Kumar Desappan

According to our database, Kumar Desappan authored at least 13 papers between 2014 and 2023.

Collaborative distances:

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

2023

Orchestration of co-operative and adaptive multi-core deep learning engines.

Mihir Mody, Kumar Desappan, Pramod Swami, David Smith, Shyam Jagannathan, Kevin Lavery, Gregory Shultz, Jason Jones

Proceedings of the Autonomous Vehicles and Machines 2023, 2023

OpTIFlow - An optimized end-to-end dataflow for accelerating deep learning workloads on heterogeneous SoCs.

Shyam Jagannathan, Vijay Pothukuchi, Jesse Villarreal, Kumar Desappan, Manu Mathew, Rahul Ravikumar, Aniket Limaye, Mihir Mody, Pramod Swami, Piyali Goswami, Carlos Rodriguez, Emmanuel Madrigal, Marco Herrera

Proceedings of the Autonomous Vehicles and Machines 2023, 2023

2022

Efficient in-cabin monitoring solution using TI TDA2PxSOCs.

Mayank Mangla, Mihir Mody, Kedar Chitnis, Piyali Goswami, Tarkesh Pande, Shashank Dabral, Shyam Jagannathan, Stefan Haas, Gang Hua, Hrushikesh Garud, Kumar Desappan, Prithvi Shankar, Niraj Nandan

Proceedings of the Autonomous Vehicles and Machines 2022, online, January 15-26, 2022, 2022

Open source deep learning inference libraries for autonomous driving systems.

Kumar Desappan, Anand Pathak, Pramod Swami, Mihir Mody, Yuan Zhao, Paula Carrillo, Praveen Eppa, Jianzhong Xu

Proceedings of the Autonomous Vehicles and Machines 2022, online, January 15-26, 2022, 2022

2020

SS3D: Single Shot 3D Object Detector.

Aniket Limaye, Manu Mathew, Soyeb Nagori, Pramod Kumar Swami, Debapriya Maji, Kumar Desappan

CoRR, 2020

2018

Low cost and power CNN/deep learning solution for automated driving.

Mihir Mody, Kumar Desappan, Pramod Swami, Manu Mathew, Soyeb Nagori

Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

CNN Inference: Dynamic and Predictive Quantization.

Kumar Desappan, Mihir Mody, Manu Mathew, Pramod Swami, Praveen Eppa

Proceedings of the 8th IEEE International Conference on Consumer Electronics - Berlin, 2018

2017

Real time Structure from Motion for Driver Assistance System.

Deepak Poddar, Pramod Swami, Soyeb Nagori, Prashanth Viswanath, Manu Mathew, Kumar Desappan, Anshu Jain, Shyam Jagannathan

Proceedings of the IEEE International Conference on Consumer Electronics, 2017

Efficient object detection and classification on low power embedded systems.

Shyam Jagannathan, Kumar Desappan, Pramod Swami, Manu Mathew, Soyeb Nagori, Kedar Chitnis, Yogesh Marathe, Deepak Poddar, Suriya Narayanan

Proceedings of the IEEE International Conference on Consumer Electronics, 2017

Sparse, Quantized, Full Frame CNN for Low Power Embedded Devices.

Manu Mathew, Kumar Desappan, Pramod Kumar Swami, Soyeb Nagori

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

A Diverse Low Cost High Performance Platform for Advanced Driver Assistance System (ADAS) Applications.

Prashanth Viswanath, Kedar Chitnis, Pramod Swami, Mihir N. Mody, Sujith Shivalingappa, Soyeb Nagori, Manu Mathew, Kumar Desappan, Shyam Jagannathan, Deepak Poddar, Anshu Jain, Hrushikesh Garud, Vikram V. Appia, Mayank Mangla, Shashank Dabral

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

High Performance Front Camera ADAS Applications on TI's TDA3X Platform.

Mihir N. Mody, Pramod Swami, Kedar Chitnis, Shyam Jagannathan, Kumar Desappan, Anshu Jain, Deepak Poddar, Zoran Nikolic, Prashanth Viswanath, Manu Mathew, Soyeb Nagori, Hrushikesh Garud

Proceedings of the 22nd IEEE International Conference on High Performance Computing, 2015

2014

ORB in 5 ms: An Efficient SIMD Friendly Implementation.

Prashanth Viswanath, Pramod Swami, Kumar Desappan, Anshu Jain, Anoop Pathayapurakkal

Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014