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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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