Reynold Bailey Headshot

Reynold Bailey

Professor

Department of Computer Science
Golisano College of Computing and Information Sciences

585-475-6181
Office Hours
https://www.cs.rit.edu/~rjb/schedule.html
Office Location
Office Mailing Address
70-3669

Reynold Bailey

Professor

Department of Computer Science
Golisano College of Computing and Information Sciences

Education

BS in Mathematics and Computer Science, Midwestern State University; MS, Ph.D. in Computer Science, Washington University in St. Louis

Bio

Dr. Reynold Bailey is a Professor in the Department of Computer Science at Rochester Institute of Technology. He received his Masters and Ph.D. from Washington University in St. Louis. His research interests lie in the field of applied visual perception in computer graphics and multimodal human sensing.

585-475-6181

Personal Links
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Published Conference Proceedings
Nwogu, Ifeoma, Bryan Passino, and Reynold Bailey. "A Study on the Suppression of Amusement." Proceedings of the IEEE Conference on Automatic Face and Gesture Recognition, May 15-19, 2018, Xi\'an, China. Ed. Sidney D’Mello, Louis‐Philippe Morency, Michel Valstar, and Lijun Yin. Xi’an, China: n.p., Web.
Haduong, Nikita, et al. "Multimodal Alignment for Affective Content." Proceedings of the AAAI Conference on Artificial Intelligence - Workshop on Affective Content Analysis (AffCon 2018),. Ed. Niyati Chhaya, Kokil Jaidka, Lyle Ungar, and P. Anandan. New Orleans, Louisiana: n.p., Web.
Medina, Rebecca, et al. "Sensing Behaviors of Students in Online vs. Face to Face Lecturing Contexts." Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom) - Workshop on Human-centered Computational Sensing (HCCS 2018), March 2018, Athens, Greece. Ed. Alan Marchiori and Damith C. Ranasinghe. Athens, Greece: IEEE, Web.
Diaz, Yancarlos, et al. "Towards an Affective Video Recommendation System." Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom) - Workshop on Human-centered Computational Sensing (HCCS 2018), March 2018, Athens, Greece. Ed. Alan Marchiori and Damith C. Ranasinghe. Athens, Greece: IEEE, Web.
Shea, Jordan, Cecilia Ovesdotter Alm, and Reynold Bailey. "Contemporary Multimodal Data Collection Methodology for Reliable Inference of Authentic Surprise." Proceedings of the 2018 IEEE Western New York Image and Signal Processing Workshop,. Ed. IEEE. Rochester, New York: IEEE, Web.
Alm, Cecilia Ovesdotter and Reynold Bailey. "Team-based, Transdisciplinary, and Inclusive Practices for Undergraduate Research." Proceedings of the IEEE Frontiers in Education Conference (FIE), Indianapolis, IN, 2017. Ed. Jeffrey Froyd. Indianapolis, IN: IEEE, 2017. Web.
Edwards, Ashley A., et al. "Sensor-based Methodological Observations for Studying Online Learning." Proceedings of the ACM Workshop on Intelligent Interfaces for Ubiquitous and Smart Learning (SmartLearn 2017), Limassol, Cyprus. Ed. Fang Chen, Carlos Duarte, and Wai-Tat Fu. New York, NY: ACM, 2017. Web.
Gangji, Aliya, et al. "Using Co­captured Face, Gaze and Verbal Reactions to Images of Varying Emotional Content for Analysis and Semantic Alignment." Proceedings of the AAAI Conference on Artificial Intelligence - Workshop on Human­Aware Artificial Intelligence (HAAI 2017). Ed. Kartik Talamadupula, Shirin Sohrabi, Biplav Srivastava, and Loizos Michael. Palo Alto, CA: AAAI, 2017. Web.
Bennett, Justin, et al. "Looking at Faces: Autonomous Perspective Invariant Facial Gaze Analysis." Proceedings of the ACM SIGGRAPH Symposium on Applied Perception, July 2016, Anaheim CA. Ed. Reynold Bailey and Laura Trutoiu. New York, NY: ACM, Web.
Pieszala, James, et al. "3D Gaze point Localization and Visualization Using LiDAR-based 3D Reconstructions." Proceedings of the ACM Symposium on Eye Tracking Research and Applications, March 2016, Charleston SC. Ed. Roman Bednarik and Frederick Shic. New York, NY: ACM, Web.
Sridharan, Srinivas, et al. "Gaze Guidance for Improved Password Recollection." Proceedings of the ACM Symposium on Eye Tracking Research and Applications, March 2016, Charleston SC. Ed. Roman Bednarik and Frederick Shic. New York, NY: ACM, Web.
Kothari, Rakshit, et al. "Novel Apparatus for Investigation of Eye Movements When Walking in the Presence of 3D Projected Obstacles." Proceedings of the ACM Symposium on Eye Tracking Research and Applications, March 2016, Charleston SC. Ed. Roman Bednarik and Frederic Shic. New York, NY: ACM, Web.
Sridharan, Srinivas and Bailey, Reynold. "Automatic Target Prediction and Subtle Gaze Guidance for Improved Spatial Information Recall." Proceedings of the 12th ACM SIGGRAPH Symposium on Applied Perception, Tí¼bingen, Germany, September 2015. Ed. Stephen Spencer (ACM). New York, NY: ACM, Web.
Bethamcherla, Vasudev, et al. "Face-speech Sensor Fusion for Non-invasive Stress Detection." Proceedings of the 1st Joint Conference on Facial Analysis, Animation and Audio-Visual Speech Processing, September 2015, Vienna Austria. Ed. Auditory-VIsual Speech Association. Vienna, Austria: n.p., Web.
Paul, Will, et al. "Stressed Out: What Speech Tells Us About Stress." Proceedings of the Interspeech, September 2015, Dresden Germany. Ed. Sebastian Mí¶ller, Hermann Ney, Bernd Mí¶bius, Elmar Ní¶th, Stefan Steidl. Dresden, Germany: n.p., Web.
Peer Reviewed/Juried Poster Presentation or Conference Paper
Kothari, Rakshit, et al. "Gaze in Wild: A Dataset for Studying Vestibular-Ocular Coordination in Naturalistic Tasks." Proceedings of the 2018 IEEE Western New York Image and Signal Processing Workshop, October 2018, Rochester. Ed. IEEE. Rochester, New York: IEEE.
Diaz, Gabriel, et al. "Data-driven Gaze Event Classification for the Analysis of Eye and Head Coordination By Natural Task." Proceedings of the European Conference on Eye Movements, (ECEM 2017), Germany. Ed. Heiner Deubel, Ulrich Ettinger, Stefan Everling, Susanna Martinez-Conde, and Antje Nuthmann. Wuppertal, Germany: EMRA.
Kothari, Rakshit, et al. "Gaze-in-World Movement Classification for Unconstrained Head Motion During Natural Tasks." Proceedings of the Vision Sciences Society Annual Meeting. Ed. Preeti Verghese. Novato, CA: Journal of Vision.
Kothari, Rakshit, et al. "The Influence of Biomechanics on Visual Attention while Walking." Proceedings of the Vision Sciences Society Annual Meeting, May 2016, St. Pete Beach, FL. Ed. Dennis Levi. Novato, CA: VSS.
Simon, Daniel, et al. "Automatic Scanpath Generation with Deep Recurrent Neural Networks." Proceedings of the ACM SIGGRAPH Symposium on Applied Perception, July 2016, Anaheim CA. Ed. Reynold Bailey and Laura Trutoiu. New York, NY: ACM.
Sridharan, Srinivas and Reynold Bailey. "Saliency and Optical Flow for Gaze Guidance in Videos." Proceedings of the ACM SIGGRAPH Symposium on Applied Perception, July 2016, Anaheim CA. Ed. Reynold Bailey and Laura Trutoiu. New York, NY: ACM.
Formal Presentation
Bailey, Reynold. “Subtle Gaze Direction.” SIGGRAPH 2010 The 37th International Conference and Exhibition on Computer Graphics andInteractive Techniques. Los Angeles, CA. 29 July 2010. Presentation.

Currently Teaching

CSCI-488
0 Credits
Students perform professional work related to Computer Science for which they are paid. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. When registered for co-op, students are considered by RIT to have full-time status. In order to register for co-op for either fall or spring semester, we expect that students will work a minimum of 14 weeks and work a minimum of 35 hours per week.
CSCI-510
3 Credits
Introduction to Computer Graphics is a study of the hardware and software principles of interactive raster graphics. Topics include an introduction to the basic concepts, 2-D and 3-D modeling and transformations, viewing transformations, projections, rendering techniques, graphical software packages and graphics systems. The course will focus on rasterization techniques and emphasize the hardware rasterization pipeline including the use of hardware shaders. Students will use a standard computer graphics API to reinforce concepts and study fundamental computer graphics algorithms. Programming projects will be required.
CSCI-589
3 Credits
Students work with a supervising faculty member to complete their undergraduate thesis proposal, and do additional background preparation (e.g., programming, study, exercises, and analysis) for the subject area and specific problem(s) to be addressed in a thesis. At the end of the semester, a thesis proposal must be submitted for approval to the advisor. Additional deliverables set by the advisor are also required (e.g., source code, bibliographies, notes, presentations, etc.).
CSCI-590
3 Credits
Thesis capstone of the Bachelor’s Degree Program. The thesis document identifies a central hypothesis or key problem(s), provides a critical review of related work, and reports methods, results, and conclusions from the associated research.
CSCI-599
1 - 3 Credits
Students work with a supervising faculty member on topics of mutual interest. A student works with a potential faculty sponsor to draft a proposal that describes what a student plans to do, what deliverables are expected, how the student's work will be evaluated, and how much credit will be assigned for successful completion of the work. The faculty sponsor proposes the grade, but before the grade is officially recorded, the student must submit a final report that summarizes what was actually accomplished.
CSCI-610
3 Credits
Foundations of Computer Graphics is a study of the hardware and software principles of interactive raster graphics. Topics include an introduction to the basic concepts, 2-D and 3-D modeling and transformations, viewing transformations, projections, rendering techniques, graphical software packages and graphics systems. The course will focus on rasterization techniques and emphasize the hardware rasterization pipeline including the use of hardware shaders. Students will use a standard computer graphics API to reinforce concepts and study fundamental computer graphics algorithms. Programming projects and a survey of the current graphics literature will be required. Note: students who complete CSCI-510 may not take CSCI-610 for credit.
CSCI-716
3 Credits
Computational Geometry is a subfield of algorithm theory that involves the design and analysis of efficient algorithms for problems involving geometric input and output. In this course the focus will be largely on problems in 2-dimensional space (lines, line segments, polygons, planes, polyhedral, curved objects, etc.) with occasional inclusion of higher dimensional problems. There are many fields of computer science that deal with solving problems of a geometric nature. These include computer graphics, computer vision and image processing, robotics, computer-aided design and manufacturing, computational fluid-dynamics, and geographic information systems, to name a few. One of the goals of this computational geometry course is to provide the basic geometric tools necessary to solve problems in these fields. Note: Programming projects are required.

In the News

  • November 25, 2024

    The blue and yellow flag of Sweden appears in a blue sky.

    International research experience in Sweden seeks to develop the AI-enhanced workplace

    A new National Science Foundation grant will allow 18 RIT students to travel to Sweden and conduct artificial intelligence (AI) research that enhances the industrial workplace. The students will take part in a program of AI research, professional development, and mentorship, which includes eight weeks at University West, near Gothenburg, Sweden.

  • January 31, 2022

    student wearing sensors on her head adjusts a robotic arm.

    AI research collaboration begins

    Cecilia Alm, an associate professor in RIT’s College of Liberal Arts, was awarded nearly $2 million by the National Science Foundation to lead a team of RIT faculty addressing a lack of diversity in the artificial intelligence research community and gaps in AI curricula.