Iscen, A.[Ahmet]
* 2014: Snippet Based Trajectory Statistics Histograms for Assistive Technologies
* 2014: What Is Usual in Unusual Videos? Trajectory Snippet Histograms for Discovering Unusualness
* 2015: Comparison of Dense Region Detectors for Image Search and Fine-Grained Classification, A
* 2016: Efficient Large-Scale Similarity Search Using Matrix Factorization
* 2017: Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
* 2018: Fast Spectral Ranking for Similarity Search
* 2018: Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking
* 2018: Local Orthogonal-Group Testing
* 2018: Mining on Manifolds: Metric Learning Without Labels
* 2018: Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
* 2018: Unsupervised Object Discovery for Instance Recognition
* 2019: Graph-based particular object discovery
* 2019: Label Propagation for Deep Semi-Supervised Learning
* 2020: Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels
* 2020: Memory-efficient Incremental Learning Through Feature Adaptation
* 2022: Learning with Neighbor Consistency for Noisy Labels
* 2023: Improving Image Recognition by Retrieving from Web-Scale Image-Text Data
* 2023: Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory
Includes: Iscen, A.[Ahmet] Iscen, A.
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