Gourav Datta

According to our database, Gourav Datta authored at least 32 papers between 2019 and 2024.

Collaborative distances:

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

2024

Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ.

Md. Abdullah-Al Kaiser, Gourav Datta, Peter A. Beerel, Akhilesh R. Jaiswal

CoRR, 2024

LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units.

Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel

CoRR, 2024

2023

Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors.

Md. Abdullah-Al Kaiser, Gourav Datta, Zixu Wang, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal

Frontiers Neuroinformatics, March, 2023

When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks.

Gourav Datta, Zeyu Liu, James Diffenderfer, Bhavya Kailkhura, Peter A. Beerel

CoRR, 2023

Spiking Neural Networks with Dynamic Time Steps for Vision Transformers.

Gourav Datta, Zeyu Liu, Anni Li, Peter A. Beerel

CoRR, 2023

Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types.

Yue Hu, Gourav Datta, Kira Beerel, Peter A. Beerel

CoRR, 2023

Enabling ISPless Low-Power Computer Vision.

Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R. Jaiswal, Peter A. Beerel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Self-Attentive Pooling for Efficient Deep Learning.

Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency.

Gourav Datta, Haoqin Deng, Robert Aviles, Zeyu Liu, Peter A. Beerel

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

ViTA: A Vision Transformer Inference Accelerator for Edge Applications.

Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A. Beerel

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Listening Style-Aware Dyadic Facial Motion Generation.

Gourav Datta, Boshi Huang, Nitesh Sekhar, Vivek Yadav, Shih-Yao Lin, Ayush Jaiswal, Prateek Singhal

Proceedings of the 2nd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2023) co-located with the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence.

Zihan Yin, Gourav Datta, Md. Abdullah-Al Kaiser, Peter A. Beerel, Ajey P. Jacob, Akhilesh Jaiswal

Proceedings of the IEEE International Conference on Rebooting Computing, 2023

FireFly: A Synthetic Dataset for Ember Detection in Wildfire.

Yue Hu, Xinan Ye, Yifei Liu, Souvik Kundu, Gourav Datta, Srikar Mutnuri, Namo Asavisanu, Nora Ayanian, Konstantinos Psounis, Peter A. Beerel

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision.

Gourav Datta, Zeyu Liu, Md. Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel

Proceedings of the IEEE International Conference on Acoustics, 2023

Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M).

Md. Abdullah-Al Kaiser, Gourav Datta, Sreetama Sarkar, Souvik Kundu, Zihan Yin, Manas Garg, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2022

Hoyer regularizer is all you need for ultra low-latency spiking neural networks.

Gourav Datta, Zeyu Liu, Peter A. Beerel

CoRR, 2022

Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs.

Gourav Datta, Haoqin Deng, Robert Aviles, Peter A. Beerel

CoRR, 2022

Enabling ISP-less Low-Power Computer Vision.

Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R. Jaiswal, Peter A. Beerel

CoRR, 2022

Toward Efficient Hyperspectral Image Processing inside Camera Pixels.

Gourav Datta, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel

CoRR, 2022

P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications.

Gourav Datta, Souvik Kundu, Zihan Yin, Ravi Teja Lakkireddy, Joe Mathai, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal

CoRR, 2022

P²M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking.

Gourav Datta, Souvik Kundu, Zihan Yin, Joe Mathai, Zeyu Liu, Zixu Wang, Mulin Tian, Shunlin Lu, Ravi Teja Lakkireddy, Andrew G. Schmidt, Wael Abd-Almageed, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel

Proceedings of the 30th IFIP/IEEE 30th International Conference on Very Large Scale Integration, 2022

Asd-Transformer: Efficient Active Speaker Detection Using Self And Multimodal Transformers.

Gourav Datta, Tyler Etchart, Vivek Yadav, Varsha Hedau, Pradeep Natarajan, Shih-Fu Chang

Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Energy-Efficient Hyperspectral Image Processing Inside Camera Pixels.

Gourav Datta, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks?

Gourav Datta, Peter A. Beerel

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

2021

Metastability in Superconducting Single Flux Quantum (SFQ) Logic.

Gourav Datta, Yunkun Lin, Bo Zhang, Peter A. Beerel

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression.

Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A. Beerel

CoRR, 2021

HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification.

Gourav Datta, Souvik Kundu, Akhilesh R. Jaiswal, Peter A. Beerel

CoRR, 2021

Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression.

Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A. Beerel

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

Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding.

Gourav Datta, Souvik Kundu, Peter A. Beerel

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

qBSA: Logic Design of a 32-bit Block-Skewed RSFQ Arithmetic Logic Unit.

Souvik Kundu, Gourav Datta, Peter A. Beerel, Massoud Pedram

CoRR, 2020

Modeling and Characterization of Metastability in Single Flux Quantum (SFQ) Synchronizers.

Gourav Datta, Peter A. Beerel

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Metastability-Resilient Synchronization FIFO for SFQ Logic.

Gourav Datta, Haolin Cong, Souvik Kundu, Peter A. Beerel

CoRR, 2019