activity
20222026
most citedGlobal Localization: Utilizing Relative Spatio-Temporal Geometric Constraints from Adjacent and Distant Cameras

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

VidMap: Exploiting Temporal Structure for Video-Based Structure-from-Motion

Zador Pataki, Paul-Edouard Sarlin, Marc Pollefeys

Accurately recovering the camera's calibration and metric poses for any unconstrained video would unlock large-scale training data for navigation and scene understanding. The domin…

cs.CV2025

MP-SfM: Monocular Surface Priors for Robust Structure-from-Motion

Zador Pataki, Paul-Edouard Sarlin, Johannes L. Schönberger +1

While Structure-from-Motion (SfM) has seen much progress over the years, state-of-the-art systems are prone to failure when facing extreme viewpoint changes in low-overlap, low-par…

cs.CV2025

Multi Activity Sequence Alignment via Implicit Clustering

Taein Kwon, Zador Pataki, Mahdi Rad +1

Self-supervised temporal sequence alignment can provide rich and effective representations for a wide range of applications. However, existing methods for achieving optimal perform…

cs.CV2023★ 1 cited

Global Localization: Utilizing Relative Spatio-Temporal Geometric Constraints from Adjacent and Distant Cameras

Mohammad Altillawi, Zador Pataki, Shile Li +1

Re-localizing a camera from a single image in a previously mapped area is vital for many computer vision applications in robotics and augmented/virtual reality. In this work, we ad…

cs.CV2023

Long-Term Invariant Local Features via Implicit Cross-Domain Correspondences

Zador Pataki, Mohammad Altillawi, Menelaos Kanakis +5

Modern learning-based visual feature extraction networks perform well in intra-domain localization, however, their performance significantly declines when image pairs are captured…

cs.CV2022

LoopDA: Constructing Self-loops to Adapt Nighttime Semantic Segmentation

Fengyi Shen, Zador Pataki, Akhil Gurram +3

Due to the lack of training labels and the difficulty of annotating, dealing with adverse driving conditions such as nighttime has posed a huge challenge to the perception system o…