WASP researchers contribute to ECCV 2026

At least ten papers with a connection to WASP have been accepted to the 19^th European Conference on Computer Vision (ECCV) 2026.

The accepted papers involve researchers across the WASP community and cover several key areas in computer vision and autonomous systems, including 3D scene understanding, feature matching, bundle adjustment, vision transformers, dynamic scene reconstruction, LiDAR pre-training and LiDAR scene flow estimation.

ECCV is a biennial premier research conference in Computer Vision and Machine Learning. This year, 2,883 papers were accepted out of 10,473 submissions, corresponding to an acceptance rate of approximately 27.5 percent. The conference is held in Malmö, Sweden, September 8-12.

Have we missed anyone? Please send an email to wasp.newsletter@partner.liu.se and we’ll be happy to update the list below. This list below was updated September 7, 2026.

WASP-related papers and posters accepted to ECCV 2026

• G. Hanning, S. Liu, R. Pautrat, M. Pollefeys, K. Åström, V. Larsson. PolyLayout: Multi-room Manhattan Layout Estimation, ECCV 2026.
• D. Nordström, J. Edstedt, G. Bökman, J. Astermark, A. Heyden, V. Larsson, M. Wadenbäck, M. Felsberg, F. Kahl. LoMa: Local feature matching revisited, ECCV 2026.
• J. Edstedt, D. Nordström, Y. Zhang, G. Bökman, J. Astermark, V. Larsson, A. Heyden, F. Kahl, M. Wadenbäck, M. Felsberg. RoMa v2: Harder Better Faster Denser Feature Matching, ECCV 2026.
• S. Liu, R. Pautrat, D. Barath, R. Hartley, V. Larsson, M. Pollefeys. Stable and Scalable Bundle Adjustment of Holistic 3D Structures, ECCV 2026.
• D. Nordström, J. Edstedt, F. Kahl, G. Bökman. Quick ViTs: Speeding up Vision Transformers through Equivariance, ECCV 2026.
• S. Sun, U. Artan, M. Mielle, A. Lilienthal, M. Magnusson. Dense Dynamic Scene Reconstruction and Camera Pose Estimation from Multi-View Videos, ECCV 2026.
• M. Wozniak, J. Ericsson, H. Govindarajan, T. Nyberg, T. Gustafsson, P. Jensfelt, O. Andersson. HilDA: Hierarchical Distillation with Diffusion for Advancing Self-Supervised LiDAR Pre-training, ECCV 2026.
• Q. Zhang, X. Zhu, C. Jiang, P. Jensfelt. SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data, ECCV 2026.
• Q. Zhang. UniFlow: Zero-Shot LiDAR Scene Flow for Autonomous Driving, ECCV 2026.
• Z. Li, Y. Yu. From Hallucination to Grounding: Diagnosing Visual Spatial Intelligence via CRISP