Keselman, L.
* 2017: Intel(R) RealSense(TM) Stereoscopic Depth Cameras
* 2019: Direct Fitting of Gaussian Mixture Models
* 2022: Approximate Differentiable Rendering with Algebraic Surfaces
* 2024: Shape from Shading for Robotic Manipulation
Includes: Keselman, L. Keselman, L.[Leonid]
Keselman, Y.
* 2001: Generic Model Abstraction from Examples
* 2003: Many-to-Many Feature Matching in Object Recognition
* 2003: Many-to-many graph matching via metric embedding
* 2003: Many-to-Many Matching of Scale-Space Feature Hierarchies Using Metric Embedding
* 2004: Many-to-Many Feature Matching Using Spherical Coding of Directed Graphs
* 2005: Generic Model Abstraction from Examples
* 2005: Object Categorization and the Need for Many-to-Many Matching
* 2006: Object Recognition as Many-to-Many Feature Matching
* 2012: Many-to-many feature matching in object recognition: a review of three approaches
Includes: Keselman, Y. Keselman, Y.[Yakov]
9 for Keselman, Y.
Kesen, I.[Ilker]
* 2022: Modulating Bottom-Up and Top-Down Visual Processing via Language-Conditional Filters
Kesenci, Y.[Yekta]
* 2022: PDE-Constrained Optimization for Nuclear Mechanics
Keser, M.[Mert]
* 2023: Interpretable Model-Agnostic Plausibility Verification for 2D Object Detectors Using Domain-Invariant Concept Bottleneck Models
Keser, R.K.[Reyhan Kevser]
* 2022: Focus-and-Detect: A small object detection framework for aerial images
Keserwani, P.[Prateek]
* 2022: Cross-Session Motor Imagery EEG Classification using Self-Supervised Contrastive Learning
* 2022: Robust Scene Text Detection for Partially Annotated Training Data
* 2022: Text Region Conditional Generative Adversarial Network for Text Concealment in the Wild