Adarsh Kumar Kosta

20 papers A* 4A 5Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A conf
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges.
DATE
Amit Ranjan Trivedi, Sina Tayebati, Hemant Kumawat, Nastaran Darabi, Divake Kumar, Adarsh Kumar Kosta, Yeshwanth Venkatesha, Dinithi Jayasuriya, Nethmi Jayasinghe, Priyadarshini Panda, Saibal Mukhopadhyay, Kaushik Roy
2025 J jnl
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges.
CoRR
Amit Ranjan Trivedi, Sina Tayebati, Hemant Kumawat, Nastaran Darabi, Divake Kumar, Adarsh Kumar Kosta, Yeshwanth Venkatesha, Dinithi Jayasuriya, Nethmi Jayasinghe, Priyadarshini Panda, Saibal Mukhopadhyay, Kaushik Roy
2025 J jnl
TOFFE - Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking.
CoRR
Adarsh Kumar Kosta, Amogh Joshi, Arjun Roy, Rohan Kumar Manna, Manish Nagaraj, Kaushik Roy
2024 A conf
Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation.
IROS
Shubham Negi, Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy
2024 J jnl
Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks.
IEEE Trans. Emerg. Top. Comput.
Marco Paul E. Apolinario, Adarsh Kumar Kosta, Utkarsh Saxena, Kaushik Roy
2024 J jnl
SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning.
CoRR
Amogh Joshi, Adarsh Kumar Kosta, Kaushik Roy
2024 A conf
Unearthing the Potential of Spiking Neural Networks.
DATE
Sayeed Shafayet Chowdhury, Adarsh Kumar Kosta, Deepika Sharma, Marco Paul E. Apolinario, Kaushik Roy
2024 J jnl
Unlocking the Potential of Spiking Neural Networks: Understanding the What, Why, and Where.
IEEE Trans. Cogn. Dev. Syst.
Buddhi Wickramasinghe, Sayeed Shafayet Chowdhury, Adarsh Kumar Kosta, Wachirawit Ponghiran, Kaushik Roy
2023 A conf
AcouSkin: Full Surface Contact localization Using Acoustic Waves.
IROS
Adarsh Kumar Kosta, Alexis Burns, Siddharth Rupavatharam, Caleb Escobedo, Daewon Lee, Richard E. Howard, Larry D. Jackel, Volkan Isler
2023 A* conf
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics.
ICRA
Adarsh Kumar Kosta, Kaushik Roy
2023 J jnl
Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation.
CoRR
Shubham Negi, Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy
2023 A* conf
Lightning Talk: A Perspective on Neuromorphic Computing.
DAC
Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy
2023 — conf
Live Demonstration: ANN vs SNN vs Hybrid Architectures for Event-based Real-time Gesture Recognition and Optical Flow Estimation.
CVPR Workshops
Adarsh Kumar Kosta, Marco Paul E. Apolinario, Kaushik Roy
2022 J jnl
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics.
CoRR
Adarsh Kumar Kosta, Kaushik Roy
2022 A* conf
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures.
ICRA
Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy
2022 J jnl
Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks.
CoRR
Marco Paul E. Apolinario, Adarsh Kumar Kosta, Utkarsh Saxena, Kaushik Roy
2022 A* conf
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning.
ICRA
Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy
2021 A conf
Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives.
DATE
Nitin Rathi, Amogh Agrawal, Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy
2021 J jnl
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures.
CoRR
Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy
2021 J jnl
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning.
CoRR
Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy