Index for dosh

Doshi Velez, F. * 2015: Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning
Includes: Doshi Velez, F. Doshi-Velez, F.

Doshi, A.[Ashish] * 2005: Optical Flow Diffusion with Robustified Kernels
* 2006: Hybrid Cone-Cylinder Codebook Model for Foreground Detection with Shadow and Highlight Suppression
* 2006: Robust Diffusion of Structural Flows for Volumetric Image Interpolation
* 2006: Structural flow smoothing for shape interpolation
* 2007: Navier-Stokes formulation for modelling turbulent optical flow
* 2007: Satellite imagery based adaptive background models and shadow suppression
* 2009: Head and gaze dynamics in visual attention and context learning
* 2009: Novel Active Heads-Up Display for Driver Assistance, A
* 2009: On the Roles of Eye Gaze and Head Dynamics in Predicting Driver's Intent to Change Lanes
* 2010: Attention estimation by simultaneous observation of viewer and view
* 2010: Detecting Vorticity in Optical Flow of Fluids
* 2010: Robust Processing of Optical Flow of Fluids
* 2010: Smoothing of optical flow using robustified diffusion kernels
* 2012: Modeling and prediction of driver behavior by foot gesture analysis
* 2017: Use of Unmanned Aerial Systems in Marine Mammal Research, The
* 2023: Green Fingerprint of Antarctica: Drones, Hyperspectral Imaging, and Machine Learning for Moss and Lichen Classification, A
Includes: Doshi, A.[Ashish] Doshi, A. Doshi, A.[Anup] Doshi, A.[Ashray]
16 for Doshi, A.

Doshi, J. * 2018: Residual Inception Skip Network for Binary Segmentation

Doshi, K.[Keval] * 2020: Any-Shot Sequential Anomaly Detection in Surveillance Videos
* 2020: Continual Learning for Anomaly Detection in Surveillance Videos
* 2020: Fast Unsupervised Anomaly Detection in Traffic Videos
* 2021: Efficient Approach for Anomaly Detection in Traffic Videos, An
* 2021: Online anomaly detection in surveillance videos with asymptotic bound on false alarm rate
* 2022: Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems
* 2022: Federated Learning-based Driver Activity Recognition for Edge Devices
* 2022: Modular and Unified Framework for Detecting and Localizing Video Anomalies, A
* 2022: Multi-Task Learning for Video Surveillance with Limited Data
* 2022: Rethinking Video Anomaly Detection - A Continual Learning Approach
* 2023: Dynamic Inference with Grounding Based Vision and Language Models
* 2023: Towards Interpretable Video Anomaly Detection
* 2023: Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding
* 2024: Multimodal Benchmark and Improved Architecture for Zero Shot Learning, A
* 2024: Real-Time Weakly Supervised Video Anomaly Detection
Includes: Doshi, K.[Keval] Doshi, K.
15 for Doshi, K.

Doshi, N.P.[Niraj P.] * 2012: comparative analysis of local binary pattern texture classification, A
* 2012: comprehensive benchmark of local binary pattern algorithms for texture retrieval, A
* 2012: Multi-Dimensional Local Binary Pattern Descriptors for Improved Texture Analysis
* 2013: Automatic Classification of HEp-2 Cells Using Multi-dimensional Local Binary Patterns
* 2013: HEp-2 Cell Classification Using Multi-dimensional Local Binary Patterns and Ensemble Classification
* 2013: Texture Classification Using Multi-dimensional LBP Variance
Includes: Doshi, N.P.[Niraj P.] Doshi, N.P.

Doshi, R.[Ruhi] * 2017: Transdisciplinary Foundations of Geospatial Data Science

Doshi, S.[Susan] * 2015: Automated Digital Hair Removal by Threshold Decomposition and Morphological Analysis

Doshi, T.[Trushali] * 2016: Novel Decentralised System Architecture for Multi-camera Target Tracking, A

Doshita, S. * 1987: Figuring out Most Plausible Interpretation from Spatial Constraints

Doshkov, D.[Dimitar] * 2008: Automatic Structure-Aware Inpainting for Complex Image Content
* 2009: automatic Structure-Aware image extrapolation applied to error concealment, An
* 2010: Temporally consistent handling of disocclusions with texture synthesis for depth-image-based rendering
* 2011: Depth Image-Based Rendering With Advanced Texture Synthesis for 3-D Video
* 2012: Depth image-based rendering with spatio-temporally consistent texture synthesis for 3-D video with global motion
* 2012: Perception-oriented video coding based on image analysis and completion: A review
* 2014: 2D-t autoregressive framework for video texture completion
* 2015: On the usage of the 2D-AR-model in texture completion scenarios with causal boundary conditions: A tutorial
Includes: Doshkov, D.[Dimitar] Doshkov, D.
8 for Doshkov, D.

Index for "d"


Last update: 2-May-24 21:08:06
Use price@usc.edu for comments.