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Christoffer Petersson
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2020 – today
- 2023
- [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 - [i12]William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg:
Raw or Cooked? Object Detection on RAW Images. CoRR abs/2301.08965 (2023) - [i11]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) - 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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last updated on 2023-05-18 22:15 CEST by the dblp team
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