Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation. - Tianhong Dai; Kai Arulkumaran; Samyakh Tukra; Feryal M. P. Behbahani; Anil Anthony Bharath (CoRR, 2019)

VisionBlender: a tool to efficiently generate computer vision datasets for robotic surgery. - João Cartucho; Samyakh Tukra; Yunpeng Li; Daniel S. Elson; Stamatia Giannarou (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

Stereo Depth Estimation via Self-supervised Contrastive Representation Learning. - Samyakh Tukra; Stamatia Giannarou (MICCAI (8), 2022)

Randomly connected neural networks for self-supervised monocular depth estimation. - Samyakh Tukra; Stamatia Giannarou (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

Analysing deep reinforcement learning agents trained with domain randomisation. - Tianhong Dai; Kai Arulkumaran; Tamara Gerbert; Samyakh Tukra; Feryal M. P. Behbahani; Anil Anthony Bharath (Neurocomputing, 2022)

See-Through Vision With Unsupervised Scene Occlusion Reconstruction. - Samyakh Tukra; Hani J. Marcus; Stamatia Giannarou (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Improving Visual Representation Learning Through Perceptual Understanding. - Samyakh Tukra; Frederick Hoffman; Ken Chatfield (CVPR, 2023)

SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery. - João Cartucho; Alistair Weld; Samyakh Tukra; Haozheng Xu; Hiroki Matsuzaki; Taiyo Ishikawa; Minjun Kwon; Yongeun Jang; Kwang-Ju Kim; Gwang Lee; Bizhe Bai; Lueder A. Kahrs; et al. (CoRR, 2023)

SurgT challenge: Benchmark of soft-tissue trackers for robotic surgery. - João Cartucho; Alistair Weld; Samyakh Tukra; Haozheng Xu; Hiroki Matsuzaki; Taiyo Ishikawa; Minjun Kwon; Yongeun Jang; Kwang-Ju Kim; Gwang Lee; Bizhe Bai; Lueder A. Kahrs; et al. (Medical Image Anal., 2024)