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2020 – today
- 2024
[j3]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): 2695 (2024)- [j2]Robin Karlsson, Ruslan Asfandiyarov, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Open-Vocabulary Predictive World Models from Sensor Observations. Sensors 24(14): 4735 (2024) - [i9]Yan Feng, Alexander Carballo, Keisuke Fujii, Robin Karlsson, Ming Ding, Kazuya Takeda:
MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action Prediction. CoRR abs/2409.09446 (2024) - 2023
- [j1]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): 5592-5599 (2023) - [c6]Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Predictive World Models from Real-World Partial Observations. MOST 2023: 152-166 - [i8]Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Predictive World Models from Real-World Partial Observations. CoRR abs/2301.04783 (2023) - [i7]Robin Karlsson, Alexander Carballo, Francisco Lepe Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Learning to Predict Navigational Patterns from Partial Observations. CoRR abs/2304.13242 (2023) - [i6]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 abs/2307.09050 (2023) - [i5]Robin Karlsson, Francisco Lepe-Salazar, Kazuya Takeda:
Compositional Semantics for Open Vocabulary Spatio-semantic Representations. CoRR abs/2310.04981 (2023) - 2022
- [c5]Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda:
Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment. BMVC 2022: 699 - [c4]Robin Karlsson, David Robert Wong, Kazunari Kawabata, Simon Thompson, Naoki Sakai:
Probabilistic Rainfall Estimation from Automotive Lidar. IV 2022: 37-44 - 2021
- [c3]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: 812-819 - [i4]Robin Karlsson, David Robert Wong, Kazunari Kawabata, Simon Thompson, Naoki Sakai:
Probabilistic Rainfall Estimation from Automotive Lidar. CoRR abs/2104.11467 (2021) - [i3]Robin Karlsson, David Robert Wong, Simon Thompson, Kazuya Takeda:
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision. CoRR abs/2107.01784 (2021) - [i2]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 abs/2111.12460 (2021) - 2020
- [c2]Robin Karlsson, Erik Sjoberg:
Learning a Directional Soft Lane Affordance Model for Road Scenes Using Self-Supervision. IV 2020: 1141-1148 - [i1]Robin Karlsson, Erik Sjoberg:
Learning a Directional Soft Lane Affordance Model for Road Scenes Using Self-Supervision. CoRR abs/2002.11477 (2020)
2010 – 2019
- 2013
- [c1]Mikael Hammar, Robin Karlsson, Bengt J. Nilsson:
Using maximum coverage to optimize recommendation systems in e-commerce. RecSys 2013: 265-272
Coauthor Index
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