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ORCIDGourav Datta
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2020 – today
- 2024
[c22]Md. Abdullah-Al Kaiser
, Gourav Datta, Peter A. Beerel, Akhilesh R. Jaiswal:
Toward High-Accuracy, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ. DAC 2024: 81:1-81:6- [c21]Gourav Datta, Zeyu Liu, Peter A. Beerel:
Training Ultra-Low-Latency Spiking Neural Networks from Scratch. ICASSP 2024: 13046-13050 - [c20]Gourav Datta, Zeyu Liu, Peter Anthony Beerel:
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision? ICLR 2024 - [c19]Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel:
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units. ICLR 2024 - [c18]Sreetama Sarkar, Xinan Ye, Gourav Datta, Peter A. Beerel:
FixPix: Fixing Bad Pixels using Deep Learning. ICPR (3) 2024: 441-455 - [c17]Yue Hu, Gourav Datta, Kira Beerel, Yao Liu, Peter A. Beerel:
Let's Roll: A Synthetic and Real Dataset for Pedestrian Detection Across Different Shutter Types. SiPS 2024: 113-118 - [i25]Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel:
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units. CoRR abs/2402.04882 (2024) - [i24]Md. Abdullah-Al Kaiser, Gourav Datta, Peter A. Beerel, Akhilesh R. Jaiswal:
Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ. CoRR abs/2402.15121 (2024) - [i23]Fang Chen, Gourav Datta, Mujahid Al Rafi, Hyeran Jeon, Meng Tang:
ReDistill: Residual Encoded Distillation for Peak Memory Reduction. CoRR abs/2406.03744 (2024) - [i22]Sreetama Sarkar, Gourav Datta, Souvik Kundu, Kai Zheng, Chirayata Bhattacharyya, Peter A. Beerel:
MaskVD: Region Masking for Efficient Video Object Detection. CoRR abs/2407.12067 (2024) - [i21]Md. Abdullah-Al Kaiser, Sreetama Sarkar, Peter A. Beerel, Akhilesh R. Jaiswal, Gourav Datta:
Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors. CoRR abs/2409.17341 (2024) - [i20]Md. Abdullah-Al Kaiser, Gourav Datta, Jordan Athas, Christian Duffee, Ajey P. Jacob, Pedram Khalili Amiri, Peter A. Beerel, Akhilesh R. Jaiswal:
Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence. CoRR abs/2410.10592 (2024) - 2023
- [j2]Md. Abdullah-Al Kaiser, Gourav Datta, Zixu Wang, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal:
Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors. Frontiers Neuroinformatics 17 (2023) - [c16]Md. Abdullah-Al Kaiser, Gourav Datta, Sreetama Sarkar, Souvik Kundu, Zihan Yin, Manas Garg, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal:
Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M). ACM Great Lakes Symposium on VLSI 2023: 613-618 - [c15]Gourav Datta, Zeyu Liu, Md. Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel:
In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision. ICASSP 2023: 1-5 - [c14]Yue Hu, Xinan Ye, Yifei Liu, Souvik Kundu, Gourav Datta, Srikar Mutnuri, Namo Asavisanu, Nora Ayanian, Konstantinos Psounis, Peter A. Beerel:
FireFly: A Synthetic Dataset for Ember Detection in Wildfire. ICCV (Workshops) 2023: 3767-3771 - [c13]Zihan Yin, Gourav Datta, Md. Abdullah-Al Kaiser, Peter A. Beerel, Ajey P. Jacob, Akhilesh Jaiswal:
Design Considerations for 3D Heterogeneous Integration Driven Analog Processing-in-Pixel for Extreme-Edge Intelligence. ICRC 2023: 1-5 - [c12]Gourav Datta, Boshi Huang, Nitesh Sekhar, Vivek Yadav, Shih-Yao Lin, Ayush Jaiswal, Prateek Singhal:
Listening Style-Aware Dyadic Facial Motion Generation. STRL@IJCAI 2023 - [c11]Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A. Beerel:
ViTA: A Vision Transformer Inference Accelerator for Edge Applications. ISCAS 2023: 1-5 - [c10]Gourav Datta, Haoqin Deng, Robert Aviles, Zeyu Liu, Peter A. Beerel:
Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency. ISLPED 2023: 1-6 - [c9]Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R. Jaiswal, Peter A. Beerel:
Enabling ISPless Low-Power Computer Vision. WACV 2023: 2429-2438 - [c8]Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel:
Self-Attentive Pooling for Efficient Deep Learning. WACV 2023: 3963-3972 - [i19]Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A. Beerel:
ViTA: A Vision Transformer Inference Accelerator for Edge Applications. CoRR abs/2302.09108 (2023) - [i18]Md. Abdullah-Al Kaiser, Gourav Datta, Sreetama Sarkar, Souvik Kundu, Zihan Yin, Manas Garg, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal:
Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M). CoRR abs/2304.02968 (2023) - [i17]Yue Hu, Xinan Ye, Yifei Liu, Souvik Kundu, Gourav Datta, Srikar Mutnuri, Namo Asavisanu, Nora Ayanian, Konstantinos Psounis, Peter A. Beerel:
FireFly A Synthetic Dataset for Ember Detection in Wildfire. CoRR abs/2308.03164 (2023) - [i16]Yue Hu, Gourav Datta, Kira Beerel, Peter A. Beerel:
Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types. CoRR abs/2309.08136 (2023) - [i15]Gourav Datta, Zeyu Liu, Anni Li, Peter A. Beerel:
Spiking Neural Networks with Dynamic Time Steps for Vision Transformers. CoRR abs/2311.16456 (2023) - [i14]Gourav Datta, Zeyu Liu, James Diffenderfer, Bhavya Kailkhura, Peter A. Beerel:
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks. CoRR abs/2312.06900 (2023) - 2022
- [c7]Gourav Datta, Peter A. Beerel:
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? DATE 2022: 718-723 - [c6]Gourav Datta, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel:
Towards Energy-Efficient Hyperspectral Image Processing Inside Camera Pixels. ECCV Workshops (6) 2022: 303-316 - [c5]Gourav Datta, Tyler Etchart, Vivek Yadav, Varsha Hedau, Pradeep Natarajan, Shih-Fu Chang:
Asd-Transformer: Efficient Active Speaker Detection Using Self And Multimodal Transformers. ICASSP 2022: 4568-4572 - [c4]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:
P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking. VLSI-SoC 2022: 1-6 - [i13]Gourav Datta, Souvik Kundu, Zihan Yin, Ravi Teja Lakkireddy, Joe Mathai, Ajey P. Jacob, Peter A. Beerel, Akhilesh R. Jaiswal:
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications. CoRR abs/2203.04737 (2022) - [i12]Gourav Datta, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel:
Toward Efficient Hyperspectral Image Processing inside Camera Pixels. CoRR abs/2203.05696 (2022) - [i11]Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel:
Self-Attentive Pooling for Efficient Deep Learning. CoRR abs/2209.07659 (2022) - [i10]Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R. Jaiswal, Peter A. Beerel:
Enabling ISP-less Low-Power Computer Vision. CoRR abs/2210.05451 (2022) - [i9]Gourav Datta, Haoqin Deng, Robert Aviles, Peter A. Beerel:
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs. CoRR abs/2210.12613 (2022) - [i8]Gourav Datta, Zeyu Liu, Peter A. Beerel:
Hoyer regularizer is all you need for ultra low-latency spiking neural networks. CoRR abs/2212.10170 (2022) - [i7]Gourav Datta, Zeyu Liu, Md. Abdullah-Al Kaiser, Souvik Kundu, Joe Mathai, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel:
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision. CoRR abs/2212.10881 (2022) - 2021
- [j1]Gourav Datta, Yunkun Lin, Bo Zhang, Peter A. Beerel:
Metastability in Superconducting Single Flux Quantum (SFQ) Logic. IEEE Trans. Circuits Syst. I Regul. Pap. 68(5): 1990-2002 (2021) - [c3]Gourav Datta, Souvik Kundu, Peter A. Beerel:
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding. IJCNN 2021: 1-8 - [c2]Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A. Beerel:
Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression. WACV 2021: 3952-3961 - [i6]Gourav Datta, Souvik Kundu, Akhilesh R. Jaiswal, Peter A. Beerel:
HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification. CoRR abs/2107.11979 (2021) - [i5]Gourav Datta, Souvik Kundu, Peter A. Beerel:
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding. CoRR abs/2107.12374 (2021) - [i4]Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A. Beerel:
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression. CoRR abs/2107.12445 (2021) - [i3]Gourav Datta, Peter A. Beerel:
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? CoRR abs/2112.12133 (2021) - 2020
- [c1]Gourav Datta, Peter A. Beerel:
Modeling and Characterization of Metastability in Single Flux Quantum (SFQ) Synchronizers. ISCAS 2020: 1-5 - [i2]Souvik Kundu, Gourav Datta, Peter A. Beerel, Massoud Pedram:
qBSA: Logic Design of a 32-bit Block-Skewed RSFQ Arithmetic Logic Unit. CoRR abs/2001.10715 (2020)
2010 – 2019
- 2019
- [i1]Gourav Datta, Haolin Cong, Souvik Kundu, Peter A. Beerel:
Metastability-Resilient Synchronization FIFO for SFQ Logic. CoRR abs/1910.04907 (2019)
Coauthor Index
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