Syed Shakib Sarwar — accepted AI-conference papers

2024

POCA: Post-training Quantization with Temporal Alignment for Codec Avatars

Jian Meng*, Yuecheng Li*, Leo (Chenghui) Li, Syed Shakib Sarwar, Dilin Wang, Jae-sun Seo*

ECCV 2024poster

"Real-time decoding generates high-quality assets for rendering photorealistic Codec Avatars for immersive social telepresence with AR/VR. However, high-quality avatar decoding incurs expensive computation and memory consumption, which necessitates the design of a decoder compression algorithm (e.g.…

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2020

Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing

Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy

ICASSP 2020accepted

Spiking Neural Networks (SNNs), widely known as the third generation of neural networks, encode input information temporally using sparse spiking events, which can be harnessed to achieve higher computational efficiency for cognitive tasks. However, considering the rapid strides in accuracy enabled…

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