Robin Karlsson

18 papers A 2C 2Journal 12Unranked 2

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