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2020 – today
- 2024
[j4]Sandra Carrasco Limeros
, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, Miguel Ángel Sotelo, David Fernández Llorca:
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs. CAAI Trans. Intell. Technol. 9(3): 557-572 (2024)- [c11]Carl Lindström, Georg Hess, Adam Lilja, Maryam Fatemi, Lars Hammarstrand, Christoffer Petersson, Lennart Svensson:
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap. CVPR Workshops 2024: 4461-4471 - [c10]Oscar Carlsson, Jan E. Gerken, Hampus Linander, Heiner Spieß, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson:
HEAL-SWIN: A Vision Transformer on the Sphere. CVPR 2024: 6067-6077 - [c9]Adam Tonderski, Carl Lindström, Georg Hess, William Ljungbergh, Lennart Svensson, Christoffer Petersson:
NeuRAD: Neural Rendering for Autonomous Driving. CVPR 2024: 14895-14904 - [c8]William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson:
NeuroNCAP: Photorealistic Closed-Loop Safety Testing for Autonomous Driving. ECCV (30) 2024: 161-177 - [c7]Georg Hess, Adam Tonderski, Christoffer Petersson, Kalle Åström, Lennart Svensson:
LidarCLIP or: How I Learned to Talk to Point Clouds. WACV 2024: 7423-7432 - [i17]Carl Lindström, Georg Hess, Adam Lilja, Maryam Fatemi, Lars Hammarstrand, Christoffer Petersson, Lennart Svensson:
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap. CoRR abs/2403.16092 (2024) - [i16]William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson:
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving. CoRR abs/2404.07762 (2024) - 2023
- [j3]Jan E. Gerken, Jimmy Aronsson, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson:
Geometric deep learning and equivariant neural networks. Artif. Intell. Rev. 56(12): 14605-14662 (2023) - [c6]Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson:
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving. ICCV 2023: 20121-20131 - [c5]Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson:
You can have your ensemble and run it too - Deep Ensembles Spread Over Time. ICCV (Workshops) 2023: 4022-4031 - [c4]William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg:
Raw or Cooked? Object Detection on RAW Images. SCIA (1) 2023: 374-385 - [c3]Georg Hess, Johan Jaxing, Elias Svensson, David Hagerman, Christoffer Petersson, Lennart Svensson:
Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds. WACV (Workshops) 2023: 350-359 - [i15]William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg:
Raw or Cooked? Object Detection on RAW Images. CoRR abs/2301.08965 (2023) - [i14]Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson:
Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving. CoRR abs/2305.02008 (2023) - [i13]Oscar Carlsson, Jan E. Gerken, Hampus Linander, Heiner Spieß, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson:
HEAL-SWIN: A Vision Transformer On The Sphere. CoRR abs/2307.07313 (2023) - [i12]Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson:
You can have your ensemble and run it too - Deep Ensembles Spread Over Time. CoRR abs/2309.11333 (2023) - [i11]Adam Tonderski, Carl Lindström, Georg Hess, William Ljungbergh, Lennart Svensson, Christoffer Petersson:
NeuRAD: Neural Rendering for Autonomous Driving. CoRR abs/2311.15260 (2023) - 2022
- [j2]Nicolò Ghielmetti, Vladimir Loncar, Maurizio Pierini, Marcel Roed, Sioni Summers, Thea Aarrestad, Christoffer Petersson, Hampus Linander, Jennifer Ngadiuba, Kelvin Lin, Philip C. Harris:
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml. Mach. Learn. Sci. Technol. 3(4): 45011 (2022) - [c2]Georg Hess, Christoffer Petersson, Lennart Svensson:
Object Detection as Probabilistic Set Prediction. ECCV (10) 2022: 550-566 - [c1]Jan E. Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson:
Equivariance versus Augmentation for Spherical Images. ICML 2022: 7404-7421 - [i10]Jan E. Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson:
Equivariance versus Augmentation for Spherical Images. CoRR abs/2202.03990 (2022) - [i9]Georg Hess, Christoffer Petersson, Lennart Svensson:
Object Detection as Probabilistic Set Prediction. CoRR abs/2203.07980 (2022) - [i8]Adam Tonderski, Joakim Johnander, Christoffer Petersson, Kalle Åström:
Learning Future Object Prediction with a Spatiotemporal Detection Transformer. CoRR abs/2204.10321 (2022) - [i7]Nicolò Ghielmetti, Vladimir Loncar, Maurizio Pierini, Marcel Roed, Sioni Summers, Thea Aarrestad, Christoffer Petersson, Hampus Linander, Jennifer Ngadiuba, Kelvin Lin, Philip C. Harris:
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml. CoRR abs/2205.07690 (2022) - [i6]Georg Hess, Johan Jaxing, Elias Svensson, David Hagerman, Christoffer Petersson, Lennart Svensson:
Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds. CoRR abs/2207.00531 (2022) - [i5]Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, Miguel Ángel Sotelo, David Fernández Llorca:
Towards Trustworthy Multi-Modal Motion Prediction: Evaluation and Interpretability. CoRR abs/2210.16144 (2022) - [i4]Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, David Fernández Llorca:
Towards Explainable Motion Prediction using Heterogeneous Graph Representations. CoRR abs/2212.03806 (2022) - [i3]Georg Hess, Adam Tonderski, Christoffer Petersson, Lennart Svensson, Kalle Åström:
LidarCLIP or: How I Learned to Talk to Point Clouds. CoRR abs/2212.06858 (2022) - 2021
- [j1]Thea Aarrestad, Vladimir Loncar, Nicolò Ghielmetti, Maurizio Pierini, Sioni Summers, Jennifer Ngadiuba, Christoffer Petersson, Hampus Linander, Yutaro Iiyama, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Kevin Pedro, Nhan Tran, Mia Liu, Edward Kreinar, Zhenbin Wu, Duc Hoang:
Fast convolutional neural networks on FPGAs with hls4ml. Mach. Learn. Sci. Technol. 2(4): 45015 (2021) - [i2]Thea Aarrestad, Vladimir Loncar, Maurizio Pierini, Sioni Summers, Jennifer Ngadiuba, Christoffer Petersson, Hampus Linander, Yutaro Iiyama, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Dylan S. Rankin, Sergo Jindariani, Kevin Pedro, Nhan Tran, Mia Liu, Edward Kreinar, Zhenbin Wu, Duc Hoang:
Fast convolutional neural networks on FPGAs with hls4ml. CoRR abs/2101.05108 (2021) - [i1]Jan E. Gerken, Jimmy Aronsson, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson:
Geometric Deep Learning and Equivariant Neural Networks. CoRR abs/2105.13926 (2021)
Coauthor Index
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