A reduced complexity MFCC-based deep neural network approach for speech enhancement. - Ryan Razani; Hanwook Chung; Yazid Attabi; Benoît Champagne 001 (ISSPIT, 2017)

Smart Ternary Quantization. - Grégoire Morin; Ryan Razani; Vahid Partovi Nia; Eyyüb Sari (CoRR, 2019)

Adaptive Hierarchical Down-Sampling for Point Cloud Classification. - Ehsan Nezhadarya; Ehsan Taghavi; Ryan Razani; Bingbing Liu; Jun Luo (CVPR, 2020)

(AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network. - Ran Cheng; Ryan Razani; Ehsan Taghavi; Enxu Li; Bingbing Liu (CVPR, 2021)

Adaptive Binary-Ternary Quantization. - Ryan Razani; Grégoire Morin; Eyyüb Sari; Vahid Partovi Nia (CVPR Workshops, 2021)

GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network. - Ryan Razani; Ran Cheng; Enxu Li; Ehsan Taghavi; Yuan Ren; Bingbing Liu (ICCV, 2021)

S3Net: 3D LiDAR Sparse Semantic Segmentation Network. - Ran Cheng; Ryan Razani; Yuan Ren; Bingbing Liu (ICRA, 2021)

TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module. - Martin Gerdzhev; Ryan Razani; Ehsan Taghavi; Bingbing Liu (ICRA, 2021)

Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions. - Ryan Razani; Ran Cheng; Ehsan Taghavi; Bingbing Liu (ICRA, 2021)

SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering. - Enxu Li; Ryan Razani; Yixuan Xu; Bingbing Liu (ICRA, 2022)

CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds. - Enxu Li; Ryan Razani; Yixuan Xu; Bingbing Liu (ICRA, 2023)