| DeepLiDARFlow: A deep learning architecture for scene flow estimation using monocular camera and sparse LiDAR R Rishav, R Battrawy, R Schuster, O Wasenmüller, D Stricker 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 28 | 2020 |
| Lidar-flow: Dense scene flow estimation from sparse lidar and stereo images R Battrawy, R Schuster, O Wasenmüller, Q Rao, D Stricker 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 27 | 2019 |
| Rms-flownet: Efficient and robust multi-scale scene flow estimation for large-scale point clouds R Battrawy, R Schuster, MAN Mahani, D Stricker 2022 International Conference on Robotics and Automation (ICRA), 883-889, 2022 | 14 | 2022 |
| ResFPN: Residual skip connections in multi-resolution feature pyramid networks for accurate dense pixel matching R Schuster, R Battrawy, O Wasenmüller, D Stricker 2020 25th International Conference on Pattern Recognition (ICPR), 180-187, 2021 | 7 | 2021 |
| Accelerating the Run-Time of Convolutional Neural Networks through Weight Pruning and Quantization R Alhimdiat, W Ashour, R Battrawy, D Stricker 2023 8th International Engineering Conference on Renewable Energy …, 2023 | 1 | 2023 |
| Original Research Article MSDE: Multi-scale disparity estimation model from stereo images A Alghoul, MR Al Koutayni, R Battrawy, D Stricker, W Ashour Journal of Autonomous Intelligence 7 (5), 2024 | | 2024 |
| EvLiDAR-Flow: Attention-Guided Fusion Between Point Clouds and Events for Scene Flow Estimation. A Sonthalia, R Battrawy, R Schuster, D Stricker ICPRAM, 733-742, 2023 | | 2023 |
| EgoFlowNet: Non-Rigid Scene Flow from Point Clouds with Ego-Motion Support R Battrawy, R Schuster, D Stricker | | 2022 |
| deepRGBXYZ: Dense Pixel Description Utilizing RGB and Depth with Stacked Dilated Convolutions R Battrawy, R Schuster, O Wasenmüller, Q Rao, D Stricker 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | | 2020 |
| Handflownet: Scene Flow Based Deep Network for Hand Reconstruction Using Depth Images A Anwer, J Malik, A Elhayek, R Battrawy, D Stricker Available at SSRN 4806926, 0 | | |
