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Randomly connected neural networks for self-supervised monocular depth estimation., and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 10 (4): 390-399 (2022)Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation., , , , and . CoRR, (2019)VisionBlender: a tool to efficiently generate computer vision datasets for robotic surgery., , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 9 (4): 331-338 (2021)SurgT challenge: Benchmark of soft-tissue trackers for robotic surgery., , , , , , , , , and 16 other author(s). Medical Image Anal., (January 2024)SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery., , , , , , , , , and 17 other author(s). CoRR, (2023)Stereo Depth Estimation via Self-supervised Contrastive Representation Learning., and . MICCAI (8), volume 13437 of Lecture Notes in Computer Science, page 604-614. Springer, (2022)Analysing deep reinforcement learning agents trained with domain randomisation., , , , , and . Neurocomputing, (2022)Improving Visual Representation Learning Through Perceptual Understanding., , and . CVPR, page 14486-14495. IEEE, (2023)Improving Visual Representation Learning through Perceptual Understanding., , and . CoRR, (2022)See-Through Vision With Unsupervised Scene Occlusion Reconstruction., , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (7): 3779-3790 (2022)