| P2M-DeTrack: Processing-in-Pixel-in-Memory for Energy-efficient and Real-Time Multi-Object Detection and Tracking G Datta, S Kundu, Z Yin, J Mathai, Z Liu, Z Wang, M Tian, S Lu, ... 2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration …, 2022 | 13 | 2022 |
| Hoyer regularizer is all you need for ultra low-latency spiking neural networks G Datta, Z Liu, PA Beerel arXiv preprint arXiv:2212.10170, 2022 | 10 | 2022 |
| In-sensor & neuromorphic computing are all you need for energy efficient computer vision G Datta, Z Liu, M Abdullah-Al Kaiser, S Kundu, J Mathai, Z Yin, AP Jacob, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 8 | 2023 |
| Bridging the Gap Between Spiking Neural Networks & LSTMs for Latency & Energy Efficiency G Datta, H Deng, R Aviles, Z Liu, PA Beerel 2023 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2023 | 3 | 2023 |
| AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models Z Liu, S Kundu, A Li, J Wan, L Jiang, PA Beerel arXiv preprint arXiv:2403.13269, 2024 | 1 | 2024 |
| Enabling ISPless Low-Power Computer Vision G Datta, Z Liu, Z Yin, L Sun, AR Jaiswal, PA Beerel Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 1 | 2023 |
| LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units Z Liu, G Datta, A Li, PA Beerel arXiv preprint arXiv:2402.04882, 2024 | | 2024 |
| When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks G Datta, Z Liu, J Diffenderfer, B Kailkhura, PA Beerel arXiv preprint arXiv:2312.06900, 2023 | | 2023 |
| HOYER REGULARIZER IS ALL YOU NEED FOR EXTREMELY SPARSE SPIKING NEURAL NETWORKS G Datta, Z Liu, PA Beerel | | 2022 |
| NETWORKS AND SPIKING NEURAL NETWORKS FOR EFFICIENT COMPUTER VISION? G Datta, Z Liu, PA Beerel | | |
