Abhishek Vivekanandan

According to our database, Abhishek Vivekanandan authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Recall to Predict: Grounding Motion Forecasting in Interpretable Motion Bank.

Abhishek Vivekanandan, Ahmed Abouelazm, J. Marius Zöllner

CoRR, May, 2026

2025

RetroMotion: Retrocausal Motion Forecasting Models are Instructable.

Royden Wagner, Ömer Sahin Tas, Felix Hauser, Marlon Steiner, Dominik Strutz, Abhishek Vivekanandan, Carlos Fernández, Christoph Stiller

CoRR, May, 2025

Generative AI for Autonomous Driving: A Review.

Katharina Winter, Abhishek Vivekanandan, Rupert Polley, Yinzhe Shen, Christian Schlauch, Mohamed-Khalil Bouzidi, Bojan Derajic, Natalie Grabowsky, Annajoyce Mariani, Dennis Rochau, Giovanni Lucente, Harsh Yadav, Firas Mualla, Adam Molin, Sebastian Bernhard, Christian Wirth, Ömer Sahin Tas, Nadja Klein, Fabian B. Flohr, Hanno Gottschalk

CoRR, May, 2025

Efficient Data Representation for Motion Forecasting: A Scene-Specific Trajectory Set Approach.

Abhishek Vivekanandan, J. Marius Zöllner

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories.

Abhishek Vivekanandan, Christian Hubschneider, J. Marius Zöllner

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

2024

Empowering Autonomous Shuttles with Next-Generation Infrastructure.

Sven Ochs, Melih Yazgan, Rupert Polley, Albert Schotschneider, Stefan Orf, Marc Uecker, Maximilian Zipfl, Julian Burger, Abhishek Vivekanandan, Jennifer Amritzer, Marc René Zofka, Tobias Fleck, Ahmed Abouelazm, Mihai Kocsis, J. Marius Zöllner

Dataset, September, 2024

Scene-Specific Trajectory Sets: Maximizing Representation in Motion Forecasting.

Abhishek Vivekanandan, J. Marius Zöllner

CoRR, 2024

KI-PMF: Knowledge Integrated Plausible Motion Forecasting.

Abhishek Vivekanandan, Ahmed Abouelazm, Philip Schörner, J. Marius Zöllner

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Empowering Autonomous Shuttles with Next-Generation Infrastructure.

Sven Ochs, Melih Yazgan, Rupert Polley, Albert Schotschneider, Stefan Orf, Marc Uecker, Maximilian Zipfl, Julian Burger, Abhishek Vivekanandan, Jennifer Amritzer, Marc René Zofka, J. Marius Zöllner

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2022

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.

Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer

CoRR, 2022

Plausibility Verification for 3D Object Detectors Using Energy-Based Optimization.

Abhishek Vivekanandan, Niels Maier, J. Marius Zöllner

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022