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Ahmet Iscen
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2020 – today
- 2024
- [c29]Mathilde Caron, Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
A Generative Approach for Wikipedia-Scale Visual Entity Recognition. CVPR 2024: 17313-17322 - [c28]Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
Retrieval-Enhanced Contrastive Vision-Text Models. ICLR 2024 - [c27]Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi:
SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code. ICML 2024 - [i25]Ziniu Hu, Ahmet Iscen, Aashi Jain, Thomas Kipf, Yisong Yue, David A. Ross, Cordelia Schmid, Alireza Fathi:
SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code. CoRR abs/2403.01248 (2024) - [i24]Mathilde Caron, Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
A Generative Approach for Wikipedia-Scale Visual Entity Recognition. CoRR abs/2403.02041 (2024) - [i23]Pavel Suma, Giorgos Kordopatis-Zilos, Ahmet Iscen, Giorgos Tolias:
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval. CoRR abs/2408.03282 (2024) - 2023
- [c26]Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data. CVPR 2023: 19295-19304 - [c25]Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi:
Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CVPR 2023: 23369-23379 - [c24]Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi:
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent. NeurIPS 2023 - [i22]Ahmet Iscen, Alireza Fathi, Cordelia Schmid:
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data. CoRR abs/2304.05173 (2023) - [i21]Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
Retrieval-Enhanced Contrastive Vision-Text Models. CoRR abs/2306.07196 (2023) - [i20]Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi:
AVIS: Autonomous Visual Information Seeking with Large Language Models. CoRR abs/2306.08129 (2023) - 2022
- [c23]Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
A Memory Transformer Network for Incremental Learning. BMVC 2022: 388 - [c22]Ahmet Iscen, Jack Valmadre
, Anurag Arnab, Cordelia Schmid:
Learning with Neighbor Consistency for Noisy Labels. CVPR 2022: 4662-4671 - [i19]Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid:
Learning with Neighbor Consistency for Noisy Labels. CoRR abs/2202.02200 (2022) - [i18]Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid:
A Memory Transformer Network for Incremental Learning. CoRR abs/2210.04485 (2022) - [i17]Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi:
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CoRR abs/2212.05221 (2022) - 2021
- [c21]Ahmet Iscen, André Araújo, Boqing Gong, Cordelia Schmid:
Class-Balanced Distillation for Long-Tailed Visual Recognition. BMVC 2021: 165 - [i16]Ahmet Iscen, André Araújo, Boqing Gong, Cordelia Schmid:
Class-Balanced Distillation for Long-Tailed Visual Recognition. CoRR abs/2104.05279 (2021) - 2020
- [c20]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid:
Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels. ECCV (10) 2020: 286-302 - [c19]Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid:
Memory-Efficient Incremental Learning Through Feature Adaptation. ECCV (16) 2020: 699-715 - [i15]Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid:
Memory-Efficient Incremental Learning Through Feature Adaptation. CoRR abs/2004.00713 (2020)
2010 – 2019
- 2019
- [j3]Oriane Siméoni, Ahmet Iscen
Graph-based particular object discovery. Mach. Vis. Appl. 30(2): 243-254 (2019) - [c18]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Label Propagation for Deep Semi-Supervised Learning. CVPR 2019: 5070-5079 - [c17]Zhengyu Zhao, Zhuoran Liu, Martha A. Larson, Ahmet Iscen, Naoko Nitta:
Reproducible Experiments on Adaptive Discriminative Region Discovery for Scene Recognition. ACM Multimedia 2019: 1076-1079 - [i14]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Label Propagation for Deep Semi-supervised Learning. CoRR abs/1904.04717 (2019) - [i13]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid:
Graph convolutional networks for learning with few clean and many noisy labels. CoRR abs/1910.00324 (2019) - 2018
- [j2]Ahmet Iscen
Memory Vectors for Similarity Search in High-Dimensional Spaces. IEEE Trans. Big Data 4(1): 65-77 (2018) - [c16]Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondrej Chum:
Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking. ACCV (2) 2018: 301-316 - [c15]Filip Radenovic, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. CVPR 2018: 5706-5715 - [c14]Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondrej Chum:
Fast Spectral Ranking for Similarity Search. CVPR 2018: 7632-7641 - [c13]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Mining on Manifolds: Metric Learning Without Labels. CVPR 2018: 7642-7651 - [c12]Ahmet Iscen, Ondrej Chum:
Local Orthogonal-Group Testing. ECCV (2) 2018: 460-476 - [c11]Oriane Siméoni, Ahmet Iscen, Giorgos Tolias
Unsupervised Object Discovery for Instance Recognition. WACV 2018: 1745-1754 - [i12]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Mining on Manifolds: Metric Learning without Labels. CoRR abs/1803.11095 (2018) - [i11]Filip Radenovic, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking. CoRR abs/1803.11285 (2018) - [i10]Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondrej Chum:
Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking. CoRR abs/1807.08692 (2018) - [i9]Ahmet Iscen, Ondrej Chum:
Local Orthogonal-Group Testing. CoRR abs/1807.09848 (2018) - 2017
- [b1]Ahmet Iscen:
Continuous memories for representing sets of vectors and image collections. (Mémoires continues représentant des ensembles de vecteurs et des collections d'images). University of Rennes 1, France, 2017 - [c10]Ahmet Iscen, Giorgos Tolias
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations. CVPR 2017: 926-935 - [c9]Ahmet Iscen, Giorgos Tolias
Panorama to Panorama Matching for Location Recognition. ICMR 2017: 392-396 - [i8]Ahmet Iscen, Yannis Avrithis, Giorgos Tolias, Teddy Furon, Ondrej Chum:
Fast Spectral Ranking for Similarity Search. CoRR abs/1703.06935 (2017) - [i7]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, Ondrej Chum:
Panorama to panorama matching for location recognition. CoRR abs/1704.06591 (2017) - [i6]Oriane Siméoni, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum:
Unsupervised deep object discovery for instance recognition. CoRR abs/1709.04725 (2017) - 2016
- [c8]Ahmet Iscen, Michael G. Rabbat, Teddy Furon:
Efficient Large-Scale Similarity Search Using Matrix Factorization. CVPR 2016: 2073-2081 - [c7]Ahmet Iscen, Teddy Furon:
Group Testing for Identification with Privacy. IH&MMSec 2016: 51-56 - [c6]Ahmet Iscen, Laurent Amsaleg, Teddy Furon:
Scaling Group Testing Similarity Search. ICMR 2016: 213-220 - [i5]Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, Ondrej Chum:
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations. CoRR abs/1611.05113 (2016) - 2015
- [j1]Ahmet Iscen, Giorgos Tolias
A Comparison of Dense Region Detectors for Image Search and Fine-Grained Classification. IEEE Trans. Image Process. 24(8): 2369-2381 (2015) - [c5]Mustafa Ilker Sarac, Ahmet Iscen, Eren Golge, Pinar Duygulu:
ConceptFusion: A Flexible Scene Classification Framework. ECIR 2015: 55-60 - 2014
- [c4]Ahmet Iscen, Anil Armagan, Pinar Duygulu
What Is Usual in Unusual Videos? Trajectory Snippet Histograms for Discovering Unusualness. CVPR Workshops 2014: 808-813 - [c3]Ahmet Iscen, Yijie Wang, Pinar Duygulu
Snippet Based Trajectory Statistics Histograms for Assistive Technologies. ECCV Workshops (4) 2014: 3-16 - [i4]Ahmet Iscen, Anil Armagan, Pinar Duygulu:
What is usual in unusual videos? Trajectory snippet histograms for discovering unusualness. CoRR abs/1401.0730 (2014) - [i3]Ahmet Iscen, Eren Golge, Pinar Duygulu:
ConceptVision: A Flexible Scene Classification Framework. CoRR abs/1401.0733 (2014) - [i2]Ahmet Iscen, Giorgos Tolias, Philippe Henri Gosselin, Hervé Jégou:
A comparison of dense region detectors for image search and fine-grained classification. CoRR abs/1410.8151 (2014) - [i1]Ahmet Iscen, Teddy Furon, Vincent Gripon, Michael G. Rabbat, Hervé Jégou:
Memory vectors for similarity search in high-dimensional spaces. CoRR abs/1412.3328 (2014) - 2013
- [c2]Ahmet Iscen, Pinar Duygulu
Knives are picked before slices are cut: recognition through activity sequence analysis. CEA@ACM Multimedia 2013: 3-8 - [c1]Ahmet Iscen, Eren Golge, Anil Armagan, Pinar Duygulu
Scene classification with random forests and object and color distributions. SIU 2013: 1-4
Coauthor Index
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last updated on 2024-10-07 01:17 CEST by the dblp team
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