Elezi, Ismail

19 publications

ICLR 2026 A Benchmark for Deep Information Synthesis Debjit Paul, Daniel Murphy, Milan Gritta, Ronald Cardenas, Victor Prokhorov, Lena Sophia Bolliger, Aysim Toker, Roy Miles, Andreea-Maria Oncescu, Jasivan Alex Sivakumar, Philipp Borchert, Ismail Elezi, Meiru Zhang, Ka Yiu Lee, Guchun Zhang, Jun Wang, Gerasimos Lampouras

ICLR 2026 CASteer: Cross-Attention Steering for Controllable Concept Erasure Tatiana Gaintseva, Andreea-Maria Oncescu, Chengcheng Ma, Ziquan Liu, Martin Benning, Gregory Slabaugh, Jiankang Deng, Ismail Elezi

ICCV 2025 "Principal Components" Enable a New Language of Images Xin Wen, Bingchen Zhao, Ismail Elezi, Jiankang Deng, Xiaojuan Qi

CVPR 2025 Fractal Calibration for Long-Tailed Object Detection Konstantinos Panagiotis Alexandridis, Ismail Elezi, Jiankang Deng, Anh Nguyen, Shan Luo

ICLR 2025 From Attention to Activation: Unraveling the Enigmas of Large Language Models Prannay Kaul, Chengcheng Ma, Ismail Elezi, Jiankang Deng

ICCV 2025 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

CVPR 2024 G3DR: Generative 3D Reconstruction in ImageNet Pradyumna Reddy, Ismail Elezi, Jiankang Deng

ICMLW 2024 Long-Context Vision Large Language Models: Empirical Insights and a Baseline Yongshuo Zong, Ismail Elezi, Yongxin Yang, Jiankang Deng, Timothy Hospedales

AAAI 2024 Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-Supervised Learning Chengcheng Ma, Ismail Elezi, Jiankang Deng, Weiming Dong, Changsheng Xu

NeurIPS 2024 VeLoRA: Memory Efficient Training Using Rank-1 Sub-Token Projections Roy Miles, Pradyumna Reddy, Ismail Elezi, Jiankang Deng

CVPR 2024 VkD: Improving Knowledge Distillation Using Orthogonal Projections Roy Miles, Ismail Elezi, Jiankang Deng

CVPR 2023 Simple Cues Lead to a Strong Multi-Object Tracker Jenny Seidenschwarz, Guillem Brasó, Víctor Castro Serrano, Ismail Elezi, Laura Leal-Taixé

NeurIPS 2022 Learning to Discover and Detect Objects Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep

CVPR 2022 Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez

NeurIPS 2022 The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes Peter Kocsis, Peter Súkeník, Guillem Braso, Matthias Niessner, Laura Leal-Taixé, Ismail Elezi

ICCV 2021 Active Learning for Deep Object Detection via Probabilistic Modeling Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clement Farabet, Jose M. Alvarez

ICML 2021 Learning Intra-Batch Connections for Deep Metric Learning Jenny Denise Seidenschwarz, Ismail Elezi, Laura Leal-Taixé

CVPR 2020 CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks Maxim Maximov, Ismail Elezi, Laura Leal-Taixe

ECCV 2020 The Group Loss for Deep Metric Learning Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé