Ahmet Iscen

Orcid: 0000-0002-1856-4790

According to our database1, Ahmet Iscen authored at least 38 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval.
CoRR, 2024

SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code.
CoRR, 2024

SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Retrieval-Enhanced Contrastive Vision-Text Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Generative Approach for Wikipedia-Scale Visual Entity Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
AVIS: Autonomous Visual Information Seeking with Large Language Models.
CoRR, 2023

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent.
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.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning with Neighbor Consistency for Noisy Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Memory Transformer Network for Incremental Learning.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Class-Balanced Distillation for Long-Tailed Visual Recognition.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Memory-Efficient Incremental Learning Through Feature Adaptation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Graph-based particular object discovery.
Mach. Vis. Appl., 2019

Reproducible Experiments on Adaptive Discriminative Region Discovery for Scene Recognition.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Label Propagation for Deep Semi-Supervised Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Memory Vectors for Similarity Search in High-Dimensional Spaces.
IEEE Trans. Big Data, 2018

Unsupervised Object Discovery for Instance Recognition.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Local Orthogonal-Group Testing.
Proceedings of the Computer Vision - ECCV 2018, 2018

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Mining on Manifolds: Metric Learning Without Labels.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Fast Spectral Ranking for Similarity Search.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking.
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).
PhD thesis, 2017

Unsupervised deep object discovery for instance recognition.
CoRR, 2017

Panorama to Panorama Matching for Location Recognition.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Scaling Group Testing Similarity Search.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Group Testing for Identification with Privacy.
Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security, 2016

Efficient Large-Scale Similarity Search Using Matrix Factorization.
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.
IEEE Trans. Image Process., 2015

ConceptFusion: A Flexible Scene Classification Framework.
Proceedings of the Advances in Information Retrieval, 2015

2014
ConceptVision: A Flexible Scene Classification Framework.
CoRR, 2014

Snippet Based Trajectory Statistics Histograms for Assistive Technologies.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

What Is Usual in Unusual Videos? Trajectory Snippet Histograms for Discovering Unusualness.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Scene classification with random forests and object and color distributions.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Knives are picked before slices are cut: recognition through activity sequence analysis.
Proceedings of the 5th international workshop on Multimedia for cooking & eating activities, 2013


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