Ismail Elezi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 41

Top Topics

Memory Efficient

Probabilistic Modeling

Metric Learning

Catchment Basins

Top Venues

Publications

Roy Miles, Pradyumna Reddy, Ismail Elezi, Jiankang Deng
VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections. CoRR (2024)
Roy Miles, Ismail Elezi, Jiankang Deng
D: Improving Knowledge Distillation using Orthogonal Projections. CoRR (2024)
Chengcheng Ma, Ismail Elezi, Jiankang Deng, Weiming Dong, Changsheng Xu
Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning. AAAI (2024)
Pradyumna Reddy, Ismail Elezi, Jiankang Deng
G3DR: Generative 3D Reconstruction in ImageNet. CoRR (2024)
Edrina Gashi, Jiankang Deng, Ismail Elezi
Deep Active Learning: A Reality Check. CoRR (2024)
Jenny Seidenschwarz, Guillem Brasó, Victor Castro Serrano, Ismail Elezi, Laura Leal-Taixé
Simple Cues Lead to a Strong Multi-Object Tracker. CVPR (2023)
Chengcheng Ma, Ismail Elezi, Jiankang Deng, Weiming Dong, Changsheng Xu
Three Heads Are Better Than One: Complementary Experts for Long-Tailed Semi-supervised Learning. CoRR (2023)
Maxim Maximov, Tim Meinhardt, Ismail Elezi, Zoe Papakipos, Caner Hazirbas, Cristian Canton, Laura Leal-Taixé
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis. CoRR (2023)
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. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Jenny Seidenschwarz, Guillem Brasó, Ismail Elezi, Laura Leal-Taixé
Simple Cues Lead to a Strong Multi-Object Tracker. CoRR (2022)
Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep
Learning to Discover and Detect Objects. CoRR (2022)
Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep
Learning to Discover and Detect Objects. NeurIPS (2022)
Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. NeurIPS (2022)
Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. CVPR (2022)
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 (2022)
Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
Decoupling Identity and Visual Quality for Image and Video Anonymization. ACCV (6) (2022)
Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. CoRR (2022)
Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, Jose M. Alvarez
Active Learning for Deep Object Detection via Probabilistic Modeling. CoRR (2021)
Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez
Towards Reducing Labeling Cost in Deep Object Detection. CoRR (2021)
Jenny Denise Seidenschwarz, Ismail Elezi, Laura Leal-Taixé
Learning Intra-Batch Connections for Deep Metric Learning. ICML (2021)
Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, Jose M. Alvarez
Active Learning for Deep Object Detection via Probabilistic Modeling. ICCV (2021)
Jenny Seidenschwarz, Ismail Elezi, Laura Leal-Taixé
Learning Intra-Batch Connections for Deep Metric Learning. CoRR (2021)
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 (2021)
Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. CVPR (2020)
Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé
The Group Loss for Deep Metric Learning. ECCV (7) (2020)
Ismail Elezi
Exploiting Contextual Information with Deep Neural Networks. CoRR (2020)
Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. CoRR (2020)
Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé
The Group Loss for Deep Metric Learning. CoRR (2019)
Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Dürr, Thilo Stadelmann
Learning Neural Models for End-to-End Clustering. ANNPR (2018)
Ismail Elezi, Lukas Tuggener, Marcello Pelillo, Thilo Stadelmann
DeepScores and Deep Watershed Detection: current state and open issues. CoRR (2018)
Ismail Elezi, Alessandro Torcinovich, Sebastiano Vascon, Marcello Pelillo
Transductive Label Augmentation for Improved Deep Network Learning. CoRR (2018)
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 (2018)
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)
Ismail Elezi, Alessandro Torcinovich, Sebastiano Vascon, Marcello Pelillo
Transductive Label Augmentation for Improved Deep Network Learning. ICPR (2018)
Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann
DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects. ICPR (2018)
Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Durr, Thilo Stadelmann
Learning Neural Models for End-to-End Clustering. CoRR (2018)
Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann
Deep Watershed Detector for Music Object Recognition. CoRR (2018)
Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann
DeepScores - A Dataset for Segmentation, Detection and Classification of Tiny Objects. CoRR (2018)
Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann
Deep Watershed Detector for Music Object Recognition. ISMIR (2018)
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 (2017)
Marcello Pelillo, Ismail Elezi, Marco Fiorucci
Revealing Structure in Large Graphs: Szemerédi's Regularity Lemma and its Use in Pattern Recognition. CoRR (2016)