Search Results for author: Mehrdad Khani

Found 4 papers, 3 papers with code

Gemino: Practical and Robust Neural Compression for Video Conferencing

no code implementations21 Sep 2022 Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy, Mehrdad Khani, Sadjad Fouladi, Mohammad Alizadeh, Frédo Durand, Vivienne Sze

We design Gemino, a new neural compression system for video conferencing based on a novel high-frequency-conditional super-resolution pipeline.


Efficient Video Compression via Content-Adaptive Super-Resolution

1 code implementation ICCV 2021 Mehrdad Khani, Vibhaalakshmi Sivaraman, Mohammad Alizadeh

SRVC decodes the video by passing the decompressed low-resolution video frames through the (time-varying) super-resolution model to reconstruct high-resolution video frames.

Super-Resolution Video Compression

Real-Time Video Inference on Edge Devices via Adaptive Model Streaming

1 code implementation ICCV 2021 Mehrdad Khani, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh

Real-time video inference on edge devices like mobile phones and drones is challenging due to the high computation cost of Deep Neural Networks.

Knowledge Distillation Semantic Segmentation +2

Adaptive Neural Signal Detection for Massive MIMO

1 code implementation11 Jun 2019 Mehrdad Khani, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming

We propose MMNet, a deep learning MIMO detection scheme that significantly outperforms existing approaches on realistic channels with the same or lower computational complexity.

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