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ORCIDLakshman Balasubramanian
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2020 – today
- 2024
[c10]Alexander Fertig
, Lakshman Balasubramanian, Michael Botsch:
Clustering and Anomaly Detection in Embedding Spaces for the Validation of Automotive Sensors. IV 2024: 1076-1083- [c9]Karthikeyan Chandra Sekaran, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick:
Open-Set Object Detection for the Identification and Localization of Dissimilar Novel Classes by means of Infrastructure Sensors. IV 2024: 1643-1650 - 2023
- [j1]Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng:
Open-World Learning for Traffic Scenarios Categorisation. IEEE Trans. Intell. Veh. 8(5): 3506-3521 (2023) - [c8]Michael Botsch, Werner Huber, Lakshman Balasubramanian, Alberto Flores Fernández, Markus Geisler, Christian Gudera, Mauricio Rene Morales Gomez, Peter Riegl, Eduardo Sánchez Morales, Karthikeyan Chandra Sekaran:
Data Collection and Safety Use Cases in Smart Infrastructures. AutomotiveUI (Adjunct Proceedings) 2023: 333-336 - [c7]Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng:
SceneDiffusion: Conditioned Latent Diffusion Models for Traffic Scene Prediction. ITSC 2023: 3914-3921 - [c6]Karthikeyan Chandra Sekaran, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick:
Metric Learning Based Class Specific Experts for Open-Set Recognition of Traffic Participants in Urban Areas Using Infrastructure Sensors. IV 2023: 1-8 - 2022
- [c5]Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng:
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios. ITSC 2022: 1471-1478 - [c4]Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick:
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios. IV 2022: 484-491 - [i5]Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng:
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios. CoRR abs/2207.08609 (2022) - [i4]Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick:
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios. CoRR abs/2207.09120 (2022) - 2021
- [c3]Lakshman Balasubramanian, Friedrich Kruber, Michael Botsch, Ke Deng:
Open-Set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios. IV 2021: 674-681 - [c2]Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng:
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity. IV 2021: 682-689 - [c1]Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick:
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder. IV 2021: 1304-1311 - [i3]Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick:
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder. CoRR abs/2105.01924 (2021) - [i2]Lakshman Balasubramanian, Friedrich Kruber, Michael Botsch, Ke Deng:
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios. CoRR abs/2105.07635 (2021) - [i1]Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng:
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity. CoRR abs/2105.07639 (2021)
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