Fast convolutional neural networks on FPGAs with hls4ml. - 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; et al. (CoRR, 2021)

Fast convolutional neural networks on FPGAs with hls4ml. - 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; et al. (Mach. Learn. Sci. Technol., 2021)

Object Detection as Probabilistic Set Prediction. - Georg Hess; Christoffer Petersson; Lennart Svensson (ECCV (10), 2022)

Equivariance versus Augmentation for Spherical Images. - Jan E. Gerken; Oscar Carlsson; Hampus Linander; Fredrik Ohlsson; Christoffer Petersson; Daniel Persson (ICML, 2022)

Learning Future Object Prediction with a Spatiotemporal Detection Transformer. - Adam Tonderski; Joakim Johnander; Christoffer Petersson; Kalle Åström (CoRR, 2022)

Masked Autoencoders for Self-Supervised Learning on Automotive Point Clouds. - Georg Hess; Johan Jaxing; Elias Svensson; David Hagerman; Christoffer Petersson; Lennart Svensson (CoRR, 2022)

Towards Trustworthy Multi-Modal Motion Prediction: Evaluation and Interpretability. - Sandra Carrasco Limeros; Sylwia Majchrowska; Joakim Johnander; Christoffer Petersson; Miguel Ángel Sotelo; David Fernández Llorca (CoRR, 2022)

Towards Explainable Motion Prediction using Heterogeneous Graph Representations. - Sandra Carrasco Limeros; Sylwia Majchrowska; Joakim Johnander; Christoffer Petersson; David Fernández Llorca (CoRR, 2022)

Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml. - Nicolò Ghielmetti; Vladimir Loncar; Maurizio Pierini; Marcel Roed; Sioni Summers; Thea Aarrestad; Christoffer Petersson; Hampus Linander; Jennifer Ngadiuba; Kelvin Lin; Philip C. Harris (Mach. Learn. Sci. Technol., 2022)

Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving. - Mina Alibeigi; William Ljungbergh; Adam Tonderski; Georg Hess; Adam Lilja; Carl Lindström; Daria Motorniuk; Junsheng Fu; Jenny Widahl; Christoffer Petersson (ICCV, 2023)

You can have your ensemble and run it too - Deep Ensembles Spread Over Time. - Isak Meding; Alexander Bodin; Adam Tonderski; Joakim Johnander; Christoffer Petersson; Lennart Svensson (ICCV (Workshops), 2023)

Raw or Cooked? Object Detection on RAW Images. - William Ljungbergh; Joakim Johnander; Christoffer Petersson; Michael Felsberg (SCIA (1), 2023)

Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds. - Georg Hess; Johan Jaxing; Elias Svensson; David Hagerman; Christoffer Petersson; Lennart Svensson (WACV (Workshops), 2023)

Geometric deep learning and equivariant neural networks. - Jan E. Gerken; Jimmy Aronsson; Oscar Carlsson; Hampus Linander; Fredrik Ohlsson; Christoffer Petersson; Daniel Persson (Artif. Intell. Rev., 2023)

HEAL-SWIN: A Vision Transformer on the Sphere. - Oscar Carlsson; Jan E. Gerken; Hampus Linander; Heiner Spieß; Fredrik Ohlsson; Christoffer Petersson; Daniel Persson (CVPR, 2024)

Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap. - Carl Lindström; Georg Hess; Adam Lilja; Maryam Fatemi; Lars Hammarstrand; Christoffer Petersson; Lennart Svensson (CVPR Workshops, 2024)

NeuRAD: Neural Rendering for Autonomous Driving. - Adam Tonderski; Carl Lindström; Georg Hess; William Ljungbergh; Lennart Svensson; Christoffer Petersson (CVPR, 2024)

NeuroNCAP: Photorealistic Closed-Loop Safety Testing for Autonomous Driving. - William Ljungbergh; Adam Tonderski; Joakim Johnander; Holger Caesar; Kalle Åström; Michael Felsberg; Christoffer Petersson (ECCV (30), 2024)

LidarCLIP or: How I Learned to Talk to Point Clouds. - Georg Hess; Adam Tonderski; Christoffer Petersson; Kalle Åström; Lennart Svensson (WACV, 2024)

Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs. - Sandra Carrasco Limeros; Sylwia Majchrowska; Joakim Johnander; Christoffer Petersson; Miguel Ángel Sotelo; David Fernández Llorca (CAAI Trans. Intell. Technol., 2024)

SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving. - Georg Hess; Carl Lindström; Maryam Fatemi; Christoffer Petersson; Lennart Svensson (CVPR, 2025)

GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving. - William Ljungbergh; Adam Lilja; Adam Tonderski; Arvid Laveno Ling; Carl Lindström; Willem Verbeke; Junsheng Fu; Christoffer Petersson; Lars Hammarstrand; Michael Felsberg (CoRR, 2025)

Decoupled Diffusion Sparks Adaptive Scene Generation. - Yunsong Zhou; Naisheng Ye; William Ljungbergh; Tianyu Li; Jiazhi Yang; Zetong Yang; Hongzi Zhu; Christoffer Petersson; Hongyang Li 001 (CoRR, 2025)

PEAR: Equal Area Weather Forecasting on the Sphere. - Hampus Linander; Christoffer Petersson; Daniel Persson; Jan E. Gerken (CoRR, 2025)

R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation. - William Ljungbergh; Bernardo Taveira; Wenzhao Zheng; Adam Tonderski; Chensheng Peng; Fredrik Kahl; Christoffer Petersson; Michael Felsberg; Kurt Keutzer; Masayoshi Tomizuka; Wei Zhan (CoRR, 2025)