Domen Tabernik

26 papers A* 1B 4C 2Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Dataset and Benchmark for Robotic Cloth Unfolding Grasp Selection: The ICRA 2024 Cloth Competition.
CoRR
Victor-Louis De Gusseme, Thomas Lips, Remko Proesmans, Julius Hietala, Giwan Lee, Jiyoung Choi, Jeongil Choi, Geon Kim, Phayuth Yonrith, Domen Tabernik, Andrej Gams, Peter Nimac, Matej Urbas, Jon Muhovic, Danijel Skocaj, Matija Mavsar, Hyojeong Yu, Minseo Kwon, Young J. Kim, Yang Cong, Ronghan Chen, Yu Ren, Supeng Diao, Jiawei Weng, Jiayue Liu, Haoran Sun, Linhan Yang, Zeqing Zhang, Ning Guo, Lei Yang, Fang Wan, Chaoyang Song, Jia Pan, Yixiang Jin, Yong A, Jun Shi, Dingzhe Li, Yong Yang, Kakeru Yamasaki, Takumi Kajiwara, Yuki Nakadera, Krati Saxena, Tomohiro Shibata, Chongkun Xia, Kai Mo, Yanzhao Yu, Qihao Lin, Binqiang Ma, Ui Hun Sagong, JungHyun Choi, Jeonghyun Park, Dongwoo Lee, Yeongmin Kim, Myun Joong Hwang, Yusuke Kuribayashi, Naoki Hiratsuka, Daisuke Tanaka, Solvi Arnold, Kimitoshi Yamazaki, Carlos Mateo-Agullo, Andreas Verleysen, Francis Wyffels
2024 J jnl
Center Direction Network for Grasping Point Localization on Cloths.
CoRR
Domen Tabernik, Jon Muhovic, Matej Urbas, Danijel Skocaj
2024 J jnl
Center Direction Network for Grasping Point Localization on Cloths.
IEEE Robotics Autom. Lett.
Domen Tabernik, Jon Muhovic, Matej Urbas, Danijel Skocaj
2024 J jnl
Dense Center-Direction Regression for Object Counting and Localization with Point Supervision.
CoRR
Domen Tabernik, Jon Muhovic, Danijel Skocaj
2024 J jnl
Dense center-direction regression for object counting and localization with point supervision.
Pattern Recognit.
Domen Tabernik, Jon Muhovic, Danijel Skocaj
2021 J jnl
Mixed supervision for surface-defect detection: From weakly to fully supervised learning.
Comput. Ind.
Jakob Bozic, Domen Tabernik, Danijel Skocaj
2021 J jnl
Mixed supervision for surface-defect detection: from weakly to fully supervised learning.
CoRR
Jakob Bozic, Domen Tabernik, Danijel Skocaj
2020 J jnl
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition.
IEEE Trans. Intell. Transp. Syst.
Domen Tabernik, Danijel Skocaj
2020 B conf
End-to-end training of a two-stage neural network for defect detection.
ICPR
Jakob Bozic, Domen Tabernik, Danijel Skocaj
2020 J jnl
End-to-end training of a two-stage neural network for defect detection.
CoRR
Jakob Bozic, Domen Tabernik, Danijel Skocaj
2020 B conf
Evaluation of Anomaly Detection Algorithms for the Real-World Applications.
ICPR
Marija Ivanovska, Janez Pers, Domen Tabernik, Danijel Skocaj
2020 J jnl
Neural-Network-Based Traffic Sign Detection and Recognition in High-Definition Images Using Region Focusing and Parallelization.
IEEE Access
Aleksej Avramovic, Davor Sluga, Domen Tabernik, Danijel Skocaj, Vladan Stojnic, Nejc Ilc
2020 J jnl
Segmentation-based deep-learning approach for surface-defect detection.
J. Intell. Manuf.
Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj
2020 J jnl
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks.
Int. J. Comput. Vis.
Domen Tabernik, Matej Kristan, Ales Leonardis
2019 J jnl
Deep Learning for Large-Scale Traffic-Sign Detection and Recognition.
CoRR
Domen Tabernik, Danijel Skocaj
2019 C conf
Deep-Learning-Based Computer Vision System for Surface-Defect Detection.
ICVS
Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj
2019 J jnl
Segmentation-Based Deep-Learning Approach for Surface-Defect Detection.
CoRR
Domen Tabernik, Samo Sela, Jure Skvarc, Danijel Skocaj
2019 J jnl
Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks.
CoRR
Domen Tabernik, Matej Kristan, Ales Leonardis
2018 A* conf
Spatially-Adaptive Filter Units for Deep Neural Networks.
CVPR
Domen Tabernik, Matej Kristan, Ales Leonardis
2017 J jnl
Spatially-Adaptive Filter Units for Deep Neural Networks.
CoRR
Domen Tabernik, Matej Kristan, Ales Leonardis
2016 J jnl
Towards Deep Compositional Networks.
CoRR
Domen Tabernik, Matej Kristan, Jeremy L. Wyatt, Ales Leonardis
2016 B conf
Towards deep compositional networks.
ICPR
Domen Tabernik, Matej Kristan, Jeremy L. Wyatt, Ales Leonardis
2015 J jnl
Adding discriminative power to a generative hierarchical compositional model using histograms of compositions.
Comput. Vis. Image Underst.
Domen Tabernik, Ales Leonardis, Marko Boben, Danijel Skocaj, Matej Kristan
2013 C conf
A Web-Service for Object Detection Using Hierarchical Models.
ICVS
Domen Tabernik, Luka Cehovin, Matej Kristan, Marko Boben, Ales Leonardis
2013 — conf
Adding Discriminative Power to Hierarchical Compositional Models for Object Class Detection.
SCIA
Matej Kristan, Marko Boben, Domen Tabernik, Ales Leonardis
2012 B conf
Learning statistically relevant edge structure improves low-level visual descriptors.
ICPR
Domen Tabernik, Matej Kristan, Marko Boben, Ales Leonardis