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Simple Cues Lead to a Strong Multi-Object Tracker



Jenny Seidenschwarz , Guillem Brasó , Ismail Elezi , Laura Leal-Taixé


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The Group Loss++: A deeper look into group loss for deep metric learning



Ismail Elezi , Jenny Seidenschwarz , Laurin Wagner , Sebastiano Vascon , Alessandro Torcinovich , Marcello Pelillo , Laura Leal-Taixe

* Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (tPAMI), 2022. Includes supplementary material 

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The 2021 Image Similarity Dataset and Challenge



Matthijs Douze , Giorgos Tolias , Ed Pizzi , Zoë Papakipos , Lowik Chanussot , Filip Radenovic , Tomas Jenicek , Maxim Maximov , Laura Leal-Taixé , Ismail Elezi , Ondřej Chum , Cristian Canton Ferrer


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Towards Reducing Labeling Cost in Deep Object Detection



Ismail Elezi , Zhiding Yu , Anima Anandkumar , Laura Leal-Taixe , Jose M. Alvarez

* Includes supplementary material 

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Active Learning for Deep Object Detection via Probabilistic Modeling



Jiwoong Choi , Ismail Elezi , Hyuk-Jae Lee , Clement Farabet , Jose M. Alvarez


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Learning Intra-Batch Connections for Deep Metric Learning



Jenny Seidenschwarz , Ismail Elezi , Laura Leal-Taixé


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Exploiting Contextual Information with Deep Neural Networks



Ismail Elezi

* Ph.D. thesis 

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