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Ramy Battrawy

E-Mail: ramy.battrawy@dfki.de
Position: Researcher
Phone: +49 631 20575-3690
Fax: +49 631 20575-3520
10 Publications by Ramy Battrawy:

RMS-FlowNet++: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds
Ramy Battrawy, René Schuster, Didier Stricker
In: International Journal of Computer Vision (IJCV), Vol. 132, Pages 01-22, Springer, 5/2024.
Details | Link 1

MSDE: Multi-Scale Disparity Estimation Model From Stereo Images
Ahmed Alghoul, Mhd Rashed Al Koutayni, Ramy Battrawy, Didier Stricker, Wesam Ashour
In: Journal of Autonomous Intelligence, Vol. 7, Pages 1-15, Frontier Scientific Publishing, 2024.
Details | Link 1

EvLiDAR-Flow: Attention-Guided Fusion between Point Clouds and Events for Scene Flow Estimation
Ankit Sonthalia, Ramy Battrawy, René Schuster, Didier Stricker
In: International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2023), February 22-24, Lissabon, Portugal, Scitepress, 2023.
Details | Link 1

Accelerating the Run-Time of Convolutional Neural Networks through Weight Pruning and Quantization
Rajai Alhimdiat, Wesam Ashour, Ramy Battrawy, Didier Stricker
In: International Engineering Conference on Renewable Energy & Sustainability. International Engineering Conference on Renewable Energy & Sustainability (ieCRES-2023), International Engineering Conference on Renewable Energy & Sustainability, located at The 8th International Engineering Conference on Renewable Energy & Sustainability, March 6-7, Gaza, Palestinian Territory, Occupied, IEEE, 2023.
Details | Link 1

EgoFlowNet: Non-Rigid Scene Flow from Point Clouds with Ego-Motion Support
Ramy Battrawy, René Schuster, Didier Stricker
In: British Machine Vision Conference. British Machine Vision Conference (BMVC-2023), located at The 34th British Machine Vision Conference, November 20-24, Aberdeen, Scotland, United Kingdom, BMVA, 2023.
Details | Link 1 | Link 2 | Link 3 | Link 4

RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds
Ramy Battrawy, René Schuster, Mohammad-Ali Nikouei Mahani, Didier Stricker
In: International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2022), IEEE International Conference on Robotics and Automation, May 23-27, Philadelphia, Pennsylvania (PA), USA, IEEE, 2022.
Details | Link 1 | Link 2 | Link 3 | Link 4

deepRGBXYZ: Dense Pixel Description Utilizing RGB and Depth with Stacked Dilated Convolutions
Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker
International Conference on Intelligent Transportation Systems. IEEE Intelligent Transportation Systems Conference (IEEE ITSC-2020) September 20-23 Rhodes Greece IEEE 9/2020 .
Details | Link 1

ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching
Rishav Rishav, René Schuster, Ramy Battrawy, Oliver Wasenmüller, Didier Stricker
International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2021) January 12-15 Mailand Italy IEEE 1/2021 .
Details | Link 1

DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR
Rishav Rishav, Ramy Battrawy, René Schuster, Oliver Wasenmüller, Didier Stricker
International conference in robotics and intelligent systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2020) October 25-29 Las Vegas NV United States Minor Outlying Islands IEEE 10/2020 .
Details | Link 1

LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images
Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker
International conference in robotics and intelligent systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2019) IEEE/RSJ International Conference on Intelligent Robots and Systems November 4-8 MACAO, CHINA Macao SAR of China IEEE 2019 .
Details | Link 1