Ryan Razani

According to our database, Ryan Razani authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds.

Enxu Li, Ryan Razani, Yixuan Xu, Bingbing Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering.

Enxu Li, Ryan Razani, Yixuan Xu, Bingbing Liu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions.

Ryan Razani, Ran Cheng, Ehsan Taghavi, Bingbing Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module.

Martin Gerdzhev, Ryan Razani, Ehsan Taghavi, Bingbing Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

S3Net: 3D LiDAR Sparse Semantic Segmentation Network.

Ran Cheng, Ryan Razani, Yuan Ren, Bingbing Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network.

Ryan Razani, Ran Cheng, Enxu Li, Ehsan Taghavi, Yuan Ren, Bingbing Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adaptive Binary-Ternary Quantization.

Ryan Razani, Grégoire Morin, Eyyüb Sari, Vahid Partovi Nia

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

(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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Adaptive Hierarchical Down-Sampling for Point Cloud Classification.

Ehsan Nezhadarya, Ehsan Taghavi, Ryan Razani, Bingbing Liu, Jun Luo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Smart Ternary Quantization.

Grégoire Morin, Ryan Razani, Vahid Partovi Nia, Eyyüb Sari

CoRR, 2019

2017

A reduced complexity MFCC-based deep neural network approach for speech enhancement.

Ryan Razani, Hanwook Chung, Yazid Attabi, Benoît Champagne

Proceedings of the 2017 IEEE International Symposium on Signal Processing and Information Technology, 2017