Shengxin Zha

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 10

Top Topics

Video Classification

Markov Random Field Model

Image Compression

Top Venues

IEEE Trans. Image Process.

Publications

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 (2024)
Curtis G. Northcutt, Shengxin Zha, Steven Lovegrove, Richard Newcombe
EgoCom: A Multi-Person Multi-Modal Egocentric Communications Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Shengxin Zha, Daizong Tian, Thrasyvoulos N. Pappas
Pattern-Based Reconstruction of K-Level Images From Cutsets. IEEE Trans. Image Process. 31 (2022)
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)
Shengxin Zha, Thrasyvoulos N. Pappas, David L. Neuhoff
Hierarchical Lossy Bilevel Image Compression Based on Cutset Sampling. IEEE Trans. Image Process. 30 (2021)
Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou
SF-Net: Single-Frame Supervision for Temporal Action Localization. CoRR (2020)
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)
Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani
Only Time Can Tell: Discovering Temporal Data for Temporal Modeling. CoRR (2019)
Shengxin Zha, Thrasyvoulos N. Pappas
Generalized k-level cutset sampling and reconstruction. ICASSP (2016)
Shengxin Zha, Thrasyvoulos N. Pappas
A hybrid Markov random field model for bilevel cutset reconstruction. ICIP (2016)
Shengxin Zha, Florian Luisier, Walter Andrews, Nitish Srivastava, Ruslan Salakhutdinov
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification. CoRR (2015)
Shengxin Zha, Florian Luisier, Walter Andrews, Nitish Srivastava, Ruslan Salakhutdinov
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification. BMVC (2015)
Shengxin Zha, Thrasyvoulos N. Pappas
Pattern-based k-level cutset reconstruction. ICIP (2015)
Shengxin Zha, Xujun Peng, Huaigu Cao, Xiaodan Zhuang, Pradeep Natarajan, Prem Natarajan
Text Classification via iVector Based Feature Representation. Document Analysis Systems (2014)
Yue Wu, Shengxin Zha, Huaigu Cao, Daben Liu, Premkumar Natarajan
A Markov chain based line segmentation framework for handwritten character recognition. DRR (2014)
Shengxin Zha, Thrasyvoulos N. Pappas, David L. Neuhoff
Hierarchical bilevel image compression based on cutset sampling. ICIP (2012)