Search Results for author: Daniil Pakhomov

Found 6 papers, 2 papers with code

Segmentation in Style: Unsupervised Semantic Image Segmentation with Stylegan and CLIP

1 code implementation26 Jul 2021 Daniil Pakhomov, Sanchit Hira, Narayani Wagle, Kemar E. Green, Nassir Navab

Derived regions are consistent across different images and coincide with human-defined semantic classes on some datasets.

Semantic Segmentation

Towards Unsupervised Learning for Instrument Segmentation in Robotic Surgery with Cycle-Consistent Adversarial Networks

no code implementations9 Jul 2020 Daniil Pakhomov, Wei Shen, Nassir Navab

Surgical tool segmentation in endoscopic images is an important problem: it is a crucial step towards full instrument pose estimation and it is used for integration of pre- and intra-operative images into the endoscopic view.

Image-to-Image Translation Pose Estimation +1

Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery

no code implementations8 Jul 2020 Daniil Pakhomov, Nassir Navab

To account for reduced accuracy of the discovered light-weight deep residual network and avoid adding any additional computational burden, we perform a differentiable search over dilation rates for residual units of our network.

Pose Estimation

Deep Residual Learning for Instrument Segmentation in Robotic Surgery

1 code implementation24 Mar 2017 Daniil Pakhomov, Vittal Premachandran, Max Allan, Mahdi Azizian, Nassir Navab

Detection, tracking, and pose estimation of surgical instruments are crucial tasks for computer assistance during minimally invasive robotic surgery.

Pose Estimation

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