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Author

Ryan Razani

Observed name: Razani, Ryan
OpenAlex ID: A5004384330
(AF) 2 -S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
2021 · Ran Cheng, Ryan Razani, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 295
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Adaptive Hierarchical Down-Sampling for Point Cloud Classification
2020 · Ehsan Nezhadarya, Ehsan Taghavi, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 163
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TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module
2021 · Martin Gerdzhev, Ryan Razani, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 89
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Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions
2021 · Ryan Razani, Ran Cheng, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 80
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GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network
2021 · Ryan Razani, Ran Cheng, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 56
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S3Net: 3D LiDAR Sparse Semantic Segmentation Network
2021 · Ran Cheng, Ryan Razani, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 53
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CPSeg: Cluster-free Panoptic Segmentation of 3D LiDAR Point Clouds
2023 · Enxu Li, Ryan Razani, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 24
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Adaptive Binary-Ternary Quantization
2021 · Ryan Razani, Gregoire Morin, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 22
SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering
2022 · Enxu Li, Ryan Razani, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 20
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A reduced complexity MFCC-based deep neural network approach for speech enhancement
2017 · Ryan Razani, Hanwook Chung, et al. · IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) · 10
Adaptive Binary-Ternary Quantization
2019 · Razani, Ryan, Morin, Grégoire, et al. · arXiv (Cornell University) · 3
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Smart Ternary Quantization.
2019 · Grégoire Morin, Ryan Razani, et al. · arXiv (Cornell University) · 2
The Waste Water as a Source of Information for the Urban Agglomerations Management
2018 · Martina Drahosova, Peter Balco, et al. · IEEE Electrical Power and Energy Conference (EPEC)
Works count: 13
Citation count: 817
H-index: 10
I10-index: 10
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