Sreyasee Das Bhattacharjee

PhD

Sreyasse Das Bhattacharjee.

Sreyasee Das Bhattacharjee

PhD

Sreyasee Das Bhattacharjee

PhD

Assistant Professor of Teaching
Assistant Professor of Research

Research Topics

Computer vision; machine learning; multimodal data analytics; pattern recognition; large-scale visual search and mining; big data analytics

Biography Publications Teaching Research

Recent Publications

  • Sreyasee D.B., William J. Tolone, Mohammed Elshambakey, Isaac Cho, Ashish Mahabal, George Djorgovski, `View-Adaptive Weighted Deep Transfer Learning for Distributed Time-Series Classification’, COMPSAC 2019: Data Driven Intelligence for a Smarter World, 2019.
  • Sreyasee D.B, William J. Tolone, ‘Identifying Malicious Social Media Contents using Multi-View Context-Aware Active Learning’, Accepted, Elsevier Future Generation of Computer Science (FGCS)-Special Issue on Cyber Threat Intelligence and Analytics.March, 2019
  • Sreyasee D.B., William J. Tolone, Mohammed Elshambakey, Isaac Cho, Ashish Mahabal, George Djorgovski, Context-Aware Deep Sequence Learning with Multi-View Factor Pooling for Time Series Classification, IEEE Int. Conference in Big Data, Dec 2018
  • Sreyasee D.B, Junsong Yuan, Yicheng Huang, Jingjing Meng, Lingyu Duan, ‘Query Adaptive Multi-View Object Instance Search and Localization using Sketches’IEEE Tran. MultiMedia, March 2018.
  • Sreyasee D.B, Bala Venkatram Balantrapu, William J. Tolone, Ashit Talukder, ‘Identifying Extremism in Social Media with Multi-view Context-Aware Subset Optimization’, (As a best paper, pre-selected for Elsevier FGCS-Special Issue on Cyber Threat Intelligence and Analytics) International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention, IEEE Int. Conference in Big Data 2017.
  • Sreyasee D.B, Ashit Talukder, Bala Venkatram Balantrapu ‘Active Learning Based News Veracity Detection with Feature Weighting and Deep-Shallow Fusion’, IEEE Int. Conference on Big Data 2017.
  • Sreyasee D.B, Ashit Talukder, Ehab-E-Alshaer, Pratik Doshi ‘Prioritized Active Learning for Malicious URL Detection using Weighted Feature Updates’, IEEE Int. Conference in Intelligence and Security Informatics (ISI), 2017.
  • Sreyasee D.B, Ashit Talukder, ‘Graph clustering for Weapon Discharge Event detection and Tracking in Infrared Imagery using Deep Features’, (Invited Paper) SPIE Conference in Pattern Recognition and Tracking, 2017.
  • Sreyasee D.B, Junsong Yuan, Zhang Jiaqi, Yap-Peng Tan, ‘ Context-Aware Graph-Based Analysis for Detecting Anomalous Activities’, IEEE Int. Conference on Multimedia and Expo (ICME), 2017.
  • Weixiang Hong, Junsong Yuan and Sreyasee D.B., ‘ Fried Binary Embedding for High-Dimensional Visual Features’, IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2017.
  • Tan Yu, Yuwei Wu, Sreyasee D.B. and Junsong Yuan, ‘Efficient Object Instance Search Using Fuzzy Object Matching’, AAAI Conference in Artificial Intelligence, 2017.
  • Sreyasee D.B, Junsong Yuan, Weixiang Hong, Xiang Ruan, ‘Query adaptive instance search using sketches’, ACM Int. conference on MultiMedia, Oct, 2016
  • Sreyasee D.B., Junsong Yuan, Lingyu Duan, Yap-Peng Tan , ‘Query Adaptive Small Object Search using Shape aware descripotors’, IEEE Tran. MultiMedia, July 2016
  • Sreyasee D.B., Junsong Yuan, Lingyu Duan, Yap-Peng Tan, ‘Query Adaptive Logo Search using Shape aware descripotors’, ACM Int. conference on MultiMedia, Oct 2015
  • Sreyasee D.B., Anurag Mittal, ‘Part-based Deformable Object Detection with a Single Sketch’, Computer Vision and Image Understanding (CVIU), Elsevier, 2015.
  • Smit Marvania, Sreyasee D.B., Venkatesh M., Anurag Mittal ‘Drawing an Automatic Sketch of Deformable Objects using only a few images’, NORDIA , European Conference in Computer Vision, 2012.
  • Sreyasee D.B., Sukhendu Das, and Amitava Datta, ‘Occluded shape (2-D) Recognition using Edge based Features’, IEEE International Region 10 ConferenceTENCON 2008.