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] . Snap a photo, get a recipe: pic2recipe uses AI to predict food ingredients. Digital Trends; 2017.
. MIT is building a system that can identify a recipe using pictures of food. Techcrunch; 2017.
. Artificial intelligence suggests recipes based on food photos. Boston: MIT News; 2017.
. Computer Vision beyond the visible: Image understanding through language. . Signal Theory and Communications. [Barcelona]: Universitat Politecnica de Catalunya; 2019.
. Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks. . 2016. 
(27.84 MB)
(27.84 MB). Speech-conditioned Face Generation with Deep Adversarial Networks. . 2018. (1.79 MB)
(1.79 MB). Region-oriented Convolutional Networks for Object Retrieval. . 2015. (8.02 MB)
(8.02 MB). Rapid Serial Visual Presentation for Relevance Feedback in Image Retrieval with EEG Signals. . 2015. (1.38 MB)
(1.38 MB). Object Tracking in Video with TensorFlow. . 2016. (22.63 MB)
(22.63 MB). Layer-wise CNN Surgery for Visual Sentiment Prediction. . 2015. (1.51 MB)
(1.51 MB). Fine-tuning a Convolutional Network for Cultural Event Recognition. . 2015. (11.14 MB)
(11.14 MB). Exploiting User Interaction and Object Candidates for Instance Retrieval and Object Segmentation. . 2014. (8.97 MB)
(8.97 MB). Crowdsourced Object Segmentation with a Game. . 2013. (1.34 MB)
(1.34 MB). Co-filtering human interaction and object segmentation. . 2015. (1.82 MB)
(1.82 MB). Mask-guided sample selection for Semi-Supervised Instance Segmentation. Multimedia Tools and Applications. 2020;. (2.2 MB)
(2.2 MB). Assessment of Crowdsourcing and Gamification Loss in User-Assisted Object Segmentation. Multimedia Tools and Applications. 2016;23(75). (5.05 MB)
(5.05 MB). Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks. In ICASSP. Brighton, UK: IEEE; 2019. (4.42 MB)
(4.42 MB). Temporal-aware Cross-modal Embeddings for Video and Audio Retrieval. In NIPS 2017 Women in Machine Learning Workshop (WiML). Long Beach, CA, USA: NIPS 2017 Women in Machine Learning Workshop; 2017. (155.1 KB)
(155.1 KB). Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks. In 1st NIPS Workshop on Large Scale Computer Vision Systems 2016. 2016. (5.66 MB)
(5.66 MB). RVOS: End-to-End Recurrent Network for Video Object Segmentation. In CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019. (5.76 MB)
(5.76 MB). Recurrent Semantic Instance Segmentation. In NIPS 2017 Women in Machine Learning Workshop (WiML). Long Beach, CA, USA: NIPS 2017 Women in Machine Learning Workshop; 2017. (1.15 MB)
(1.15 MB). Recurrent Neural Networks for Semantic Instance Segmentation. In CVPR 2018 DeepVision Workshop. 2018. (199.14 KB)
(199.14 KB). Recurrent Neural Networks for Semantic Instance Segmentation. In ECCV 2018 Women in Computer Vision (WiCV) Workshop. 2018. (2.55 MB)
(2.55 MB). Quality Control in Crowdsourced Object Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. 2015. (362.33 KB)
(362.33 KB). NII-HITACHI-UIT at TRECVID 2015 Instance Search. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (1.53 MB)
(1.53 MB)