Cattaneo D, Vaghi M, and Valada A. LCDNet: Deep loop closure detection and point cloud registration for LiDAR SLAM. IEEE Transactions on Robotics 2022;38:2074–2093.
Mohan R and Valada A. EfficientPS: Efficient panoptic segmentation. International Journal of Computer Vision 2021;129:1551–1579.
Valverde FR, Valeria Hurtado J, and Valada A. There is more than meets the eye: Self-supervised multi-object detection and tracking with Sound by distilling multimodal knowledge. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’21). IEEE, 2021:11607–11616.
Zürn J, Burgard W, and Valada A. Self-supervised visual terrain classification from unsupervised acoustic feature learning. IEEE Transactions on Robotics 2021;37:466–481.
Radwan N, Burgard W, and Valada A. Multimodal interaction-aware motion prediction for autonomous street crossing. International Journal of Robotics Research 2020;39:1567–1598.
Valada A, Mohan R, and Burgard W. Self-supervised model adaptation for multimodal semantic segmentation. International Journal of Computer Vision 2020;128:1239–1285.
Radwan N, Valada A, and Burgard W. Vlocnet++: Deep multitask learning for semantic visual localization and odometry. IEEE Robotics and Automation Letters 2018;3:4407–4414.
Valada A, Radwan N, and Burgard W. Deep auxiliary learning for visual localization and odometry. In: 2018 IEEE International Conference on Robotics and Automation (ICRA’18). 2018:6939–6946.
Valada A and Burgard W. Deep spatiotemporal models for robust proprioceptive terrain classification. International Journal of Robotics Research 2017;36:1521–1539.
Valada A, Vertens J, Dhall A, and Burgard W. Adapnet: Adaptive semantic segmentation in adverse environmental conditions. In: 2017 IEEE International Conference on Robotics and Automation (ICRA’17). 2017:4644–4651.
Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center –
University of Freiburg
