Robin Karlsson

According to our database, Robin Karlsson authored at least 10 papers between 2013 and 2023.

Collaborative distances:

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

2023

Learning to Predict Navigational Patterns From Partial Observations.

Robin Karlsson, Alexander Carballo, Francisco Lepe Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda

IEEE Robotics Autom. Lett., September, 2023

Compositional Semantics for Open Vocabulary Spatio-semantic Representations.

Robin Karlsson, Francisco Lepe-Salazar, Kazuya Takeda

CoRR, 2023

R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut.

Yingjie Niu, Ming Ding, Maoning Ge, Robin Karlsson, Yuxiao Zhang, Kazuya Takeda

CoRR, 2023

Predictive World Models from Real-World Partial Observations.

Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda

Proceedings of the IEEE International Conference on Mobility, 2023

2022

Probabilistic Rainfall Estimation from Automotive Lidar.

Robin Karlsson, David Robert Wong, Kazunari Kawabata, Simon Thompson, Naoki Sakai

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment.

Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

ViCE: Self-Supervised Visual Concept Embeddings as Contextual and Pixel Appearance Invariant Semantic Representations.

Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda

CoRR, 2021

Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision.

Robin Karlsson, David Robert Wong, Simon Thompson, Kazuya Takeda

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Learning a Directional Soft Lane Affordance Model for Road Scenes Using Self-Supervision.

Robin Karlsson, Erik Sjoberg

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2013

Using maximum coverage to optimize recommendation systems in e-commerce.

Mikael Hammar, Robin Karlsson, Bengt J. Nilsson

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013