Knives are picked before slices are cut: recognition through activity sequence analysis. - Ahmet Iscen; Pinar Duygulu (CEA@ACM Multimedia, 2013)

Scene classification with random forests and object and color distributions. - Ahmet Iscen; Eren Golge; Anil Armagan; Pinar Duygulu (SIU, 2013)

What Is Usual in Unusual Videos? Trajectory Snippet Histograms for Discovering Unusualness. - Ahmet Iscen; Anil Armagan; Pinar Duygulu (CVPR Workshops, 2014)

Snippet Based Trajectory Statistics Histograms for Assistive Technologies. - Ahmet Iscen; Yijie Wang; Pinar Duygulu; Alexander G. Hauptmann (ECCV Workshops (4), 2014)

ConceptVision: A Flexible Scene Classification Framework. - Ahmet Iscen; Eren Golge; Pinar Duygulu (CoRR, 2014)

ConceptFusion: A Flexible Scene Classification Framework. - Mustafa Ilker Sarac; Ahmet Iscen; Eren Golge; Pinar Duygulu (ECIR, 2015)

A Comparison of Dense Region Detectors for Image Search and Fine-Grained Classification. - Ahmet Iscen; Giorgos Tolias; Philippe Henri Gosselin; Hervé Jégou (IEEE Trans. Image Process., 2015)

Efficient Large-Scale Similarity Search Using Matrix Factorization. - Ahmet Iscen; Michael G. Rabbat; Teddy Furon (CVPR, 2016)

Group Testing for Identification with Privacy. - Ahmet Iscen; Teddy Furon (IH&MMSec, 2016)

Scaling Group Testing Similarity Search. - Ahmet Iscen; Laurent Amsaleg; Teddy Furon (ICMR, 2016)

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations. - Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Teddy Furon; Ondrej Chum (CVPR, 2017)

Panorama to Panorama Matching for Location Recognition. - Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Teddy Furon; Ondrej Chum (ICMR, 2017)

Unsupervised deep object discovery for instance recognition. - Oriane Siméoni; Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (CoRR, 2017)

Continuous memories for representing sets of vectors and image collections. (Mémoires continues représentant des ensembles de vecteurs et des collections d'images). - Ahmet Iscen (2017)

Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking. - Ahmet Iscen; Yannis Avrithis; Giorgos Tolias; Teddy Furon; Ondrej Chum (ACCV (2), 2018)

Fast Spectral Ranking for Similarity Search. - Ahmet Iscen; Yannis Avrithis; Giorgos Tolias; Teddy Furon; Ondrej Chum (CVPR, 2018)

Mining on Manifolds: Metric Learning Without Labels. - Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (CVPR, 2018)

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. - Filip Radenovic; Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (CVPR, 2018)

Local Orthogonal-Group Testing. - Ahmet Iscen; Ondrej Chum (ECCV (2), 2018)

Unsupervised Object Discovery for Instance Recognition. - Oriane Siméoni; Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (WACV, 2018)

Memory Vectors for Similarity Search in High-Dimensional Spaces. - Ahmet Iscen; Teddy Furon; Vincent Gripon; Michael G. Rabbat; Hervé Jégou (IEEE Trans. Big Data, 2018)

Label Propagation for Deep Semi-Supervised Learning. - Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (CVPR, 2019)

Reproducible Experiments on Adaptive Discriminative Region Discovery for Scene Recognition. - Zhengyu Zhao 001; Zhuoran Liu 001; Martha A. Larson; Ahmet Iscen; Naoko Nitta (ACM Multimedia, 2019)

Graph-based particular object discovery. - Oriane Siméoni; Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum (Mach. Vis. Appl., 2019)

Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels. - Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ondrej Chum; Cordelia Schmid (ECCV (10), 2020)

Memory-Efficient Incremental Learning Through Feature Adaptation. - Ahmet Iscen; Jeffrey Zhang 004; Svetlana Lazebnik; Cordelia Schmid (ECCV (16), 2020)

Class-Balanced Distillation for Long-Tailed Visual Recognition. - Ahmet Iscen; André Araújo 001; Boqing Gong; Cordelia Schmid (BMVC, 2021)

A Memory Transformer Network for Incremental Learning. - Ahmet Iscen; Thomas Bird; Mathilde Caron; Alireza Fathi; Cordelia Schmid (BMVC, 2022)

Learning with Neighbor Consistency for Noisy Labels. - Ahmet Iscen; Jack Valmadre; Anurag Arnab; Cordelia Schmid (CVPR, 2022)

Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Zirui Wang; Kai-Wei Chang; Yizhou Sun; Cordelia Schmid; David A. Ross; Alireza Fathi (CVPR, 2023)

Improving Image Recognition by Retrieving from Web-Scale Image-Text Data. - Ahmet Iscen; Alireza Fathi; Cordelia Schmid (CVPR, 2023)

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Kai-Wei Chang; Yizhou Sun; David Ross 001; Cordelia Schmid; Alireza Fathi (NeurIPS, 2023)

AVIS: Autonomous Visual Information Seeking with Large Language Models. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Kai-Wei Chang; Yizhou Sun; David A. Ross; Cordelia Schmid; Alireza Fathi (CoRR, 2023)

A Generative Approach for Wikipedia-Scale Visual Entity Recognition. - Mathilde Caron; Ahmet Iscen; Alireza Fathi; Cordelia Schmid (CVPR, 2024)

AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-Level Retrieval. - Pavel Suma; Giorgos Kordopatis-Zilos; Ahmet Iscen; Giorgos Tolias (ECCV (59), 2024)

Retrieval-Enhanced Contrastive Vision-Text Models. - Ahmet Iscen; Mathilde Caron; Alireza Fathi; Cordelia Schmid (ICLR, 2024)

SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code. - Ziniu Hu; Ahmet Iscen; Aashi Jain; Thomas Kipf; Yisong Yue; David A. Ross; Cordelia Schmid; Alireza Fathi (ICML, 2024)

Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach. - Mathilde Caron; Alireza Fathi; Cordelia Schmid; Ahmet Iscen (NeurIPS, 2024)

SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code. - Ziniu Hu; Ahmet Iscen; Aashi Jain; Thomas Kipf; Yisong Yue; David A. Ross; Cordelia Schmid; Alireza Fathi (CoRR, 2024)

Memory-Modular Classification: Learning to Generalize with Memory Replacement. - Dahyun Kang; Ahmet Iscen; Eunchan Jo; Sua Choi; Minsu Cho; Cordelia Schmid (Trans. Mach. Learn. Res., 2025)

MINERVA: Evaluating Complex Video Reasoning. - Arsha Nagrani; Sachit Menon; Ahmet Iscen; Shyamal Buch; Ramin Mehran; Nilpa Jha; Anja Hauth; Yukun Zhu; Carl Vondrick; Mikhail Sirotenko; Cordelia Schmid; Tobias Weyand (CoRR, 2025)

Continual Learning in Vision-Language Models via Aligned Model Merging. - Ghada Sokar; Gintare Karolina Dziugaite; Anurag Arnab; Ahmet Iscen; Pablo Samuel Castro; Cordelia Schmid (CoRR, 2025)

Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames. - Anurag Arnab; Ahmet Iscen; Mathilde Caron; Alireza Fathi; Cordelia Schmid (CoRR, 2025)