Robin Karlsson

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 16

Top Topics

Semantic Representations

Partial Observations

Compositional Semantics

Automotive Industry

Top Venues

IEEE Robotics Autom. Lett.

Publications

Robin Karlsson, Ruslan Asfandiyarov, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
Open-Vocabulary Predictive World Models from Sensor Observations. Sensors 24 (14) (2024)
Yingjie Niu, Ming Ding, Maoning Ge, Robin Karlsson, Yuxiao Zhang, Alexander Carballo, Kazuya Takeda
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut. Sensors 24 (9) (2024)
Robin Karlsson, Alexander Carballo, Francisco Lepe Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
Learning to Predict Navigational Patterns from Partial Observations. CoRR (2023)
Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
Predictive World Models from Real-World Partial Observations. MOST (2023)
Yingjie Niu, Ming Ding, Maoning Ge, Robin Karlsson, Yuxiao Zhang, Kazuya Takeda
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut. CoRR (2023)
Robin Karlsson, Francisco Lepe-Salazar, Kazuya Takeda
Compositional Semantics for Open Vocabulary Spatio-semantic Representations. CoRR (2023)
Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
Predictive World Models from Real-World Partial Observations. CoRR (2023)
Robin Karlsson, Alexander Carballo, Francisco Lepe Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
Learning to Predict Navigational Patterns From Partial Observations. IEEE Robotics Autom. Lett. 8 (9) (2023)
Robin Karlsson, David Robert Wong, Kazunari Kawabata, Simon Thompson, Naoki Sakai
Probabilistic Rainfall Estimation from Automotive Lidar. IV (2022)
Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda
Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment. BMVC (2022)
Robin Karlsson, David Robert Wong, Kazunari Kawabata, Simon Thompson, Naoki Sakai
Probabilistic Rainfall Estimation from Automotive Lidar. CoRR (2021)
Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda
ViCE: Self-Supervised Visual Concept Embeddings as Contextual and Pixel Appearance Invariant Semantic Representations. CoRR (2021)
Robin Karlsson, David Robert Wong, Simon Thompson, Kazuya Takeda
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision. ITSC (2021)
Robin Karlsson, David Robert Wong, Simon Thompson, Kazuya Takeda
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision. CoRR (2021)
Robin Karlsson, Erik Sjoberg
Learning a Directional Soft Lane Affordance Model for Road Scenes Using Self-Supervision. IV (2020)
Robin Karlsson, Erik Sjoberg
Learning a Directional Soft Lane Affordance Model for Road Scenes Using Self-Supervision. CoRR (2020)
Mikael Hammar, Robin Karlsson, Bengt J. Nilsson
Using maximum coverage to optimize recommendation systems in e-commerce. RecSys (2013)