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] . Object Retrieval with Deep Convolutional Features. In Deep Learning for Image Processing Applications. Amsterdam, The Netherlands: IOS Press; 2017.
. Bags of Local Convolutional Features for Scalable Instance Search. In ACM International Conference on Multimedia Retrieval (ICMR). New York City, NY; USA: ACM; 2016. 
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(3.73 MB). Budget-aware Semi-Supervised Semantic and Instance Segmentation. In CVPR 2019 DeepVision Workshop. Long Beach, CA, USA: OpenCVF; 2019. (6.59 MB)
(6.59 MB). Click’n’Cut: Crowdsourced Interactive Segmentation with Object Candidates. In 3rd International ACM Workshop on Crowdsourcing for Multimedia (CrowdMM). Orlando, Florida (USA); 2014. (1017.73 KB)
(1017.73 KB). Cross-modal Embeddings for Video and Audio Retrieval. In ECCV 2018 Women in Computer Vision Workshop. Munich, Germany: Springer; 2018. (1.07 MB)
(1.07 MB). Crowdsourced Object Segmentation with a Game. In ACM Workshop on Crowdsourcing for Multimedia (CrowdMM). Barcelona; 2013. (1.22 MB)
(1.22 MB). Cultural Event Recognition with Visual ConvNets and Temporal Models. In CVPR ChaLearn Looking at People Workshop 2015. 2015. (1.09 MB)
(1.09 MB). Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction. In 1st International Workshop on Affect and Sentiment in Multimedia. Brisbane, Australia: ACM; 2015. (506.22 KB)
(506.22 KB). Exploring EEG for Object Detection and Retrieval. In ACM International Conference on Multimedia Retrieval (ICMR) . Shanghai, China; 2015. (5.37 MB)
(5.37 MB). Faster R-CNN Features for Instance Search. In CVPR Workshop Deep Vision. 2016. (2.77 MB)
(2.77 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). Insight DCU at TRECVID 2015. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (2.13 MB)
(2.13 MB). Inverse Cooking: Recipe Generation from Food Images. In CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019.
. Learning Cross-modal Embeddings for Cooking Recipes and Food Images. In CVPR. Honolulu, Hawaii, USA: CVF / IEEE; 2017. (3.37 MB)
(3.37 MB). NII-HITACHI-UIT at TRECVID 2015 Instance Search. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (1.53 MB)
(1.53 MB). Quality Control in Crowdsourced Object Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. 2015. (362.33 KB)
(362.33 KB). 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). 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). 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). 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). 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). Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks. In ICASSP. Brighton, UK: IEEE; 2019. (4.42 MB)
(4.42 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). Mask-guided sample selection for Semi-Supervised Instance Segmentation. Multimedia Tools and Applications. 2020;. (2.2 MB)
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