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Nyligen accepterade publikationer: Oktober

Publicerad 2024-10-28

Följande artiklar har blivit accepterade och publicerade under föregående månader:

  • Shutong Jin, Ruiyu Wang, Muhammad Zahid, and Florian T. Pokorny "How Physics and Background Attributes Impact Video Transformers in Robotic Manipulation: A Case Study on Planar Pushing" accepterad hos International Conference on Intelligent Robots and Systems (IROS) 2024

  • Bernardo Esteves, Miguel Vasco, and Francisco S. Melo "NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks" accepterad hos Conference on Neural Information Processing Systems (NeurIPS) 2024

  • Alfredo Reichlin*, Gustaf Tegnér*, Miguel Vasco, Hang Yin, Mårten Björkman, and Danica Kragic "Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks" accepterad hos Transactions on Machine Learning Research (TMLR) 2024

  • Farzaneh Taleb, Miguel Vasco, Antonio H. Ribeiro, Mårten Björkman, and Danica Kragic "Can Transformers Smell Like Humans?" accepterad hos Conference on Neural Information Processing Systems (NeurIPS) 2024 (Spotlight)

  • Nona Rajabi, Antonio H. Ribeiro, Miguel Vasco, and Danica Kragic "Amplified Early Stopping Bias: Overestimated Performance with Deep Learning" accepterad hos Conference on Neural Information Processing Systems (NeurIPS) 2024 Workshop on Scientific Methods for Understanding Deep Learning

  • Maciej Wozniak, M Hansson, M Thiel, and Patric Jensfelt "UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps" accepterad hos IEEE Robotics and Automation Letters (RA-L) 2024

  • Romeo Lanzino, Federico Fontana, Luigi Cinque, Francesco Scarcello, Atsuto Maki "Neural Transcoding Vision Transformers for EEG-to-fMRI Synthesis" accepterad hos European Conference on Computer Vision (ECCV) 2024 Workshop, Synthetic Data for Computer Vision

  • Hiroki Azuma (UTokyo), Yusuke Matsui, Atsuto Maki "ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer" accepterad hos European Conference on Computer Vision (ECCV) 2024 Workshop, Out-of-Distribution Generalization in Computer Vision Foundation Models

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