Ismail Elezi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
8
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | ViCToR: Improving Visual Comprehension via Token Reconstruction for Pretraining LMMs. | Yin Xie, Kaicheng Yang, Peirou Liang, Xiang An, Yongle Zhao, Yumeng Wang, Ziyong Feng, Roy Miles, Ismail Elezi, Jiankang Deng |
| 2025 | CVPR | Fractal Calibration for Long-tailed Object Detection. | Konstantinos Panagiotis Alexandridis, Ismail Elezi, Jiankang Deng, Anh Nguyen, Shan Luo |
| 2025 | ICCV | "Principal Components" Enable a New Language of Images. | Xin Wen, Bingchen Zhao, Ismail Elezi, Jiankang Deng, Xiaojuan Qi |
| 2025 | ICCV | Region-based Cluster Discrimination for Visual Representation Learning. | Yin Xie, Kaicheng Yang, Xiang An, Kun Wu, Yongle Zhao, Weimo Deng, Zimin Ran, Yumeng Wang, Ziyong Feng, Roy Miles, Ismail Elezi, Jiankang Deng |
| 2025 | ICLR | From Attention to Activation: Unraveling the Enigmas of Large Language Models. | Prannay Kaul, Chengcheng Ma, Ismail Elezi, Jiankang Deng |
| 2024 | AAAI | Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning. | Chengcheng Ma, Ismail Elezi, Jiankang Deng, Weiming Dong, Changsheng Xu |
| 2024 | CVPR | $V_{k}D$: Improving Knowledge Distillation Using Orthogonal Projections. | Roy Miles, Ismail Elezi, Jiankang Deng |
| 2024 | CVPR | G3DR: Generative 3D Reconstruction in ImageNet. | Pradyumna Reddy, Ismail Elezi, Jiankang Deng |
| 2023 | CVPR | Simple Cues Lead to a Strong Multi-Object Tracker. | Jenny Seidenschwarz, Guillem Bras, Victor Castro Serrano, Ismail Elezi, Laura Leal-Taix |
| 2022 | ACCV | Decoupling Identity and Visual Quality for Image and Video Anonymization. | Maxim Maximov, Ismail Elezi, Laura Leal-Taix |
| 2022 | CVPR | Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. | Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taix, Jos M. lvarez |
| 2021 | ICCV | Active Learning for Deep Object Detection via Probabilistic Modeling. | Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clment Farabet, Jos M. lvarez |
| 2021 | ICML | Learning Intra-Batch Connections for Deep Metric Learning. | Jenny Denise Seidenschwarz, Ismail Elezi, Laura Leal-Taix |
| 2020 | CVPR | CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. | Maxim Maximov, Ismail Elezi, Laura Leal-Taix |
| 2020 | ECCV | The Group Loss for Deep Metric Learning. | Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taix |
| 2018 | ICPR | Transductive Label Augmentation for Improved Deep Network Learning. | Ismail Elezi, Alessandro Torcinovich, Sebastiano Vascon, Marcello Pelillo |
| 2018 | ICPR | DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects. | Lukas Tuggener, Ismail Elezi, Jrgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann |