Ehsaeyan, E.[Ehsan]
* 2021: Multilevel Image Thresholding Method Using the Darwinian Cuckoo Search Algorithm, A
* 2022: Study on Darwinian Crow Search Algorithm for Multilevel Thresholding, A
Ehsan, L.[Lubaina]
* 2020: Self-attentive Adversarial Stain Normalization
Ehsan, N.
* 2017: SMAP L-Band Microwave Radiometer: Instrument Design and First Year on Orbit
Ehsan, S.[Shoaib]
* 2009: Novel Hardware Algorithms for Row-Parallel Integral Image Calculation
* 2011: Are Performance Differences of Interest Operators Statistically Significant?
* 2011: Measuring the Coverage of Interest Point Detectors
* 2012: Algorithm for the Contextual Adaption of SURF Octave Selection With Good Matching Performance: Best Octaves, An
* 2014: Image fusion using multivariate and multidimensional EMD
* 2015: Assessing the performance bounds of local feature detectors: Taking inspiration from electronics design practices
* 2015: Performance characterization of image feature detectors in relation to the scene content utilizing a large image database
* 2016: Automatic Selection of the Optimal Local Feature Detector
* 2016: Generic Framework for Assessing the Performance Bounds of Image Feature Detectors, A
* 2016: LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-driving Mode
* 2019: Assessing Capsule Networks with Biased Data
* 2021: Memorable Maps: A Framework for Re-Defining Places in Visual Place Recognition
* 2021: VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change
* 2022: Effects of Non-Driving Related Tasks During Self-Driving Mode
Includes: Ehsan, S.[Shoaib] Ehsan, S.
14 for Ehsan, S.
Ehsandoust, B.
* 2017: Relationships Between Nonlinear and Space-Variant Linear Models in Hyperspectral Image Unmixing
Ehsani, A.H.[Amir Houshang]
* 2010: Effect of SRTM resolution on morphometric feature identification using neural network: self organizing map
Ehsani, K.
* 2018: SeGAN: Segmenting and Generating the Invisible
* 2018: Who Let the Dogs Out? Modeling Dog Behavior from Visual Data
* 2019: Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
* 2020: Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects
* 2021: Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery
* 2021: Contrasting Contrastive Self-Supervised Representation Learning Pipelines
* 2021: ManipulaTHOR: A Framework for Visual Object Manipulation
* 2022: Continuous Scene Representations for Embodied AI
* 2022: Object Manipulation via Visual Target Localization
* 2023: Phone2Proc: Bringing Robust Robots into Our Chaotic World
* 2023: Towards Disturbance-Free Visual Mobile Manipulation
Includes: Ehsani, K. Ehsani, K.[Kiana]
11 for Ehsani, K.
Ehsani, M.[Mehrdad]
* 2021: State of the Art and Trends in Electric and Hybrid Electric Vehicles
Ehsani, M.R.[Mohammad Reza]
* 2021: Assessment of Snowfall Accumulation from Satellite and Reanalysis Products Using SNOTEL Observations in Alaska
Ehsani, R.[Reza]
* 2018: Applications of High-Resolution Imaging for Open Field Container Nursery Counting
* 2019: Using Digital Cameras on an Unmanned Aerial Vehicle to Derive Optimum Color Vegetation Indices for Leaf Nitrogen Concentration Monitoring in Winter Wheat
Ehsani, S.M.S.[Sayyed Mohammad Saeed]
* 2018: Semantic image segmentation using an improved hierarchical graphical model
Ehsanit, K.[Kiana]
* 2023: Objaverse: A Universe of Annotated 3D Objects
Ehsanpour, M.[Mahsa]
* 2020: Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos
* 2021: TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild
* 2022: JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection
* 2023: Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers