S. Alireza Golestaneh
About me
I am a Senior SWE at Google.
Formerly, I worked as a Machine Learning Researcher at Bosch Center for Artificial Intelligence (BCAI), Project Scientist and Postdoctoral Fellow at The Robotics Institute at Carnegie Mellon University with Prof. Kris Kitani. I also had a great opportunity to spend one year at Human Sensing Lab working on video object detection while I was working with Dr. Dong Huang and Prof. Fernando de la Torre.
I received my Ph.D. in Electrical Engineering from Arizona State University working with Prof. Lina Karam.
Before starting my Ph.D., I received my M.Sc. in Electrical Engineering from Oklahoma State University while working with Prof. Damon Chandler.
I also worked as an intern in Dolby Vision in Spring and Summer 2014 working under the supervision of Dr. Guan-Ming Su, at Dolby I also collaborated closely with Dr. Scott Daly.
Interests
Computer Vision, Machine Learning, and Artificial Intelligence
Selected Publications and Patents:
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation
N Behrmann*, S. A Golestaneh*, Z Kolter, J Gall, M Noroozi | (ECCV 2022)
* denotes equal contribution.
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
S. A Golestaneh, S Dadsetan, K Kitani | Winter Conference on Applications of Computer Vision (WACV) | 2022
How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation
A Umakantha, JD Semedo, S. A Golestaneh, WY Lin | (Tech Report) | 2021
[pdf]
System and Method for Augmenting Vision Transformers
A Umakantha, JD Semedo, S. A Golestaneh, WY Lin | (Patent)
Importance of Self-Consistency in Active Learning for Semantic Segmentation
S. A Golestaneh, K Kitani | The British Machine Vision Conference (BMVC) | 2020
3D Human Motion Estimation via Motion Compression and Refinement
Z. Luo, S. A. Golestaneh, K. M. Kitani | 2020 (ACCV) | 2020
No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning
S. A Golestaneh, K Kitani | (Tech Report) | 2020
[GitHub][pdf]
Synthesized Texture Quality Assessment via Multi-scale Spatial and Statistical Texture Attributes of Image and Gradient Magnitude Coefficients
S. A Golestaneh, LJ Karam | CVPRW | 2018
[GitHub][pdf] [project page]
Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes
S. A Golestaneh, LJ Karam | CVPR | 2017
[GitHub][pdf] [project page]
Reduced-Reference Quality Assessment Based on the Entropy of DWT Coefficients of Locally Weighted Gradient Magnitudes
SA Golestaneh, LJ Karam | IEEE Transactions on Image Processing (TIP) | 2016
[GitHub][pdf] [project page]
Reduced-reference synthesized-texture quality assessment based on multi-scale spatial and statistical texture attributes
SA Golestaneh, LJ Karam | IEEE International Conference on Image Processing (ICIP) | 2016
Reduced-reference quality assessment based on the entropy of DNT coefficients of locally weighted gradients
SA Golestaneh, LJ Karam | IEEE International Conference on Image Processing (ICIP) | 2015
The effect of texture granularity on texture synthesis quality
SA Golestaneh, MM Subedar, LJ Karam | SPIE Optical Engineering + Applications | 2015
[pdf] project page]
Scene-Change Detection Using Video Stream Pairs
S Golestaneh, GM Su, , GM Su | US Patent App. 14/801,633
Use of a local cone model to predict essential CSF light adaptation behavior used in the design of luminance quantization nonlinearities
S Daly, SA Golestaneh | Human Vision and Electronic Imaging | 2014
Algorithm for JPEG artifact reduction via local edge regeneration
SA Golestaneh, DM Chandler | Journal of Electronic Imaging | 2014
No-reference quality assessment of JPEG images via a quality relevance map
SA Golestaneh, DM Chandler | IEEE signal processing letters | 2013
Honors and Awards:
Nominated and Finalist for two (Sun Devil Spirit Award and Outstanding Graduate Student Leader) Pitchfork Awards 2017
Director of Wellness, Graduate and professional student association 2016-2017
Graduate Excellent Teaching Award, Arizona State University 2015-2016
University Graduate Fellowships, Arizona State University 2014-2015
Graduate Research Excellence Award, Oklahoma State University, 2014
Graduated in top 1% of my class, Oklahoma State University
Professional Activities:
Program Committee (and Top Reviewer) for Safe Learning for Autonomous Driving (SL4AD Workshop - ICML 2022)
Program Committee for Relational Reasoning in Computer Vision (ICCV 2021)
Carnegie Mellon University: MSCV Admission Committee (2020)
Reviewer: TPAMI, TIP, TMM, JEI, CVPR, ICCV, ECCV, BMVC
Assembly member of Graduate and professional student association (GPSA) 2015-2016
IEEE member 2010-Present