Search Results for author: Alan Lukezic

Found 5 papers, 1 papers with code

A Low-Shot Object Counting Network With Iterative Prototype Adaptation

no code implementations15 Nov 2022 Nikola Djukic, Alan Lukezic, Vitjan Zavrtanik, Matej Kristan

The standard few-shot pipeline follows extraction of appearance queries from exemplars and matching them with image features to infer the object counts.

Object Counting Object Localization

Trans2k: Unlocking the Power of Deep Models for Transparent Object Tracking

1 code implementation7 Oct 2022 Alan Lukezic, Ziga Trojer, Jiri Matas, Matej Kristan

Visual object tracking has focused predominantly on opaque objects, while transparent object tracking received very little attention.

Transparent objects Visual Object Tracking

D3S - A Discriminative Single Shot Segmentation Tracker

no code implementations CVPR 2020 Alan Lukezic, Jiri Matas, Matej Kristan

Template-based discriminative trackers are currently the dominant tracking paradigm due to their robustness, but are restricted to bounding box tracking and a limited range of transformation models, which reduces their localization accuracy.

Semantic Segmentation Video Object Segmentation +3

Object Tracking by Reconstruction with View-Specific Discriminative Correlation Filters

no code implementations CVPR 2019 Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas

Standard RGB-D trackers treat the target as an inherently 2D structure, which makes modelling appearance changes related even to simple out-of-plane rotation highly challenging.

3D Reconstruction Object Tracking

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