D-Sempre: Learning Deep Semantic-Preserving Embeddings for User interests-Social Contents Modeling
Comments ACM Multimedia
期刊&会议
ACM International Conference on Multimedia · 会议 · Multimedia
Comments ACM Multimedia
Comments accepted at ACM Multimedia 2017
Comments accepted in ACM Multimedia 2016
Comments Presented at the ACM Multimedia Thematic Workshops, 2017
Comments 9 pages, to appear in ACM MM 2017
Comments Accepted to ACM MM 2017
Journal ref Proceedings of Thematic Workshops of the 25th ACM Multimedia 2017
Comments ACM Multimedia 2017
Comments Accepted as a Thematic Workshops paper at ACM MM 2017
Comments ACM Multimedia 2017
Journal ref ACM Multimedia 2017
Comments To appear in ACM Multimedia 2017 (Oral)
Comments 9 pages, Accepted as a full paper at the ACM Multimedia Conference (MM) 2017
Comments accepted to ACM MM 2017
Comments To appear in Proceedings of the 25th ACM International Conference on Multimedia 2017 (full research paper)
Comments ACM MM 2017
Comments To appear in ACMMM 2017
Comments Appeared at ACM Multimedia 2016
Comments 8 pages with an extra reference page
Journal ref 2017 ACM Multimedia Conference
Comments Accepted at the ACM International Conference on Multimedia (ACM MM) 2017
Comments accepted as poster at the 25th ACM Multimedia (ACM MM) 2017, Mountain View, California, USA
Comments A shorter version of this submission was accepted at ACM Multimedia (ACMMM) 2017. Code, annotated datasets and pre-trained models available at https://github.com/val-iisc/sketch-parse
Comments Accepted to ACM MM 2017 Open Source Software Competition
Comments 8 pages, 5 figures, accepted by ACM Multimedia 2017
Comments ACM Multimedia 2017 preprint
Comments Oral paper at ACM Multimedia 2017 Workshop on Multimodal Understanding of Social, Affective and Subjective Attributes (MUSA2)
Comments Oral paper at the ACM Multimedia 2017 Workshop on Lifelogging Tools and Applications (LTA), Mountain View, California USA. http://lta2017.computing.dcu.ie/
Comments 9 pages, 2 figures, accepted as ORAL by ACM Multimedia 2017
Comments Published at ACM Multimedia workshop
Comments To appear in ACM Multimedia (ACM MM) 2017 as a full research paper. More details at the project page: http://personal.ie.cuhk.edu.hk/~lz013/projects/UnconstrainedLandmarks.html