activity
20172025
most citedEndo-VMFuseNet: Deep Visual-Magnetic Sensor Fusion Approach for Uncalibrated, Unsynchronized and Asymmetric Endoscopic Capsule Robot Localization Data

13 citations · 13 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2025

FlowCut: Unsupervised Video Instance Segmentation via Temporal Mask Matching

Alp Eren Sari, Paolo Favaro

We propose FlowCut, a simple and capable method for unsupervised video instance segmentation consisting of a three-stage framework to construct a high-quality video dataset with ps…

cs.CV2024

Boosting Unsupervised Segmentation Learning

Alp Eren Sari, Francesco Locatello, Paolo Favaro

We present two practical improvement techniques for unsupervised segmentation learning. These techniques address limitations in the resolution and accuracy of predicted segmentatio…

cs.LG2021

Generative Adversarial Learning via Kernel Density Discrimination

Abdelhak Lemkhenter, Adam Bielski, Alp Eren Sari +1

We introduce Kernel Density Discrimination GAN (KDD GAN), a novel method for generative adversarial learning. KDD GAN formulates the training as a likelihood ratio optimization pro…

cs.CV2019

SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation

Yasin Almalioglu, Mehmet Turan, Alp Eren Sari +4

In the last decade, numerous supervised deep learning approaches requiring large amounts of labeled data have been proposed for visual-inertial odometry (VIO) and depth map estimat…

cs.RO201713 cited

Endo-VMFuseNet: Deep Visual-Magnetic Sensor Fusion Approach for Uncalibrated, Unsynchronized and Asymmetric Endoscopic Capsule Robot Localization Data

Mehmet Turan, Yasin Almalioglu, Hunter Gilbert +3

In the last decade, researchers and medical device companies have made major advances towards transforming passive capsule endoscopes into active medical robots. One of the major c…