Abon Chaudhuri

According to our database, Abon Chaudhuri authored at least 14 papers between 2009 and 2020.

Collaborative distances:

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

2020

Scalable Detection of Offensive and Non-compliant Content / Logo in Product Images.

Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

SIR: Similar Image Retrieval for Product Search in E-Commerce.

Theban Stanley, Nihar Vanjara, Yanxin Pan, Ekaterina Pirogova, Swagata Chakraborty, Abon Chaudhuri

Proceedings of the Similarity Search and Applications - 13th International Conference, 2020

2019

Image Matters: Detecting Offensive and Non-Compliant Content / Logo in Product Images.

Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor

CoRR, 2019

2018

A Visual Technique to Analyze Flow of Information in a Machine Learning System.

Abon Chaudhuri

Proceedings of the Visualization and Data Analysis 2018, Burlingame, CA, USA, 28 January 2018, 2018

A Smart System for Selection of Optimal Product Images in E-Commerce.

Abon Chaudhuri, Paolo Messina, Samrat Kokkula, Aditya Subramanian, Abhinandan Krishnan, Shreyansh Gandhi, Alessandro Magnani, Venkatesh Kandaswamy

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2014

Exploring Flow Fields Using Space-Filling Analysis of Streamlines.

Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Rephael Wenger

IEEE Trans. Vis. Comput. Graph., 2014

Efficient Range Distribution Query for Visualizing Scientific Data.

Abon Chaudhuri, Tzu-Hsuan Wei, Teng-Yok Lee, Han-Wei Shen, Tom Peterka

Proceedings of the IEEE Pacific Visualization Symposium, 2014

2013

Efficient range distribution query in large-scale scientific data.

Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Tom Peterka

Proceedings of the IEEE Symposium on Large-Scale Data Analysis and Visualization, 2013

Exploring vector fields with distribution-based streamline analysis.

Kewei Lu, Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen, Pak Chung Wong

Proceedings of the IEEE Pacific Visualization Symposium, 2013

2012

A self-adaptive technique for visualizing geospatial data in 3D with minimum occlusion.

Abon Chaudhuri, Han-Wei Shen

Proceedings of the Visualization and Data Analysis 2012, 2012

Scalable computation of distributions from large scale data sets.

Abon Chaudhuri, Teng-Yok Lee, Bo Zhou, Cong Wang, Tiantian Xu, Han-Wei Shen, Tom Peterka, Yi-Jen Chiang

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012

2011

Scalable parallel building blocks for custom data analysis.

Tom Peterka, Robert B. Ross, Wesley Kendall, Attila Gyulassy, Valerio Pascucci, Han-Wei Shen, Teng-Yok Lee, Abon Chaudhuri

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011

2010

CycleStack: Inferring periodic behavior via temporal sequence visualization in ultrasound video.

Teng-Yok Lee, Abon Chaudhuri, Fatih Porikli, Han-Wei Shen

Proceedings of the IEEE Pacific Visualization Symposium PacificVis 2010, 2010

2009

A self-adaptive treemap-based technique for visualizing hierarchical data in 3D.

Abon Chaudhuri, Han-Wei Shen

Proceedings of the IEEE Pacific Visualization Symposium PacificVis 2009, 2009