P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking. - Gourav Datta; Souvik Kundu 002; Zihan Yin; Joe Mathai; Zeyu Liu 003; Zixu Wang; Mulin Tian; Shunlin Lu; Ravi Teja Lakkireddy; Andrew G. Schmidt; Wael Abd-Almageed; Ajey P. Jacob; et al. (VLSI-SoC, 2022)

Enabling ISP-less Low-Power Computer Vision. - Gourav Datta; Zeyu Liu 003; Zihan Yin; Linyu Sun; Akhilesh R. Jaiswal; Peter A. Beerel (CoRR, 2022)

Hoyer regularizer is all you need for ultra low-latency spiking neural networks. - Gourav Datta; Zeyu Liu 003; Peter A. Beerel (CoRR, 2022)

In-Sensor & Neuromorphic Computing Are all You Need for Energy Efficient Computer Vision. - Gourav Datta; Zeyu Liu 003; Md. Abdullah-Al Kaiser; Souvik Kundu 002; Joe Mathai; Zihan Yin; Ajey P. Jacob; Akhilesh R. Jaiswal; Peter A. Beerel (ICASSP, 2023)

Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency. - Gourav Datta; Haoqin Deng; Robert Aviles; Zeyu Liu 003; Peter A. Beerel (ISLPED, 2023)

Enabling ISPless Low-Power Computer Vision. - Gourav Datta; Zeyu Liu 003; Zihan Yin; Linyu Sun; Akhilesh R. Jaiswal; Peter A. Beerel (WACV, 2023)

Spiking Neural Networks with Dynamic Time Steps for Vision Transformers. - Gourav Datta; Zeyu Liu 003; Anni Li; Peter A. Beerel (CoRR, 2023)

When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks. - Gourav Datta; Zeyu Liu 003; James Diffenderfer; Bhavya Kailkhura; Peter A. Beerel (CoRR, 2023)

AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models. - Zeyu Liu 003; Souvik Kundu 002; Anni Li; Junrui Wan; Lianghao Jiang; Peter A. Beerel (ACL (Short Papers), 2024)

Training Ultra-Low-Latency Spiking Neural Networks from Scratch. - Gourav Datta; Zeyu Liu 003; Peter A. Beerel (ICASSP, 2024)

Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision? - Gourav Datta; Zeyu Liu 003; Peter Anthony Beerel (ICLR, 2024)

LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units. - Zeyu Liu 003; Gourav Datta; Anni Li; Peter Anthony Beerel (ICLR, 2024)

Dynamic SpikFormer: Low-Latency & Energy-Efficient Spiking Neural Networks with Dynamic Time Steps for Vision Transformers. - Gourav Datta; Zeyu Liu 003; Anni Li; Peter A. Beerel (ICASSP, 2025)

When SNN meets ANN: Error-Free ANN-to-SNN Conversion for Extreme Edge Efficiency. - Gourav Datta; Zeyu Liu 003; James Diffenderfer; Bhavya Kailkhura; Peter Anthony Beerel (Trans. Mach. Learn. Res., 2025)