Gourav Datta

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 44

Top Topics

Object Detection

Spiking Neural Networks

Top Venues

Publications

Sreetama Sarkar, Gourav Datta, Souvik Kundu, Kai Zheng, Chirayata Bhattacharyya, Peter A. Beerel
MaskVD: Region Masking for Efficient Video Object Detection. CoRR (2024)
Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units. CoRR (2024)
Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units. ICLR (2024)
Fang Chen, Gourav Datta, Mujahid Al Rafi, Hyeran Jeon, Meng Tang
ReDistill: Residual Encoded Distillation for Peak Memory Reduction. CoRR (2024)
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)
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 (2024)
Gourav Datta, Zeyu Liu, Peter A. Beerel
Training Ultra-Low-Latency Spiking Neural Networks from Scratch. ICASSP (2024)
Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A. Beerel
ViTA: A Vision Transformer Inference Accelerator for Edge Applications. CoRR (2023)
Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A. Beerel
ViTA: A Vision Transformer Inference Accelerator for Edge Applications. ISCAS (2023)
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)
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)
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)
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)
Yue Hu, Gourav Datta, Kira Beerel, Peter A. Beerel
Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types. CoRR (2023)
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 (2023)
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 (2023)
Gourav Datta, Zeyu Liu, Anni Li, Peter A. Beerel
Spiking Neural Networks with Dynamic Time Steps for Vision Transformers. CoRR (2023)
Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel
Self-Attentive Pooling for Efficient Deep Learning. WACV (2023)
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)
Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R. Jaiswal, Peter A. Beerel
Enabling ISPless Low-Power Computer Vision. WACV (2023)
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)
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 (2023)
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)
Gourav Datta, Souvik Kundu, Zihan Yin, Joe Mathai, Zeyu Liu, Zixu Wang, Mulin Tian, Shunlin Lu, Ravi Teja Lakkireddy, Andrew Schmidt, Wael Abd-Almageed, Ajey Jacob, Akhilesh R. Jaiswal, Peter A. Beerel
M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking. VLSI-SoC (2022)
Gourav Datta, Peter A. Beerel
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? DATE (2022)
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)
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 (2022)
Gourav Datta, Zihan Yin, Ajey Jacob, Akhilesh R. Jaiswal, Peter A. Beerel
Toward Efficient Hyperspectral Image Processing inside Camera Pixels. CoRR (2022)
Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel
Self-Attentive Pooling for Efficient Deep Learning. CoRR (2022)
Gourav Datta, Zeyu Liu, Peter A. Beerel
Hoyer regularizer is all you need for ultra low-latency spiking neural networks. CoRR (2022)
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)
Gourav Datta, Haoqin Deng, Robert Aviles, Peter A. Beerel
Towards Energy-Efficient, Low-Latency and Accurate Spiking LSTMs. CoRR (2022)
Gourav Datta, Zeyu Liu, Zihan Yin, Linyu Sun, Akhilesh R. Jaiswal, Peter A. Beerel
Enabling ISP-less Low-Power Computer Vision. CoRR (2022)
Gourav Datta, Souvik Kundu, Zihan Yin, Ravi Teja Lakkireddy, Joe Mathai, Ajey Jacob, Peter A. Beerel, Akhilesh R. Jaiswal
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications. CoRR (2022)
Souvik Kundu, Gourav Datta, Massoud Pedram, Peter A. Beerel
Towards Low-Latency Energy-Efficient Deep SNNs via Attention-Guided Compression. CoRR (2021)
Gourav Datta, Souvik Kundu, Peter A. Beerel
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding. IJCNN (2021)
Gourav Datta, Peter A. Beerel
Can Deep Neural Networks be Converted to Ultra Low-Latency Spiking Neural Networks? CoRR (2021)
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) (2021)
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 (2021)
Gourav Datta, Souvik Kundu, Peter A. Beerel
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding. CoRR (2021)
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)
Souvik Kundu, Gourav Datta, Peter A. Beerel, Massoud Pedram
qBSA: Logic Design of a 32-bit Block-Skewed RSFQ Arithmetic Logic Unit. CoRR (2020)
Gourav Datta, Peter A. Beerel
Modeling and Characterization of Metastability in Single Flux Quantum (SFQ) Synchronizers. ISCAS (2020)
Gourav Datta, Haolin Cong, Souvik Kundu, Peter A. Beerel
Metastability-Resilient Synchronization FIFO for SFQ Logic. CoRR (2019)