| 2026 | WACV | ⚡FLARES⚡: Fast and Accurate LiDAR Multi-Range Semantic Segmentation. | Bin Yang, Alexandru Paul Condurache |
| 2025 | CVPR | Efficient Data Driven Mixture-of-Expert Extraction from Trained Networks. | Uranik Berisha, Jens Mehnert, Alexandru Paul Condurache |
| 2025 | ECAI | PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs. | Lukas Meiner, Jens Mehnert, Alexandru Paul Condurache |
| 2025 | ICCV | Variance-Based Pruning for Accelerating and Compressing Trained Networks. | Uranik Berisha, Jens Mehnert, Alexandru Paul Condurache |
| 2025 | ICCV | PseudoMapTrainer: Learning Online Mapping without HD Maps. | Christian Lwens, Thorben Funke, Jingchao Xie, Alexandru Paul Condurache |
| 2025 | ICCV | SparseLaneSTP: Leveraging Spatio-Temporal Priors with Sparse Transformers for 3D Lane Detection. | Maximilian Pittner, Joel Janai, Mario Faigle, Alexandru Paul Condurache |
| 2025 | IJCNN | FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging. | Ali Alawieh, Alexandru Paul Condurache |
| 2025 | IROS | Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error Feedback. | Steffen Hagedorn, Aron Distelzweig, Marcel Hallgarten, Alexandru Paul Condurache |
| 2025 | VISIGRAPP | Data-Free Dynamic Compression of CNNs for Tractable Efficiency. | Lukas Meiner, Jens Mehnert, Alexandru Paul Condurache |
| 2024 | BMVC | Unsupervised Point Cloud Registration with Self-Distillation. | Christian Lwens, Thorben Funke, Andr Wagner, Alexandru Paul Condurache |
| 2024 | CVPR | LaneCPP: Continuous 3D Lane Detection Using Physical Priors. | Maximilian Pittner, Joel Janai, Alexandru Paul Condurache |
| 2023 | AISTATS | Deep Neural Networks with Efficient Guaranteed Invariances. | Matthias Rath, Alexandru Paul Condurache |
| 2023 | IJCNN | GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations. | Julia Lust, Alexandru Paul Condurache |
| 2020 | ESANN | GraN: An Efficient Gradient-Norm Based Detector for Adversarial and Misclassified Examples. | Julia Lust, Alexandru Paul Condurache |
| 2020 | ESANN | Invariant Integration in Deep Convolutional Feature Space. | Matthias Rath, Alexandru Paul Condurache |
| 2018 | ECCV | SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images. | Benjamin Coors, Alexandru Paul Condurache, Andreas Geiger |
| 2013 | ICPRAM | Accelerated Nonlinear Gaussianization for Feature Extraction. | Alexandru Paul Condurache, Alfred Mertins |
| 2013 | MVA | Automated Intrusion Detection for Video Surveillance Using Conditional Random Fields. | Dierck Matern, Alexandru Paul Condurache, Alfred Mertins |
| 2012 | ICPRAM | Event Detection using Log-linear Models for Coronary Contrast Agent Injections. | Dierck Matern, Alexandru Paul Condurache, Alfred Mertins |