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Journal Articles
- 2023
[j3]Curtis G. Northcutt
, Shengxin Zha, Steven Lovegrove, Richard A. Newcombe:
EgoCom: A Multi-Person Multi-Modal Egocentric Communications Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6783-6793 (2023)- 2022
- [j2]Shengxin Zha, Daizong Tian, Thrasyvoulos N. Pappas:
Pattern-Based Reconstruction of K-Level Images From Cutsets. IEEE Trans. Image Process. 31: 5529-5542 (2022) - 2021
- [j1]Shengxin Zha, Thrasyvoulos N. Pappas, David L. Neuhoff:
Hierarchical Lossy Bilevel Image Compression Based on Cutset Sampling. IEEE Trans. Image Process. 30: 1527-1541 (2021)
Conference and Workshop Papers
- 2024
- [c10]Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CVPR 2024: 22401-22412 - 2021
- [c9]Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani:
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. WACV 2021: 535-544 - 2020
- [c8]Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou:
SF-Net: Single-Frame Supervision for Temporal Action Localization. ECCV (4) 2020: 420-437 - 2016
- [c7]Shengxin Zha, Thrasyvoulos N. Pappas:
Generalized k-level cutset sampling and reconstruction. ICASSP 2016: 1681-1685 - [c6]Shengxin Zha, Thrasyvoulos N. Pappas:
A hybrid Markov random field model for bilevel cutset reconstruction. ICIP 2016: 3523-3527 - 2015
- [c5]Shengxin Zha, Florian Luisier, Walter Andrews, Nitish Srivastava, Ruslan Salakhutdinov:
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification. BMVC 2015: 60.1-60.13 - [c4]Shengxin Zha, Thrasyvoulos N. Pappas:
Pattern-based k-level cutset reconstruction. ICIP 2015: 3344-3348 - 2014
- [c3]Shengxin Zha, Xujun Peng, Huaigu Cao, Xiaodan Zhuang, Pradeep Natarajan, Prem Natarajan:
Text Classification via iVector Based Feature Representation. Document Analysis Systems 2014: 151-155 - [c2]Yue Wu, Shengxin Zha, Huaigu Cao, Daben Liu, Premkumar Natarajan:
A Markov chain based line segmentation framework for handwritten character recognition. DRR 2014: 90210C-90210C-12 - 2012
- [c1]Shengxin Zha, Thrasyvoulos N. Pappas, David L. Neuhoff:
Hierarchical bilevel image compression based on cutset sampling. ICIP 2012: 2517-2520
Informal and Other Publications
- 2024
- [i4]Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu:
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CoRR abs/2405.09546 (2024) - 2020
- [i3]Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou:
SF-Net: Single-Frame Supervision for Temporal Action Localization. CoRR abs/2003.06845 (2020) - 2019
- [i2]Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani:
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. CoRR abs/1907.08340 (2019) - 2015
- [i1]Shengxin Zha, Florian Luisier, Walter Andrews, Nitish Srivastava, Ruslan Salakhutdinov:
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification. CoRR abs/1503.04144 (2015)
Coauthor Index
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