Mircea Nicolescu

Mircea Nicolescu

University of Nevada, Reno

H-index: 27

North America-United States

About Mircea Nicolescu

Mircea Nicolescu, With an exceptional h-index of 27 and a recent h-index of 12 (since 2020), a distinguished researcher at University of Nevada, Reno, specializes in the field of Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

ROS-Pose: Simplified object detection and planar pose estimation for rapid robotics application development

Improved Loss Function for Mass Segmentation in Mammography Images Using Density and Mass Size

Feature Selection Using the Advanced Shapley Value

Spatial Matching Loss Function for Mass Segmentation on Whole Mammography Images

ASP Loss: adaptive sample-level prioritizing loss for mass segmentation on whole mammography images

Enhancing Human–Robot Collaboration through a Multi-Module Interaction Framework with Sensor Fusion: Object Recognition, Verbal Communication, User of Interest Detection …

Integrating User Gaze with Verbal Instruction to Reliably Estimate Robotic Task Parameters in a Human-Robot Collaborative Environment

Maritime dynamic resource allocation and risk minimization using visual analytics and elitist multi-objective optimization

Mircea Nicolescu Information

University

Position

Professor of Computer Science and Engineering

Citations(all)

3503

Citations(since 2020)

937

Cited By

2972

hIndex(all)

27

hIndex(since 2020)

12

i10Index(all)

56

i10Index(since 2020)

19

Email

University Profile Page

University of Nevada, Reno

Google Scholar

View Google Scholar Profile

Mircea Nicolescu Skills & Research Interests

Computer Vision

Top articles of Mircea Nicolescu

Title

Journal

Author(s)

Publication Date

ROS-Pose: Simplified object detection and planar pose estimation for rapid robotics application development

Software Impacts

Shuvo Kumar Paul

Ovi Paul

Monica Nicolescu

Mircea Nicolescu

2024/2/7

Improved Loss Function for Mass Segmentation in Mammography Images Using Density and Mass Size

Journal of Imaging

Parvaneh Aliniya

Mircea Nicolescu

Monica Nicolescu

George Bebis

2024/1/9

Feature Selection Using the Advanced Shapley Value

Ayesh Meepaganithage

Suman Rath

Mircea Nicolescu

Monica Nicolescu

Shamik Sengupta

2024/1/8

Spatial Matching Loss Function for Mass Segmentation on Whole Mammography Images

Parvaneh Aliniya

Mircea Nicolescu

Monica Nicolescu

George Bebis

2023/10/13

ASP Loss: adaptive sample-level prioritizing loss for mass segmentation on whole mammography images

Parvaneh Aliniya

Mircea Nicolescu

Monica Nicolescu

George Bebis

2023/9/22

Enhancing Human–Robot Collaboration through a Multi-Module Interaction Framework with Sensor Fusion: Object Recognition, Verbal Communication, User of Interest Detection …

Sensors

Shuvo Kumar Paul

Mircea Nicolescu

Monica Nicolescu

2023/6/21

Integrating User Gaze with Verbal Instruction to Reliably Estimate Robotic Task Parameters in a Human-Robot Collaborative Environment

Shuvo Kumar Paul

Mircea Nicolescu

Monica Nicolescu

2023/3/10

Maritime dynamic resource allocation and risk minimization using visual analytics and elitist multi-objective optimization

Mayamin Hamid Raha

2023

Hybrid Region and Pixel-Level Adaptive Loss for Mass Segmentation on Whole Mammography Images

Parvaneh Aliniya

Mircea Nicolescu

Monica Nicolescu

George Bebis

2023/10/16

Two-step data augmentation for masked face detection and recognition: Turning fake masks to real

International Conference on Image Processing and Vision Engineering (IMPROVE)

Yan Yang Aaren

George Bebis

Mircea Nicolescu

2022

Next Best View Planning in a Single Glance: An Approach to Improve Object Recognition

SN Computer Science

Pourya Hoseini

Shuvo Kumar Paul

Mircea Nicolescu

Monica Nicolescu

2022/11/11

Integration of Multimodal Inputs and Interaction Interfaces for Generating Reliable Human-Robot Collaborative Task Configurations.

International Journal for Computers & Their Applications

Shuvo Kumar Paul

Pourya Hoseini

Arjun Vettath Gopinath

Mircea Nicolescu

Monica Nicolescu

2022/6/1

Vision-based Assessment of Instructional Content on Golf Performance

Akshay Krishna

Patrick Smith

Mircea Nicolescu

Steven C Hayes

2022/3/25

A one-shot next best view system for active object recognition

Applied Intelligence

Pourya Hoseini

Shuvo Kumar Paul

Mircea Nicolescu

Monica Nicolescu

2022/3

Simultaneous Integration of Multimodal Interfaces for Generating Structured and Reliable Robotic Task Configurations

Shuvo Kumar Paul

Pourya Hoseini

Arjun Vettath Gopinath

Mircea Nicolescu

Monica Nicolescu

2022/2/18

Early Classification of Intent for Maritime Domains Using Multinomial Hidden Markov Models

Frontiers in Artificial Intelligence

Logan Carlson

Dalton Navalta

Monica Nicolescu

Mircea Nicolescu

Gail Woodward

2021/10/7

Object detection and pose estimation from rgb and depth data for real-time, adaptive robotic grasping

Shuvo Kumar Paul

Muhammed Tawfiq Chowdhury

Mircea Nicolescu

Monica Nicolescu

David Feil-Seifer

2021/3/1

A Surface and Appearance-based Next Best View System for Active Object Recognition.

Pourya Hoseini

Shuvo Kumar Paul

Mircea Nicolescu

Monica N Nicolescu

2021

Computation of Suitable Grasp Pose for Usage of Objects Based on Predefined Training and Real-time Pose Estimation

Muhammed Tawfiq Chowdhury

2020

See List of Professors in Mircea Nicolescu University(University of Nevada, Reno)