embeddings for bidirectional image sentence mapping
Andrej Karpathy, Armand Joulin, and Li F Fei-Fei · 2014
Earlier work this paper cites.
Food image recognition with deep convolutional features
Yoshiyuki Kawano and Keiji Yanai · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Grounded compositional semantics for finding and describing images with sentences
Richard Socher, Andrej Karpathy, Quoc V Le, Christopher D Manning, and Andrew Y Ng · 2014
Earlier work this paper cites.
Deep compositional cross-modal learning to rank via local-global alignment
Xinyang Jiang, Fei Wu, Xi Li, Zhou Zhao, Weiming Lu, Siliang Tang, and Yueting Zhuang · 2015
Earlier work this paper cites.
Skip-thought vectors
Ryan Kiros, Yukun Zhu, Ruslan R Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, and Sanja Fidler · 2015
Earlier work this paper cites.
Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
Cited alongside, same era.
Food image recognition using deep convolutional network with pre-training and fine-tuning
Keiji Yanai and Yoshiyuki Kawano · 2015
Cited alongside, same era.
Adversarial training for sketch retrieval
Antonia Creswell and Anil Anthony Bharath · 2016
Cited alongside, same era.
Retrieval and classification of food images
Giovanni Maria Farinella, Dario Allegra, Marco Moltisanti, Filippo Stanco, and Sebastiano Battiato · 2016
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Deepfood: Deep learning-based food image recognition for computer-aided dietary assessment
Chang Liu, Yu Cao, Yan Luo, Guanling Chen, Vinod Vokkarane, and Yunsheng Ma · 2016
Cm-gans: Cross-modal generative adversarial networks for common representation learning
Yuxin Peng, Jinwei Qi, and Yuxin Yuan · 2017
Later among the works it cites.
Diet-right: A smart food recommendation system
Faisal Rehman, Osman Khalid, Kashif Bilal, Sajjad A Madani, et al · 2017
Later among the works it cites.
Kissing cuisines: Exploring worldwide culinary habits on the web
Sina Sajadmanesh, Sina Jafarzadeh, Seyed Ali Ossia, Hamid R Rabiee, Hamed Haddadi, Yelena Mejova, Mirco Musolesi, Emiliano De Cristofaro, and Gianluca Stringhini · 2017
Later among the works it cites.
Learning cross-modal embeddings for cooking recipes and food images
Amaia Salvador, Nicholas Hynes, Yusuf Aytar, Javier Marin, Ferda Ofli, Ingmar Weber, and Antonio Torralba · 2017
Later among the works it cites.
Adversarial cross-modal retrieval
Bokun Wang, Yang Yang, Xing Xu, Alan Hanjalic, and Heng Tao Shen · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Cross-modal recipe retrieval: How to cook this dish?
Jingjing Chen, Lei Pang, and Chong-Wah Ngo · 2017
Cited alongside, same era.
Learning cnn-based features for retrieval of food images
Gianluigi Ciocca, Paolo Napoletano, and Raimondo Schettini · 2017
Cited alongside, same era.
Image-based food calorie estimation using knowledge on food categories, ingredients and cooking directions
Takumi Ege and Keiji Yanai · 2017
Cited alongside, same era.
Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville · 2017
Cited alongside, same era.
In defense of the triplet loss for person re-identification
Alexander Hermans, Lucas Beyer, and Bastian Leibe · 2017
Cited alongside, same era.
Search for optimum color space for the recognition of oranges in agricultural fields
José Luis Hernández-Hernández, Mario Hernández-Hernández, Severino Feliciano-Morales, Valent · 2017
Cited alongside, same era.
Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, and Dimitris N Metaxas · 2017
Later among the works it cites.
Does journaling encourage healthier choices?: Analyzing healthy eating behaviors of food journalers
Palakorn Achananuparp, Ee-Peng Lim, and Vibhanshu Abhishek · 2018
Later among the works it cites.
Eat & tell: A randomized trial of random-loss incentive to increase dietary self-tracking compliance
Palakorn Achananuparp, Ee-Peng Lim, Vibhanshu Abhishek, and Tianjiao Yun · 2018
Later among the works it cites.
Cross-modal retrieval in the cooking context: Learning semantic text-image embeddings
Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, and Matthieu Cord · 2018
Later among the works it cites.
Recipescape: An interactive tool for analyzing cooking instructions at scale
Minsuk Chang, Léonore V Guillain, Hyeungshik Jung, Vivian M Hare, Juho Kim, and Maneesh Agrawala · 2018
Later among the works it cites.
Deep understanding of cooking procedure for cross-modal recipe retrieval
Jing-Jing Chen, Chong-Wah Ngo, Fu-Li Feng, and Tat-Seng Chua · 2018
Later among the works it cites.
Ahmed Fadhil · 2018
Later among the works it cites.
Cycada: Cycle-consistent adversarial domain adaptation
Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A Efros, and Trevor Darrell · 2018
Later among the works it cites.
Weiqing Min, Shuqiang Jiang, Linhu Liu, Yong Rui, and Ramesh Jain · 2018
Later among the works it cites.
An overview of cross-media retrieval: Concepts, methodologies, benchmarks, and challenges
Yuxin Peng, Xin Huang, and Yunzhen Zhao · 2018
Later among the works it cites.