Datta, Gourav

10 publications

WACV 2025 MaskVD: Region Masking for Efficient Video Object Detection Sreetama Sarkar, Gourav Datta, Souvik Kundu, Kai Zheng, Chirayata Bhattacharyya, Peter A. Beerel

TMLR 2025 ReDistill: Residual Encoded Distillation for Peak Memory Reduction of CNNs Fang Chen, Gourav Datta, Mujahid Al Rafi, Hyeran Jeon, Meng Tang

TMLR 2025 When SNN Meets ANN: Error-Free ANN-to-SNN Conversion for Extreme Edge Efficiency Gourav Datta, Zeyu Liu, James Diffenderfer, Bhavya Kailkhura, Peter Anthony Beerel

ICLR 2024 Can We Get the Best of Both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision? Gourav Datta, Zeyu Liu, Peter Anthony Beerel

ICLR 2024 LMUFormer: Low Complexity yet Powerful Spiking Model with Legendre Memory Units Zeyu Liu, Gourav Datta, Anni Li, Peter Anthony Beerel

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

ICCVW 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

WACV 2023 Self-Attentive Pooling for Efficient Deep Learning Fang Chen, Gourav Datta, Souvik Kundu, Peter A. Beerel

ECCVW 2022 Towards Energy-Efficient Hyperspectral Image Processing Inside Camera Pixels Gourav Datta, Zihan Yin, Ajey P. Jacob, Akhilesh R. Jaiswal, Peter A. Beerel

WACV 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