Shengxin Zha

According to our database, Shengxin Zha authored at least 14 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation.

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

CoRR, 2024

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

EgoCom: A Multi-Person Multi-Modal Egocentric Communications Dataset.

Curtis G. Northcutt, Shengxin Zha, Steven Lovegrove, Richard A. Newcombe

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

2022

Pattern-Based Reconstruction of K-Level Images From Cutsets.

Shengxin Zha, Daizong Tian, Thrasyvoulos N. Pappas

IEEE Trans. Image Process., 2022

2021

Hierarchical Lossy Bilevel Image Compression Based on Cutset Sampling.

Shengxin Zha, Thrasyvoulos N. Pappas, David L. Neuhoff

IEEE Trans. Image Process., 2021

Only Time Can Tell: Discovering Temporal Data for Temporal Modeling.

Laura Sevilla-Lara, Shengxin Zha, Zhicheng Yan, Vedanuj Goswami, Matt Feiszli, Lorenzo Torresani

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

SF-Net: Single-Frame Supervision for Temporal Action Localization.

Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou

Proceedings of the Computer Vision - ECCV 2020, 2020

2016

A hybrid Markov random field model for bilevel cutset reconstruction.

Shengxin Zha, Thrasyvoulos N. Pappas

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Generalized k-level cutset sampling and reconstruction.

Shengxin Zha, Thrasyvoulos N. Pappas

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Pattern-based k-level cutset reconstruction.

Shengxin Zha, Thrasyvoulos N. Pappas

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Exploiting Image-trained CNN Architectures for Unconstrained Video Classification.

Shengxin Zha, Florian Luisier, Walter Andrews, Nitish Srivastava, Ruslan Salakhutdinov

Proceedings of the British Machine Vision Conference 2015, 2015

2014

A Markov chain based line segmentation framework for handwritten character recognition.

Yue Wu, Shengxin Zha, Huaigu Cao, Daben Liu, Premkumar Natarajan

Proceedings of the Document Recognition and Retrieval XXI, 2014

Text Classification via iVector Based Feature Representation.

Shengxin Zha, Xujun Peng, Huaigu Cao, Xiaodan Zhuang, Pradeep Natarajan, Prem Natarajan

Proceedings of the 11th IAPR International Workshop on Document Analysis Systems, 2014

2012

Hierarchical bilevel image compression based on cutset sampling.

Shengxin Zha, Thrasyvoulos N. Pappas, David L. Neuhoff

Proceedings of the 19th IEEE International Conference on Image Processing, 2012