Adarsh Kosta

According to our database, Adarsh Kosta authored at least 17 papers between 2016 and 2024.

Collaborative distances:

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

2024

Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks.

Marco Paul E. Apolinario, Adarsh Kumar Kosta, Utkarsh Saxena, Kaushik Roy

IEEE Trans. Emerg. Top. Comput., 2024

HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities.

Shristi Das Biswas, Adarsh Kosta, Chamika M. Liyanagedera, Marco Paul E. Apolinario, Kaushik Roy

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware.

Nitin Rathi, Indranil Chakraborty, Adarsh Kosta, Abhronil Sengupta, Aayush Ankit, Priyadarshini Panda, Kaushik Roy

ACM Comput. Surv., December, 2023

Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation.

Shubham Negi, Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy

CoRR, 2023

FEDORA: Flying Event Dataset fOr Reactive behAvior.

Amogh Joshi, Adarsh Kosta, Wachirawit Ponghiran, Manish Nagaraj, Kaushik Roy

CoRR, 2023

AcouSkin: Full Surface Contact localization Using Acoustic Waves.

Adarsh Kumar Kosta, Alexis Burns, Siddharth Rupavatharam, Caleb Escobedo, Daewon Lee, Richard E. Howard, Larry D. Jackel, Volkan Isler

IROS, 2023

Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics.

Adarsh Kumar Kosta, Kaushik Roy

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Lightning Talk: A Perspective on Neuromorphic Computing.

Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Live Demonstration: ANN vs SNN vs Hybrid Architectures for Event-based Real-time Gesture Recognition and Optical Flow Estimation.

Adarsh Kumar Kosta, Marco Paul E. Apolinario, Kaushik Roy

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures.

Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning.

Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars.

Adarsh Kosta, Efstathia Soufleri, Indranil Chakraborty, Amogh Agrawal, Aayush Ankit, Kaushik Roy

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives.

Nitin Rathi, Amogh Agrawal, Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

Erratum to "CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays".

Amogh Agrawal, Adarsh Kosta, Sangamesh Kodge, Dong Eun Kim, Kaushik Roy

IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays.

Amogh Agrawal, Adarsh Kosta, Sangamesh Kodge, Dong Eun Kim, Kaushik Roy

IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks.

Chankyu Lee, Adarsh Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy

Proceedings of the Computer Vision - ECCV 2020, 2020

2016

Low Cost Autonomous Navigation and Control of a Mechanically Balanced Bicycle with Dual Locomotion Mode.

Ayush Pandey, Subhamoy Mahajan, Adarsh Kosta, Dhananjay Yadav, Vikas Pandey, Saurav Sahay, Siddharth Jha, Shubh Agarwal, Aashay Bhise, Raushan Kumar, Aniket Bhushan, Vraj Parikh, Ankit Lohani, Saurabh Dash, Himanshu Choudhary, Rahul Kumar, Anurag Sharma, Arnab Mondal, Chendika Karthik Sai, P. N. Vamshi

CoRR, 2016