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ORCIDIsmail Elezi
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2020 – today
- 2022
[i16]Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé:
The Group Loss++: A deeper look into group loss for deep metric learning. CoRR abs/2204.01509 (2022)- [i15]Jenny Seidenschwarz, Guillem Brasó, Ismail Elezi, Laura Leal-Taixé:
Simple Cues Lead to a Strong Multi-Object Tracker. CoRR abs/2206.04656 (2022) - 2021
- [c9]Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, Jose M. Alvarez:
Active Learning for Deep Object Detection via Probabilistic Modeling. ICCV 2021: 10244-10253 - [c8]Jenny Denise Seidenschwarz, Ismail Elezi, Laura Leal-Taixé:
Learning Intra-Batch Connections for Deep Metric Learning. ICML 2021: 9410-9421 - [i14]Jenny Seidenschwarz, Ismail Elezi, Laura Leal-Taixé:
Learning Intra-Batch Connections for Deep Metric Learning. CoRR abs/2102.07753 (2021) - [i13]Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, Jose M. Alvarez:
Active Learning for Deep Object Detection via Probabilistic Modeling. CoRR abs/2103.16130 (2021) - [i12]Matthijs Douze, Giorgos Tolias, Ed Pizzi, Zoë Papakipos, Lowik Chanussot, Filip Radenovic, Tomás Jenícek, Maxim Maximov, Laura Leal-Taixé, Ismail Elezi, Ondrej Chum, Cristian Canton-Ferrer:
The 2021 Image Similarity Dataset and Challenge. CoRR abs/2106.09672 (2021) - [i11]Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez:
Towards Reducing Labeling Cost in Deep Object Detection. CoRR abs/2106.11921 (2021) - 2020
- [c7]Maxim Maximov, Ismail Elezi, Laura Leal-Taixé:
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. CVPR 2020: 5446-5455 - [c6]Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé:
The Group Loss for Deep Metric Learning. ECCV (7) 2020: 277-294 - [i10]Maxim Maximov, Ismail Elezi, Laura Leal-Taixé:
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. CoRR abs/2005.09544 (2020) - [i9]Ismail Elezi:
Exploiting Contextual Information with Deep Neural Networks. CoRR abs/2006.11706 (2020)
2010 – 2019
- 2019
- [i8]Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé:
The Group Loss for Deep Metric Learning. CoRR abs/1912.00385 (2019) - 2018
- [c5]Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener:
Deep Learning in the Wild. ANNPR 2018: 17-38 - [c4]Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Dürr, Thilo Stadelmann:
Learning Neural Models for End-to-End Clustering. ANNPR 2018: 126-138 - [c3]Ismail Elezi, Alessandro Torcinovich, Sebastiano Vascon
, Marcello Pelillo:
Transductive Label Augmentation for Improved Deep Network Learning. ICPR 2018: 1432-1437 - [c2]Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann:
DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects. ICPR 2018: 3704-3709 - [c1]Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann:
Deep Watershed Detector for Music Object Recognition. ISMIR 2018: 271-278 - [i7]Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann:
DeepScores - A Dataset for Segmentation, Detection and Classification of Tiny Objects. CoRR abs/1804.00525 (2018) - [i6]Ismail Elezi, Alessandro Torcinovich, Sebastiano Vascon, Marcello Pelillo:
Transductive Label Augmentation for Improved Deep Network Learning. CoRR abs/1805.10546 (2018) - [i5]Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann:
Deep Watershed Detector for Music Object Recognition. CoRR abs/1805.10548 (2018) - [i4]Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Durr, Thilo Stadelmann:
Learning Neural Models for End-to-End Clustering. CoRR abs/1807.04001 (2018) - [i3]Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener:
Deep Learning in the Wild. CoRR abs/1807.04950 (2018) - [i2]Ismail Elezi, Lukas Tuggener, Marcello Pelillo, Thilo Stadelmann:
DeepScores and Deep Watershed Detection: current state and open issues. CoRR abs/1810.05423 (2018) - 2017
- [j1]Marcello Pelillo, Ismail Elezi, Marco Fiorucci:
Revealing structure in large graphs: Szemerédi's regularity lemma and its use in pattern recognition. Pattern Recognit. Lett. 87: 4-11 (2017) - 2016
- [i1]Marcello Pelillo, Ismail Elezi, Marco Fiorucci:
Revealing Structure in Large Graphs: Szemerédi's Regularity Lemma and its Use in Pattern Recognition. CoRR abs/1609.06583 (2016)
Coauthor Index
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