Publications 2019

Journals

1. Shih-Fu Chang, Alex Hauptmann, Louis-Philippe Morency, Sameer Antani, Dick Bulterman, Carlos Busso, Joyce Chai, Julia Hirschberg, Ramesh Jain, Ketan Mayer-Patel, others. Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps. arXiv preprint arXiv:1908.02308, 2019.
2. Hongzhi Li, Joseph G Ellis, Lei Zhang, Shih-Fu Chang. Automatic visual pattern mining from categorical image dataset. International Journal of Multimedia Information Retrieval, 8(1):35-45, 2019.
3. Xudong Lin, Zheng Shou, Shih-Fu Chang. LPAT: Learning to Predict Adaptive Threshold for Weakly-supervised Temporal Action Localization. arXiv preprint arXiv:1910.11285, 2019.
4. Xudong Lin, Lin Ma, Wei Liu, Shih-Fu Chang. Context-Gated Convolution. arXiv preprint arXiv:1910.05577, 2019.
5. Jiawei Ma, Zheng Shou, Alireza Zareian, Hassan Mansour, Anthony Vetro, Shih-Fu Chang. CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation. arXiv preprint arXiv:1905.09904, 2019.
6. Yulei Niu, Hanwang Zhang, Zhiwu Lu, Shih-Fu Chang. Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions. IEEE transactions on pattern analysis and machine intelligence, 2019.
7. Yulei Niu, Zhiwu Lu, Ji-Rong Wen, Tao Xiang, Shih-Fu Chang. Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation. IEEE Transactions on Image Processing, 28(4):1720-1731, 2019.
8. D\'\idac Sur\'\is, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick. Learning to Learn Words from Narrated Video. arXiv preprint arXiv:1911.11237, 2019.
9. Xu Zhang, Svebor Karaman, Shih-Fu Chang. Detecting and simulating artifacts in gan fake images. arXiv preprint arXiv:1907.06515, 2019.

Conferences

1. Hassan Akbari, Svebor Karaman, Surabhi Bhargava, Brian Chen, Carl Vondrick, Shih-Fu Chang. Multi-level multimodal common semantic space for image-phrase grounding. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Pages 12476-12486, 2019.
2. Philipp Blandfort, Desmond U Patton, William R Frey, Svebor Karaman, Surabhi Bhargava, Fei-Tzin Lee, Siddharth Varia, Chris Kedzie, Michael B Gaskell, Rossano Schifanella, others. Multimodal social media analysis for gang violence prevention. In Proceedings of the International AAAI conference on web and social media, Volume 13, Pages 114-124, 2019.
3. Philipp Blandfort, Desmond U. Patton, William R. Frey, Svebor Karaman, Surabhi Bhargava, Fei-Tzin Lee, Siddharth Varia, Chris Kedzie, Michael B. Gaskell, Rossano Schifanella, Kathleen McKeown, Shih-Fu Chang. Multimodal Social Media Analysis for Gang Violence Prevention. In The 13th International AAAI Conference on Web and Social Media. International AAAI Conference on Web and Social Media (ICWSM-2019), 13th, June 11-14, Munich, Germany, 2019.
4. Victor Campos, Xavier Giro-i-Nieto, Brendan Jou, Jordi Torres, Shih-Fu Chang. Sentiment concept embedding for visual affect recognition. In Multimodal Behavior Analysis in the Wild, Pages 349-367, 2019.
5. Shih-Fu Chang, LP Morency, Alexander Hauptmann, Alberto Del Bimbo, Cathal Gurrin, Hayley Hung, Heng Ji, Alan Smeaton. Panel: Challenges for multimedia/multimodal research in the next decade. In Proceedings of the 27th ACM International Conference on Multimedia, Pages 2234-2235, 2019.
6. Shih-Fu Chang, LP Morency, Alexander Hauptmann, Alberto Del Bimbo, Cathal Gurrin, Hayley Hung, Heng Ji, Alan Smeaton. Panel: Challenges for multimedia/multimodal research in the next decade. In Proceedings of the 27th ACM International Conference on Multimedia, Pages 2234-2235, 2019.
7. Long Chen, Hanwang Zhang, Jun Xiao, Xiangnan He, Shiliang Pu, Shih-Fu Chang. Counterfactual critic multi-agent training for scene graph generation. In Proceedings of the IEEE International Conference on Computer Vision, Pages 4613-4623, 2019.
8. Shiyuan Huang, Xudong Lin, Svebor Karaman, Shih-Fu Chang. Flow-Distilled IP Two-Stream Networks for Compressed Video ActionRecognition. In Proceedings of The 58th Annual Meeting of the Association for Computational Linguistics, 2019.
9. Svebor Karaman, Xudong Lin, Xuefeng Hu, Shih-Fu Chang. Unsupervised Rank-Preserving Hashing for Large-Scale Image Retrieval. In Proceedings of the 2019 on International Conference on Multimedia Retrieval, Pages 192-196, 2019.
10. Matthew J Leotta, Chengjiang Long, Bastien Jacquet, Matthieu Zins, Dan Lipsa, Jie Shan, Bo Xu, Zhixin Li, Xu Zhang, Shih-Fu Chang, others. Urban Semantic 3D Reconstruction from Multiview Satellite Imagery. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, Pages 0-0, 2019.
11. Yuan Liu, Lin Ma, Yifeng Zhang, Wei Liu, Shih-Fu Chang. Multi-granularity generator for temporal action proposal. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Pages 3604-3613, 2019.
12. Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan. Dmc-net: Generating discriminative motion cues for fast compressed video action recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Pages 1268-1277, 2019.
13. Ananya Subburathinam, Di Lu, Heng Ji, Jonathan May, Shih-Fu Chang, Avirup Sil, Clare Voss. Cross-lingual Structure Transfer for Relation and Event Extraction. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Pages 313-325, 2019.
14. Mang Ye, Xu Zhang, Pong C Yuen, Shih-Fu Chang. Unsupervised embedding learning via invariant and spreading instance feature. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Pages 6210-6219, 2019.

1. Xavier Alameda-Pineda, Miriam Redi, Mohammad Soleymani, Nicu Sebe, Shih-Fu Chang, Samuel Gosling. Special section on multimodal understanding of social, affective, and subjective attributes. 2019.

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