SLPC: A VRNN-based approach for stochastic lidar prediction and completion in autonomous driving. - George Eskandar; Alexander Braun 003; Martin Meinke; Karim Armanious; Bin Yang 009 (EUSIPCO, 2021)

Contrastive Object Detection Using Knowledge Graph Embeddings. - Christopher Lang; Alexander Braun 003; Abhinav Valada (CoRR, 2021)

On Hyperbolic Embeddings in Object Detection. - Christopher Lang; Alexander Braun 003; Lars Schillingmann; Abhinav Valada (GCPR, 2022)

Robust Object Detection Using Knowledge Graph Embeddings. - Christopher Lang; Alexander Braun 003; Abhinav Valada (GCPR, 2022)

On Hyperbolic Embeddings in 2D Object Detection. - Christopher Lang; Alexander Braun 003; Abhinav Valada (CoRR, 2022)

Self-Supervised Multi-Object Tracking From Consistency Across Timescales. - Christopher Lang; Alexander Braun 003; Lars Schillingmann; Abhinav Valada (CoRR, 2023)

Self-Supervised Multi-Object Tracking for Autonomous Driving From Consistency Across Timescales. - Christopher Lang; Alexander Braun 003; Lars Schillingmann; Abhinav Valada (IEEE Robotics Autom. Lett., 2023)

A Point-Based Approach to Efficient LiDAR Multi-Task Perception. - Christopher Lang; Alexander Braun 003; Lars Schillingmann; Abhinav Valada (IROS, 2024)

Self-Supervised Representation Learning From Temporal Ordering of Automated Driving Sequences. - Christopher Lang; Alexander Braun 003; Lars Schillingmann; Karsten Haug; Abhinav Valada (IEEE Robotics Autom. Lett., 2024)