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ORCIDSreetama Sarkar
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2020 – today
- 2024
[c7]Sreetama Sarkar, Souvik Kundu, Peter A. Beerel:
RLNet: Robust Linearized Networks for Efficient Private Inference. CVPR Workshops 2024: 244-253- [c6]Sreetama Sarkar, Souvik Kundu, Kai Zheng, Peter A. Beerel:
Block Selective Reprogramming for On-device Training of Vision Transformers. CVPR Workshops 2024: 8094-8103 - [i7]Sreetama Sarkar, Souvik Kundu, Peter A. Beerel:
Linearizing Models for Efficient yet Robust Private Inference. CoRR abs/2402.05521 (2024) - [i6]Sreetama Sarkar, Souvik Kundu, Kai Zheng, Peter A. Beerel:
Block Selective Reprogramming for On-device Training of Vision Transformers. CoRR abs/2405.10951 (2024) - [i5]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) - [i4]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) - 2023
- [c5]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 - [i3]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) - 2022
- [c4]Pierpaolo Morì, Manoj Rohit Vemparala, Nael Fasfous, Saptarshi Mitra, Sreetama Sarkar, Alexander Frickenstein, Lukas Frickenstein, Domenik Helms, Naveen Shankar Nagaraja, Walter Stechele, Claudio Passerone:
Accelerating and pruning CNNs for semantic segmentation on FPGA. DAC 2022: 145-150 - 2021
- [c3]Manoj Rohit Vemparala, Nael Fasfous, Alexander Frickenstein, Sreetama Sarkar, Qi Zhao, Sabine Kuhn, Lukas Frickenstein, Anmol Singh, Christian Unger, Naveen Shankar Nagaraja, Christian Wressnegger, Walter Stechele:
Adversarial Robust Model Compression Using In-Train Pruning. CVPR Workshops 2021: 66-75 - [i2]Rourab Paul, Sreetama Sarkar, Suman Sau, Koushik Chakraborty, Sanghamitra Roy, Amlan Chakrabarti:
Voltage Scaling for Partitioned Systolic Array in A Reconfigurable Platform. CoRR abs/2102.06888 (2021)
2010 – 2019
- 2019
- [c2]Swagata Mandal, Sreetama Sarkar, Ming Ming Wong, Anupam Chattopadhyay, Amlan Chakrabarti:
Criticality Aware Soft Error Mitigation in the Configuration Memory of SRAM Based FPGA. VLSID 2019: 257-262 - 2018
- [c1]Anish Pradhan, Soumi Basu, Sreetama Sarkar, Saptarshi Mitra, Sanjay Dhar Roy:
Implementation of relay hopper model for reliable communication of IoT devices in LTE environment through D2D link. COMSNETS 2018: 569-572 - [i1]Swagata Mandal, Sreetama Sarkar, Ming Ming Wong, Anupam Chattopadhyay, Amlan Chakrabarti:
Criticality Aware Soft Error Mitigation in the Configuration Memory of SRAM based FPGA. CoRR abs/1810.09661 (2018)
Coauthor Index
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