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• SF3D-RGB: Scene Flow Estimation from Monocular Camera and Sparse LiDAR
  2026
• LiREC-Net: A Target-Free and Learning-Based Network for LiDAR, RGB, and Event Calibration
  2026
• Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions
  2025
• Combining Stereo Disparity and Optical Flow for Basic Scene Flow
  2018
• Dense Scene Flow from Stereo Disparity and Optical Flow
  2018
• Automated Scene Flow Data Generation for Training and Verification
  2018
• DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR
  2020
• SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation
  2020
• HPERL: 3D Human Pose Estimation from RGB and LiDAR
  2020
• MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow
  2020
• A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions
  2020
• Learned Fusion: 3D Object Detection using Calibration-Free Transformer Feature Fusion
  2023
• EgoFlowNet: Non-Rigid Scene Flow from Point Clouds with Ego-Motion Support
  2024
• ShapeAug++: More Realistic Shape Augmentation for Event Data
  2024
• Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation
  2024