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(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)
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(27.84 MB). 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). Speech-conditioned Face Generation with Deep Adversarial Networks. . 2018. (1.79 MB)
(1.79 MB). Snap a photo, get a recipe: pic2recipe uses AI to predict food ingredients. Digital Trends; 2017.
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(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)
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(22.63 MB). Object Retrieval with Deep Convolutional Features. In Deep Learning for Image Processing Applications. Amsterdam, The Netherlands: IOS Press; 2017.
. NII-HITACHI-UIT at TRECVID 2015 Instance Search. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (1.53 MB)
(1.53 MB). MIT is building a system that can identify a recipe using pictures of food. Techcrunch; 2017.
. Mask-guided sample selection for Semi-Supervised Instance Segmentation. Multimedia Tools and Applications. 2020;. (2.2 MB)
(2.2 MB). Learning Cross-modal Embeddings for Cooking Recipes and Food Images. In CVPR. Honolulu, Hawaii, USA: CVF / IEEE; 2017. (3.37 MB)
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(1.51 MB). Inverse Cooking: Recipe Generation from Food Images. In CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019.
. Insight DCU at TRECVID 2015. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (2.13 MB)
(2.13 MB). Insight Centre for Data Analytics (DCU) at TRECVid 2014: Instance Search and Semantic Indexing Tasks. In 2014 TRECVID Workshop. Orlando, Florida (USA): National Institute of Standards and Technology (NIST); 2014. (2.45 MB)
(2.45 MB). Fine-tuning a Convolutional Network for Cultural Event Recognition. . 2015. (11.14 MB)
(11.14 MB). Faster R-CNN Features for Instance Search. In CVPR Workshop Deep Vision. 2016. (2.77 MB)
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