Publications 2013

Journals

  1. Shih-Fu Chang. How Far We've Come: Impact of 20 Years of Multimedia Information Retrieval. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), 9, October 2013. details
  2. Yu-Gang Jiang, Jun Wang, Xiangyang Xue, Shih-Fu Chang. Query-Adaptive Image Search with Hash Codes. IEEE Transactions on Multimedia, 15(2):442-453, 2013. details
  3. Yu-Gang Jiang, Subhabrata Bhattacharya, Shih-Fu Chang, Mubarak Shah. High-Level Event Recognition in Unconstrained Videos. International Journal of Multimedia Information Retrieval, 2(2):73-101, 2013. details
  4. Jun Wang, Tony Jebara, Shih-Fu Chang. Semi-Supervised Learning Using Greedy Max-Cut. Journal of Machine Learning Research, 14:729-758, March 2013. details

Conferences

  1. Subhabrata Bhattacharya, Behnaz Nojavanasghari, Dong Liu, Tao Chen, Shih-Fu Chang, Mubarak Shah. Towards a Comprehensive Computational Model for Aesthetic Assessment of Videos. In ACM Multimedia, Grand Challenge, October 2013. details
  2. Damian Borth, Rongrong Ji, Tao Chen, Shih-Fu Chang. SentiBank: Large-Scale Ontology and Classiers for Detecting Sentiment and Emotions in Visual Content. In ACM Multimedia, Technical Demonstration, October 2013. details
  3. Damian Borth, Rongrong Ji, Tao Chen, Thomas Breuel, Shih-Fu Chang. Large-scale Visual Sentiment Ontology and Detectors Using Adjective Noun Pairs. In ACM Multimedia, October 2013. details
  4. Xin Guo, Dong Liu, Brendan Jou, Mojun Zhu, Anni Cai, Shih-Fu Chang. Robust Object Co-Detection. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, June 2013. details
  5. Go Irie, Dong Liu, Zhenguo Li, Shih-Fu Chang. A Bayesian Approach to Multimodal Visual Dictionary Learning. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, June 2013. details
  6. Brendan Jou, Hongzhi Li, Joseph G. Ellis, Daniel Morozoff, Shih-Fu Chang. Structured Exploration of Who, What, When, and Where in Heterogeneous Multimedia News Sources. In ACM Multimedia, Grand Challenge, October 2013. details
  7. Hongzhi Li, Brendan Jou, Joseph G. Ellis, Daniel Morozoff, Shih-Fu Chang. News Rover: Exploring Topical Structures and Serendipity in Heterogeneous Multimedia News. In ACM Multimedia, Technical Demonstration, October 2013. details
  8. Dong Liu, Kuan-Ting Lai, Guangnan Ye, Ming-Syan Chen, Shih-Fu Chang. Sample Specific Late Fusion for Visual Category Recognition. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, June 2013. details
  9. Xianglong Liu, Junfeng He, Bo Lang, Shih-Fu Chang. Hash Bit Selection: a Unified Solution for Selection Problems in Hashing. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, June 2013. details
  10. Ameet Talwalkar, Lester Mackey, Yadong Mu, Shih-Fu Chang, Michael I. Jordan. Distributed Low-rank Subspace Segmentation. In International Conference on Computer Vision (ICCV), 2013. details
  11. Yan Wang, Rongrong Ji, Shih-Fu Chang. Label Propagation from ImageNet to 3D Point Clouds. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, June 2013. details
  12. Xiao-Ming Wu, Zhenguo Li, Shih-Fu Chang. Analyzing the Harmonic Structure in Graph-Based Learning. In Proceedings of Annual Conference on Neural Information Processing Systems (NIPS), Lake Tahoe, NV, USA, 2013. details
  13. Guangnan Ye, Dong Liu, Jun Wang, Shih-Fu Chang. Large-Scale Video Hashing via Structure Learning. In International Conference on Computer Vision (ICCV), 2013. details
  14. Felix Yu, Dong Liu, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang. $\propto$SVM for learning with label proportions. In International Conference on Machine Learning (ICML) (full oral), Atlanta, GA, June 2013. details
  15. Felix Yu, Liangliang Cao, Rogerio Feris, John Smith, Shih-Fu Chang. Designing category-level attributes for discriminative visual recognition. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, June 2013. details

Technical Reports

  1. Felix Yu, Liangliang Cao, Rogerio Feris, John Smith, Shih-Fu Chang. Additional remarks on designing category-level attributes for discriminative visual recognition. Computer Science Department Technical Report # CUCS 007-13 Columbia University, 2013. details

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

 
bar

For problems or questions regarding this web site contact The Web Master.

This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).