Exploiting Image-trained CNN Architectures for Unconstrained Video Classification S Zha, F Luisier, W Andrews, N Srivastava, R Salakhutdinov British Machine Vision Conference (BMVC), 60.1-60.13, 2015 | 255 | 2015 |
Sf-net: Single-frame supervision for temporal action localization F Ma, L Zhu, Y Yang, S Zha, G Kundu, M Feiszli, Z Shou Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 102 | 2020 |
Only time can tell: Discovering temporal data for temporal modeling L Sevilla-Lara, S Zha, Z Yan, V Goswami, M Feiszli, L Torresani Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 44 | 2021 |
Hierarchical bilevel image compression based on cutset sampling S Zha, TN Pappas, DL Neuhoff 2012 19th IEEE International Conference on Image Processing, 2517-2520, 2012 | 13 | 2012 |
Egocom: A multi-person multi-modal egocentric communications dataset C Northcutt, S Zha, S Lovegrove, R Newcombe IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 11 | 2020 |
Text classification via iVector based feature representation S Zha, X Peng, H Cao, X Zhuang, P Natarajan, P Natarajan 2014 11th IAPR International Workshop on Document Analysis Systems, 151-155, 2014 | 7 | 2014 |
Hierarchical lossy bilevel image compression based on cutset sampling S Zha, TN Pappas, DL Neuhoff IEEE Transactions on Image Processing 30, 1527-1541, 2020 | 6 | 2020 |
Pattern-based k-level cutset reconstruction S Zha, TN Pappas 2015 IEEE International Conference on Image Processing (ICIP), 3344-3348, 2015 | 3 | 2015 |
A Markov chain based line segmentation framework for handwritten character recognition Y Wu, S Zha, H Cao, D Liu, P Natarajan Document Recognition and Retrieval XXI 9021, 99-110, 2014 | 3 | 2014 |
Generalized k-level cutset sampling and reconstruction S Zha, TN Pappas 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 2 | 2016 |
A hybrid Markov random field model for bilevel cutset reconstruction S Zha, TN Pappas 2016 IEEE International Conference on Image Processing (ICIP), 3523-3527, 2016 | 1 | 2016 |
Pattern-Based Reconstruction of K-Level Images From Cutsets S Zha, D Tian, TN Pappas IEEE Transactions on Image Processing 31, 5529-5542, 2022 | | 2022 |
Cutset-based Image Segmentation, Reconstruction, and Compression S Zha Northwestern University, 2016 | | 2016 |
A MARKOV RANDOM FIELD MODEL FOR BILEVEL CUTSET RECONSTRUCTION S Zha, TN Pappas | | |