Lakshman Balasubramanian

19 papers C 7Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Online Monitoring Framework for Automotive Time Series Data using JEPA Embeddings.
CoRR
Alexander Fertig, Karthikeyan Chandra Sekaran, Lakshman Balasubramanian, Michael Botsch
2026 J jnl
Person Re-ID in 2025: Supervised, Self-Supervised, and Language-Aligned. What Works?
CoRR
Lakshman Balasubramanian
2025 J jnl
Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction.
CoRR
Alexander Fertig, Lakshman Balasubramanian, Michael Botsch
2024 C conf
Clustering and Anomaly Detection in Embedding Spaces for the Validation of Automotive Sensors.
IV
Alexander Fertig, Lakshman Balasubramanian, Michael Botsch
2024 C conf
Open-Set Object Detection for the Identification and Localization of Dissimilar Novel Classes by means of Infrastructure Sensors.
IV
Karthikeyan Chandra Sekaran, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
2023 — conf
Data Collection and Safety Use Cases in Smart Infrastructures.
AutomotiveUI (Adjunct Proceedings)
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
2023 C conf
Metric Learning Based Class Specific Experts for Open-Set Recognition of Traffic Participants in Urban Areas Using Infrastructure Sensors.
IV
Karthikeyan Chandra Sekaran, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
2023 J jnl
Open-World Learning for Traffic Scenarios Categorisation.
IEEE Trans. Intell. Veh.
Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng
2023 — conf
SceneDiffusion: Conditioned Latent Diffusion Models for Traffic Scene Prediction.
ITSC
Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng
2022 — conf
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios.
ITSC
Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng
2022 J jnl
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios.
CoRR
Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng
2022 C conf
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios.
IV
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
2022 J jnl
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios.
CoRR
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
2021 C conf
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder.
IV
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
2021 J jnl
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder.
CoRR
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
2021 C conf
Open-Set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios.
IV
Lakshman Balasubramanian, Friedrich Kruber, Michael Botsch, Ke Deng
2021 J jnl
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios.
CoRR
Lakshman Balasubramanian, Friedrich Kruber, Michael Botsch, Ke Deng
2021 C conf
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity.
IV
Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng
2021 J jnl
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity.
CoRR
Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng