Samyakh Tukra

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Visual Representations

Tissue Deformation

Top Venues

Comput. methods Biomech. Biomed. Eng. Imaging Vis.

Medical Image Anal.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

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, Lars Boecking, Simeon Allmendinger, Leopold Müller, Yitong Zhang, Yueming Jin, Sophia Bano, Francisco Vasconcelos, Wolfgang Reiter, Jonas Hajek, Bruno Silva, Estevão Lima, João L. Vilaça, Sandro F. Queiros, Stamatia Giannarou
SurgT challenge: Benchmark of soft-tissue trackers for robotic surgery. Medical Image Anal. 91 (2024)
João Cartucho, Alistair Weld, Samyakh Tukra, Haozheng Xu, Hiroki Matsuzaki, Taiyo Ishikawa, Minjun Kwon, Yongeun Jang, Kwang-Ju Kim, Gwang Lee, Bizhe Bai, Lueder Kahrs, Lars Boecking, Simeon Allmendinger, Leopold Müller, Yitong Zhang, Yueming Jin, Sophia Bano, Francisco Vasconcelos, Wolfgang Reiter, Jonas Hajek, Bruno Silva, Lukas R. Buschle, Estevão Lima, João L. Vilaça, Sandro F. Queiros, Stamatia Giannarou
SurgT: Soft-Tissue Tracking for Robotic Surgery, Benchmark and Challenge. CoRR (2023)
Samyakh Tukra, Frederick Hoffman, Ken Chatfield
Improving Visual Representation Learning Through Perceptual Understanding. CVPR (2023)
Samyakh Tukra, Hani J. Marcus, Stamatia Giannarou
See-Through Vision With Unsupervised Scene Occlusion Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Tianhong Dai, Kai Arulkumaran, Tamara Gerbert, Samyakh Tukra, Feryal Behbahani, Anil Anthony Bharath
Analysing deep reinforcement learning agents trained with domain randomisation. Neurocomputing 493 (2022)
Samyakh Tukra, Stamatia Giannarou
Randomly connected neural networks for self-supervised monocular depth estimation. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10 (4) (2022)
Samyakh Tukra, Stamatia Giannarou
Stereo Depth Estimation via Self-supervised Contrastive Representation Learning. MICCAI (8) (2022)
Samyakh Tukra, Frederick Hoffman, Ken Chatfield
Improving Visual Representation Learning through Perceptual Understanding. CoRR (2022)
João Cartucho, Samyakh Tukra, Yunpeng Li, Daniel S. Elson, Stamatia Giannarou
VisionBlender: a tool to efficiently generate computer vision datasets for robotic surgery. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9 (4) (2021)
Tianhong Dai, Kai Arulkumaran, Samyakh Tukra, Feryal Behbahani, Anil Anthony Bharath
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation. CoRR (2019)