Cinbis, R.G.[R. Gokberk]
* 2007: Relative Position-Based Spatial Relationships using Mathematical Morphology
* 2008: Human action recognition with line and flow histograms
* 2008: Recognizing actions from still images
* 2009: Learning actions from the Web
* 2011: Unsupervised metric learning for face identification in TV video
* 2012: Contextual Object Detection Using Set-Based Classification
* 2012: Image categorization using Fisher kernels of non-iid image models
* 2013: Segmentation Driven Object Detection with Fisher Vectors
* 2014: Multi-fold MIL Training for Weakly Supervised Object Localization
* 2016: Approximate Fisher Kernels of Non-iid Image Models for Image Categorization
* 2017: Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning
* 2017: Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning
* 2018: Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery
* 2019: Cross-Task Weakly Supervised Learning From Instructional Videos
* 2019: Gradient Matching Generative Networks for Zero-Shot Learning
* 2019: Learning Visually Consistent Label Embeddings for Zero-Shot Learning
* 2019: Multisource Region Attention Network for Fine-Grained Object Recognition in Remote Sensing Imagery
* 2020: Key protected classification for collaborative learning
* 2021: Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos
* 2021: Weakly supervised instance attention for multisource fine-grained object recognition with an application to tree species classification
* 2022: Caption generation on scenes with seen and unseen object categories
* 2022: How robust are discriminatively trained zero-shot learning models?
* 2022: MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation
* 2022: Streaming Multiscale Deep Equilibrium Models
* 2023: HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness
* 2023: Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection
* 2023: Towards Zero-Shot Sign Language Recognition
* 2024: Cross-lingual few-shot sign language recognition
Includes: Cinbis, R.G.[R. Gokberk] Cinbis, R.G.[Ramazan Gokberk] Cinbis, R.G.
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