Ismail Elezi - RankMe

61 papers A* 14B 2Journal 39Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Benchmark for Deep Information Synthesis. CoRR Debjit Paul, Daniel Murphy, Milan Gritta, Ronald Cardenas, Victor Prokhorov, Lena Sophia Bolliger, Aysim Toker, Roy Vaughan Miles, Andreea-Maria Oncescu, Jasivan Alex Sivakumar, Philipp Borchert, Ismail Elezi, Meiru Zhang, Ka Yiu Lee, Guchun Zhang, Jun Wang, Gerasimos Lampouras
2026	J	`jnl`	Do You See What I Am Pointing At? Gesture-Based Egocentric Video Question Answering. CoRR Yura Choi, Roy Miles, Rolandos Alexandros Potamias, Ismail Elezi, Jiankang Deng, Stefanos Zafeiriou
2026	J	`jnl`	DreamCAD: Scaling Multi-modal CAD Generation using Differentiable Parametric Surfaces. CoRR Mohammad Sadil Khan, Muhammad Usama, Rolandos Alexandros Potamias, Didier Stricker, Muhammad Zeshan Afzal, Jiankang Deng, Ismail Elezi
2026	J	`jnl`	Test-Time Scaling with Diffusion Language Models via Reward-Guided Stitching. CoRR Roy Miles, Aysim Toker, Andreea-Maria Oncescu, Songcen Xu, Jiankang Deng, Ismail Elezi
2026	J	`jnl`	Top 10 Open Challenges Steering the Future of Diffusion Language Model and Its Variants. CoRR Yunhe Wang, Kai Han, Huiling Zhen, Yuchuan Tian, Hanting Chen, Yongbing Huang, Yufei Cui, Yingte Shu, Shan Gao, Ismail Elezi, Roy Vaughan Miles, Songcen Xu, Feng Wen, Chao Xu, Sinan Zeng, Dacheng Tao
2026	A*	`conf`	ViCToR: Improving Visual Comprehension via Token Reconstruction for Pretraining LMMs. AAAI Yin Xie, Kaicheng Yang, Peirou Liang, Xiang An, Yongle Zhao, Yumeng Wang, Ziyong Feng, Roy Miles, Ismail Elezi, Jiankang Deng
2025	J	`jnl`	"Principal Components" Enable A New Language of Images. CoRR Xin Wen, Bingchen Zhao, Ismail Elezi, Jiankang Deng, Xiaojuan Qi
2025	J	`jnl`	CASteer: Steering Diffusion Models for Controllable Generation. CoRR Tatiana Gaintseva, Chengcheng Ma, Ziquan Liu, Martin Benning, Gregory G. Slabaugh, Jiankang Deng, Ismail Elezi
2025	J	`jnl`	Deep active learning: A reality check. Pattern Recognit. Lett. Edrina Gashi, Jiankang Deng, Ismail Elezi
2025	A*	`conf`	Fractal Calibration for Long-tailed Object Detection. CVPR Konstantinos Panagiotis Alexandridis, Ismail Elezi, Jiankang Deng, Anh Nguyen, Shan Luo
2025	A*	`conf`	From Attention to Activation: Unraveling the Enigmas of Large Language Models. ICLR Prannay Kaul, Chengcheng Ma, Ismail Elezi, Jiankang Deng
2025	J	`jnl`	Region-based Cluster Discrimination for Visual Representation Learning. CoRR 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	J	`jnl`	RetouchLLM: Training-free Code-based Image Retouching with Vision Language Models. CoRR Moon Ye-Bin, Roy Miles, Tae-Hyun Oh, Ismail Elezi, Jiankang Deng
2025	J	`jnl`	SATGround: A Spatially-Aware Approach for Visual Grounding in Remote Sensing. CoRR Aysim Toker, Andreea-Maria Oncescu, Roy Miles, Ismail Elezi, Jiankang Deng
2024	A*	`conf`	$V_{k}D$: Improving Knowledge Distillation Using Orthogonal Projections. CVPR Roy Miles, Ismail Elezi, Jiankang Deng
2024	J	`jnl`	Deep Active Learning: A Reality Check. CoRR Edrina Gashi, Jiankang Deng, Ismail Elezi
2024	J	`jnl`	Fractal Calibration for long-tailed object detection. CoRR Konstantinos Panagiotis Alexandridis, Ismail Elezi, Jiankang Deng, Anh Nguyen, Shan Luo
2024	J	`jnl`	From Attention to Activation: Unravelling the Enigmas of Large Language Models. CoRR Prannay Kaul, Chengcheng Ma, Ismail Elezi, Jiankang Deng
2024	A*	`conf`	G3DR: Generative 3D Reconstruction in ImageNet. CVPR Pradyumna Reddy, Ismail Elezi, Jiankang Deng
2024	J	`jnl`	G3DR: Generative 3D Reconstruction in ImageNet. CoRR Pradyumna Reddy, Ismail Elezi, Jiankang Deng
2024	A*	`conf`	Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning. AAAI Chengcheng Ma, Ismail Elezi, Jiankang Deng, Weiming Dong, Changsheng Xu
2024	J	`jnl`	V CoRR Roy Miles, Ismail Elezi, Jiankang Deng
2024	A*	`conf`	VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections. NeurIPS Roy Miles, Pradyumna Reddy, Ismail Elezi, Jiankang Deng
2024	J	`jnl`	VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections. CoRR Roy Miles, Pradyumna Reddy, Ismail Elezi, Jiankang Deng
2023	J	`jnl`	Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis. CoRR Maxim Maximov, Tim Meinhardt, Ismail Elezi, Zoe Papakipos, Caner Hazirbas, Cristian Canton-Ferrer, Laura Leal-Taixé
2023	A*	`conf`	Simple Cues Lead to a Strong Multi-Object Tracker. CVPR Jenny Seidenschwarz, Guillem Brasó, Victor Castro Serrano, Ismail Elezi, Laura Leal-Taixé
2023	J	`jnl`	The Group Loss++: A Deeper Look Into Group Loss for Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé
2023	J	`jnl`	Three Heads Are Better Than One: Complementary Experts for Long-Tailed Semi-supervised Learning. CoRR Chengcheng Ma, Ismail Elezi, Jiankang Deng, Weiming Dong, Changsheng Xu
2022	—	`conf`	Decoupling Identity and Visual Quality for Image and Video Anonymization. ACCV (6) Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
2022	A*	`conf`	Learning to Discover and Detect Objects. NeurIPS Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep
2022	J	`jnl`	Learning to Discover and Detect Objects. CoRR Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep
2022	A*	`conf`	Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. CVPR Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, José M. Álvarez
2022	J	`jnl`	Simple Cues Lead to a Strong Multi-Object Tracker. CoRR Jenny Seidenschwarz, Guillem Brasó, Ismail Elezi, Laura Leal-Taixé
2022	J	`jnl`	The Group Loss++: A deeper look into group loss for deep metric learning. CoRR Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé
2022	A*	`conf`	The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. NeurIPS Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi
2022	J	`jnl`	The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. CoRR Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi
2021	A*	`conf`	Active Learning for Deep Object Detection via Probabilistic Modeling. ICCV Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, José M. Álvarez
2021	J	`jnl`	Active Learning for Deep Object Detection via Probabilistic Modeling. CoRR Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, José M. Álvarez
2021	A*	`conf`	Learning Intra-Batch Connections for Deep Metric Learning. ICML Jenny Denise Seidenschwarz, Ismail Elezi, Laura Leal-Taixé
2021	J	`jnl`	Learning Intra-Batch Connections for Deep Metric Learning. CoRR Jenny Seidenschwarz, Ismail Elezi, Laura Leal-Taixé
2021	J	`jnl`	The 2021 Image Similarity Dataset and Challenge. CoRR 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
2021	J	`jnl`	Towards Reducing Labeling Cost in Deep Object Detection. CoRR Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, José M. Álvarez
2020	A*	`conf`	CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. CVPR Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
2020	J	`jnl`	CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. CoRR Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
2020	J	`jnl`	Exploiting Contextual Information with Deep Neural Networks. CoRR Ismail Elezi
2020	—	`—`	Exploiting contextual information with deep neural networks. Ismail Elezi
2020	—	`conf`	The Group Loss for Deep Metric Learning. ECCV (7) Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé
2019	J	`jnl`	The Group Loss for Deep Metric Learning. CoRR Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé
2018	—	`conf`	Deep Learning in the Wild. ANNPR Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener
2018	J	`jnl`	Deep Learning in the Wild. CoRR Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener
2018	—	`conf`	Deep Watershed Detector for Music Object Recognition. ISMIR Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann
2018	J	`jnl`	Deep Watershed Detector for Music Object Recognition. CoRR Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann
2018	J	`jnl`	DeepScores - A Dataset for Segmentation, Detection and Classification of Tiny Objects. CoRR Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann
2018	J	`jnl`	DeepScores and Deep Watershed Detection: current state and open issues. CoRR Ismail Elezi, Lukas Tuggener, Marcello Pelillo, Thilo Stadelmann
2018	B	`conf`	DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects. ICPR Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann
2018	—	`conf`	Learning Neural Models for End-to-End Clustering. ANNPR Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Dürr, Thilo Stadelmann
2018	J	`jnl`	Learning Neural Models for End-to-End Clustering. CoRR Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Durr, Thilo Stadelmann
2018	B	`conf`	Transductive Label Augmentation for Improved Deep Network Learning. ICPR Ismail Elezi, Alessandro Torcinovich, Sebastiano Vascon, Marcello Pelillo
2018	J	`jnl`	Transductive Label Augmentation for Improved Deep Network Learning. CoRR Ismail Elezi, Alessandro Torcinovich, Sebastiano Vascon, Marcello Pelillo
2017	J	`jnl`	Revealing structure in large graphs: Szemerédi's regularity lemma and its use in pattern recognition. Pattern Recognit. Lett. Marcello Pelillo, Ismail Elezi, Marco Fiorucci
2016	J	`jnl`	Revealing Structure in Large Graphs: Szemerédi's Regularity Lemma and its Use in Pattern Recognition. CoRR Marcello Pelillo, Ismail Elezi, Marco Fiorucci