Lakshman Balasubramanian

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Novelty Detection

Top Venues

IEEE Trans. Intell. Veh.

Publications

Alexander Fertig, Lakshman Balasubramanian, Michael Botsch
Clustering and Anomaly Detection in Embedding Spaces for the Validation of Automotive Sensors. IV (2024)
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)
Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng
SceneDiffusion: Conditioned Latent Diffusion Models for Traffic Scene Prediction. ITSC (2023)
Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng
Open-World Learning for Traffic Scenarios Categorisation. IEEE Trans. Intell. Veh. 8 (5) (2023)
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)
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)
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios. IV (2022)
Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios. ITSC (2022)
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios. CoRR (2022)
Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios. CoRR (2022)
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 (2021)
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)
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)
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)
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 (2021)
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 (2021)