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WASP

WASP enters a new phase with long-term funding secured | WASP Christian Berger to lead the WASP Graduate School from 2027 | WASP Two WASP researchers awarded ERC Starting Grants | WASP Three projects awarded funding in first joint WASP and WASP-HS call | WASP WASP strengthens Swedish AI research through recruitment of Julian Togelius | WASP WASP students strengthen ties with Mila’s reinforcement learning community | WASP Community building summer school gives new WASP PhD students a first introduction | WASP WASP researchers contribute to ECCV 2026 | WASP WASP research helps Sony AI’s table tennis robot decide in milliseconds | WASP WASP researchers receives the Automatica Best Paper Award | WASP The long game: When someone is paid to think ahead  | WASP Alexandre Bartel receives Nordea's Scientific Prize 2026 | WASP Strong WASP presence at ICML 2026 | WASP WARA Public Safety introduces Vinnova Drone Challenge at Data Collection Week ELLIS adds seven new units – one of them in Sweden Learn more about SE.LLMA WASP researchers receive Best Paper Award for advancing safety in AI-based autonomy The data only industry can provide Jialong Li receives award for his work on open source teleoperation Exploring the intersection of society, life sciences and technology Updates in the WARA Ops portal WASF 2026 explores the foundations of neurosymbolic AI Where are WASP alumni today? Statistics from a recent WASP follow‑up Miriah Meyer: “I’m a fangirl of theory” Martin Monperrus Elevated to IEEE Fellow for Advances in AI-Driven Software Engineering Alexandre Proutiere receives ACM SIGMETRICS Achievement Award
WASP-affiliated research accepted to CVPR 2026
aliro35 · 2026-06-03 · via WASP

Several WASP-affiliated papers have been accepted to CVPR 2026, one of the leading international conferences in computer vision and pattern recognition. The conference takes place in Denver, Colorado on 3–7 June 2026.  

About CVPR 2026 

CVPR 2026 is organized by the IEEE Computer Society and the Computer Vision Foundation. It is a major venue for research in computer vision and pattern recognition, covering areas such as embodied AI, robotics, multimodal systems, spatial computing, and related machine learning methods.

Selectivity and scale 

This year’s conference received 16,092 submissions, with an acceptance rate of about 25.2%, reflecting both the scale of the field and the selectivity of the venue.  

The accepted WASP-affiliated papers span several technical areas, including scene flow estimation, 3D scene generation, context selection for vision tasks, video geolocalization, and benchmarking of human evaluations in gesture generation. 

Are we missing your accepted paper at CVPR? Contact wasp.newsletter@partner.liu.se and we will make sure to add it.

Q. Zhang, C. Jiang, X. Zhu, Y. Miao, Y. Zhang, O. Andersson, P. Jensfelt. Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation 

C. Jiang, Y. Chen, Q. Zhang, J. Song, S. Xu, D.Y. Yeung, J. Deng. Scaling 3D scenes via Certainty-Aware Free-View Generation 

J. Guo, E. Konuk, F. Strand, C. Matsoukas, K. Smith. Learning what helps: Task-Aligned context selection for vision tasks 

P. P. Kulkarni, R. Gupta, P. C. Chhipa, M. Shah. VidTAG: Temporally Aligned Video to GPS Geolocalization with Denoising Sequence Prediction at a Global Scale 

Yifan Ding, Xixi Liu, Jonas Unger, Gabriel Eilertsen. Enhancing Out-of-Distribution Detection with Extended Logit Normalization

Ludvig Dillén, Magnus Oskarsson, Viktor Larsson. Sparse–View Localization via Online Neural 3D Regression

Johanna Lidholm, Ludvig Dillén, Zuzana Kukelova, Torsten Sattler, Viktor Larsson. Active Exploration for Sparse Visual Localization

Adam Lilja, Ji Lan, Junsheng Fu, Lars Hammarstrand. QueryOcc: Query-based Self-Supervision for 3D Semantic Occupancy (poster)

Carl Lindström, Mahan Rafidashti, Maryam Fatemi, Lars Hammarstrand, Martin R. Oswald, Lennart Svensson. IDSplat: Instance-Decomposed 3D Gaussian Splatting for Driving Scenes (poster)

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

David Nordström, Johan Edstedt, Fredrik Kahl, Georg Bökman. MuM: Multi-View Masked Image Modeling for 3D Vision (poster)

David Nordstrom, Johan Edstedt, Fredrik Kahl, Georg Bokman. Who Handles Orientation? Investigating Invariance in Feature Matching
(workshop)