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