Ahmet Iscen

According to our database, Ahmet Iscen authored at least 36 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Generative Approach for Wikipedia-Scale Visual Entity Recognition.

Mathilde Caron, Ahmet Iscen, Alireza Fathi, Cordelia Schmid

CoRR, 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

2023

AVIS: Autonomous Visual Information Seeking with Large Language Models.

Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi

CoRR, 2023

Retrieval-Enhanced Contrastive Vision-Text Models.

Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid

CoRR, 2023

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent.

Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Image Recognition by Retrieving from Web-Scale Image-Text Data.

Ahmet Iscen, Alireza Fathi, Cordelia Schmid

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory.

Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning with Neighbor Consistency for Noisy Labels.

Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Memory Transformer Network for Incremental Learning.

Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Class-Balanced Distillation for Long-Tailed Visual Recognition.

Ahmet Iscen, André Araújo, Boqing Gong, Cordelia Schmid

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Memory-Efficient Incremental Learning Through Feature Adaptation.

Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid

Proceedings of the Computer Vision - ECCV 2020, 2020

Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels.

Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Graph-based particular object discovery.

Oriane Siméoni, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum

Mach. Vis. Appl., 2019

Reproducible Experiments on Adaptive Discriminative Region Discovery for Scene Recognition.

Zhengyu Zhao, Zhuoran Liu, Martha A. Larson, Ahmet Iscen, Naoko Nitta

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Label Propagation for Deep Semi-Supervised Learning.

Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Unsupervised Object Discovery for Instance Recognition.

Oriane Siméoni, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Local Orthogonal-Group Testing.

Ahmet Iscen, Ondrej Chum

Proceedings of the Computer Vision - ECCV 2018, 2018

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking.

Filip Radenovic, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Mining on Manifolds: Metric Learning Without Labels.

Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Fast Spectral Ranking for Similarity Search.

Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondrej Chum

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking.

Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondrej Chum

Proceedings of the Computer Vision - ACCV 2018, 2018

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

PhD thesis, 2017

Unsupervised deep object discovery for instance recognition.

Oriane Siméoni, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum

CoRR, 2017

Panorama to Panorama Matching for Location Recognition.

Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, Ondrej Chum

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations.

Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, Ondrej Chum

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Scaling Group Testing Similarity Search.

Ahmet Iscen, Laurent Amsaleg, Teddy Furon

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Group Testing for Identification with Privacy.

Ahmet Iscen, Teddy Furon

Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security, 2016

Efficient Large-Scale Similarity Search Using Matrix Factorization.

Ahmet Iscen, Michael G. Rabbat, Teddy Furon

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

ConceptFusion: A Flexible Scene Classification Framework.

Mustafa Ilker Sarac, Ahmet Iscen, Eren Golge, Pinar Duygulu

Proceedings of the Advances in Information Retrieval, 2015

2014

ConceptVision: A Flexible Scene Classification Framework.

Ahmet Iscen, Eren Golge, Pinar Duygulu

CoRR, 2014

Snippet Based Trajectory Statistics Histograms for Assistive Technologies.

Ahmet Iscen, Yijie Wang, Pinar Duygulu, Alexander G. Hauptmann

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

What Is Usual in Unusual Videos? Trajectory Snippet Histograms for Discovering Unusualness.

Ahmet Iscen, Anil Armagan, Pinar Duygulu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Scene classification with random forests and object and color distributions.

Ahmet Iscen, Eren Golge, Anil Armagan, Pinar Duygulu

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Knives are picked before slices are cut: recognition through activity sequence analysis.

Ahmet Iscen, Pinar Duygulu

Proceedings of the 5th international workshop on Multimedia for cooking & eating activities, 2013