Md Alimoor Reza

Md Alimoor Reza 

I am an Assistant Professor in the Department of Mathematics and Computer Sciences at Drake University. I lead the Computer Vision and Robotics Lab here at Drake.

Curriculum vitae | Google Scholar | Twitter | Zoom

Email: md.reza (at) drake.edu

Office:
Department of Mathematics and Computer Science
Drake University
Collier-Scripps Hall, Room # 323
2702 Forest Avenue
Des Moines, IA 50311  


Publications

Error Diagnosis of Deep Monocular Depth Estimation Models.
Jagpreet Chawla, Nikhil Thakurdesai, Anuj Godase, Md Alimoor Reza, David Crandall, Soon-Heung Jung.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)
[paper]

Microelectronics Failure Prediction and Localization from Optical and Thermal Imagery.
Md Alimoor Reza, Sami Alajlouni, Manju Chivukula, Kerry Maize, Peter Bermel, Ali Shakouri, and David Crandall.
International Conference on Physical Assurance and Inspection of Electronics (PAINE 2021)
[paper]

In-the-Moment Visual Information from the Infant’s Egocentric View Determines the Success of Infant Word Learning: A Computational Study.
Andrei Amatuni, Sara Schroer, Ryan Peters, Md Alimoor Reza,Yayun Zhang, David Crandall,and Chen Yu.
Annual Conference of the Cognitive Science Society (CogSci 2021)
[paper]

Plasmonic Anti-counterfeit Tags with High Encoding Capacity Rapidly Authenticated with Deep Machine Learning.
Joshua Smith, Md Alimoor Reza, Nathanael Smith, Jianxin, Gu, Maha Ibrar, David Crandall, and Sara Skrabalak.
Journal ACS Nano, 2021. (Impact Factor 18.027) (ACS Nano 2021)
[paper]

Part Segmentationof Novel Quadruped Animals using Keypoint Guidance.
Shujon Naha, Qingyang Xiao, Prianka Banik, Md Alimoor Reza, and David Crandall.
IEEE Winter Conference on Applications of Computer Vision (WACV 2021)
[paper]

IC-ChipNet: Deep Embedding Learning for Fine-grained Retrieval, Recognition, and Verification of Microelectronic Images.
Md Alimoor Reza and David Crandall.
The 49th IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2020)
[paper]

Generalized Attended Object Localization from Egocentric Videos using Weak Supervision.
Shujon Naha, Md Alimoor Reza, Chen Yu, and David Crandall.
British Machine Vision Conference (BMVC 2020)
[paper]

A Computational Model of Early Word Learning from the Infant's Point of View.
Tsuitsui Satoshi, Arjun Chandrasekaran, Md Alimoor Reza, David Crandall, and Chen Yu.
Annual Conference of the Cognitive Science Society (CogSci 2020)
[paper]

Automatic Dense Annotation for Monocular 3D Scene Understanding.
Md Alimoor Reza, Kai Chen, Akshay Naik, David Crandall, and Soon-Heung Jung.
IEEE Access Journal (IEEE Access 2020)
[paper]

Learning to Associate SpokenWords and Visual Objects from Egocentric Video of Parent-infant Social Interaction.
Tsuitsui Satoshi, Arjun Chandrasekaran, Md Alimoor Reza, David Crandall, and Chen Yu.
The 5th international workshop on Egocentric Perception, Interaction and Computing (EPIC) in conjunction with (CVPR 2020)
[paper]

Pose-Guided Knowledge Transfer for Object Part Segmentation.
Shujon Naha, Qingyang Xiao, Prianka Banik, Md Alimoor Reza, David Crandall.
Visual Learning with Limited Labels Workshop (VL3) in conjunction with (CVPR 2020)
[paper]

Automatic Annotation for Semantic Segmentation in Indoor Scenes.
Md Alimoor Reza, Akshay Naik, Kai Chen and David Crandall.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019)
[paper]

Deep Neural Network Based Detection and Verification of Microelectronic Images.
Md Alimoor Reza, Zhenhua Chen and David Crandall.
Journal of Hardware and System Security (HaSS 2019)
[paper]

Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study.
Satoshi Tsutsui, Dian Zhi, Md Alimoor Reza, David Crandall, Chen Yu.
The 4th international workshop on Egocentric Perception, Interaction and Computing (EPIC) in conjunction with (CVPR 2019)
[paper]

FarSight: Long-Range Depth Estimation from Outdoor Images.
Md Alimoor Reza, Philip David and Jana Kosecka.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018)
[Download Dataset] [paper]

A Contact Exploitative Approach to the Amazon Robotics Challenge.
Eadom Dessalene, Georgios Georgakis, Md Alimoor Reza, Yimeng Li, Yossi Ovcharik, Amir Shapiro, Jana Kosecka and Daniel Lofaro.
Warehouse Picking and Automation Workshop (WPAW) in conjunction with (ICRA 2017)
[paper]

Label Propagation in RGB-D Video.
Md. Alimoor Reza, Hui Zheng, Georgios Georgakis and Jana Kosecka.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)
[paper]

Multiview RGB-D Dataset for Object Instance Detection.
Georgios Georgakis, Md. Alimoor Reza, Arsalan Mousavian, P. Le and Jana Kosecka.
International Conference on 3D Vision (3DV 2016)
[paper]

RGB-D Multi-View Object Detection with Object Proposals and Shape Context.
Georgios Georgakis, Md Alimoor Reza and Jana Kosecka.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016)
[paper]

Reinforcement Learning for Semantic Segmentation in Indoor Scenes.
Md Alimoor Reza and Jana Kosecka.
Geometry and Beyond - Representations, Physics, and Scene Understanding for Robotics (WGB) in conjunction with (RSS 2016)
[paper] [arXiv (old version)] [poster]

Lymph Node Metastasis Status in Breast Carcinoma can be Predicted via Image Analysis of Tumor Histology.
Mark Zarella, David Breen, Md Alimoor Reza, Aladin Milutinuvic and Fernando Garcia.
Journal - Analytical and Quantitative Cytology and Histopathology (AQCH 2015)
[paper]

Semantic Segmentation in Indoor Scenes from Supervised Object-Background Hypotheses.
Md Alimoor Reza and Jana Kosecka.
Scene Understanding Workshop (SUNw) in conjunction with (CVPR 2015)
[paper]

Object Recognition and Segmentation in Indoor Scenes from RGB-D Images.
Md Alimoor Reza and Jana Kosecka.
Advanced Reasoning with Depth Cameras (RGB-D) in conjunction with (RSS 2014)
[paper] [talk] [poster]

Automated Analysis of Courtship Suppression Learning and Memory in Drosophila Melanogaster.
M. Reza, S. Mhatre, J. Morrison, S. Utreja, A. Saunders, D. Breen and D. Marenda.
Journal - Fly 2013 (Fly 2013)
[paper]

Video Analysis Algorithms for Automated Categorization of Fly Behaviors.
Md Alimoor Reza, Jeffrey Marker, Sidhita Mhatre, Aleister Saunders, Daniel Marenda, David Breen.
International Symposium on Visual Computing (ISVC 2012)
[paper] [video]

Teaching

Drake Computer Vision and Robotics Research Group

Current Students

BS/MS Student Alumni

Fun

Other Posters and Technical Reports

Click here to see my old posters and technical reports.