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Govardhan Mattela
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2020 – today
- 2022
- [j3]Chandrajit Pal
, Sunil Pankaj, Wasim Akram, Dwaipayan Biswas, Govardhan Mattela, Amit Acharyya:
Fragmented Huffman-Based Compression Methodology for CNN Targeting Resource-Constrained Edge Devices. Circuits Syst. Signal Process. 41(7): 3957-3984 (2022) - [j2]Govardhan Mattela, Manmohan Tripathi, Chandrajit Pal
A Novel Approach in WiFi CSI-Based Fall Detection. SN Comput. Sci. 3(3): 214 (2022) - 2021
- [c5]Govardhan Mattela, Manmohan Tripathi, Chandrajit Pal
A novel deep neural design and efficient Pipeline architecture for Person Re-Identification in high resolution Video. COMSNETS 2021: 34-38 - 2020
- [j1]Nandan Kumar Jha, Sparsh Mittal, Binod Kumar, Govardhan Mattela:
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs. ACM J. Emerg. Technol. Comput. Syst. 17(1): 5:1-5:25 (2020) - [c4]Govinda Rao Nidigattu, Govardhan Mattela, Sayan Jana:
Non-invasive modeling of heart rate and blood pressure from a photoplethysmography by using machine learning techniques. COMSNETS 2020: 7-12 - [c3]Govardhan Mattela, Manmohan Tripathi, Chandrajit Pal
An Efficient Pipeline for Distant Person Detection and Identification in 4K Video using GPUs. COMSNETS 2020: 744-749 - [i2]Nandan Kumar Jha, Sparsh Mittal, Govardhan Mattela:
The Ramifications of Making Deep Neural Networks Compact. CoRR abs/2006.15098 (2020) - [i1]Nandan Kumar Jha, Sparsh Mittal, Binod Kumar, Govardhan Mattela:
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs. CoRR abs/2007.15248 (2020)
2010 – 2019
- 2019
- [c2]Govardhan Mattela, Chandrajit Pal
Enterprise Class Deep Neural Network Architecture for recognizing objects and faces for surveillance systems. COMSNETS 2019: 607-612 - [c1]Nandan Kumar Jha, Sparsh Mittal
The Ramifications of Making Deep Neural Networks Compact. VLSID 2019: 215-220
Coauthor Index
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