Hadi Ali Akbarpour, Ph.D.
Assistant Professor
Department of Computer Science
Courses Taught
Deep Learning, Advanced Image Processing (Computer Vision)
Education
Ph.D. in Electrical and Computer Engineering, University of Coimbra, Portugal (2012)
Research Interests
Hadi Ali Akbarpour is an Assistant Professor in the Department of Computer Science at 老司机福利网. He holds a Ph.D. in Electrical and Computer Engineering from the University of Coimbra, Portugal (2012). With a passion for interdisciplinary exploration, his research interests lie at the intersection of Artificial Intelligence and Computer Vision, specifically in the context of autonomous systems, remote sensing, and robotics. Dr. Akbarpour has contributed to a range of funded projects, assuming roles as a Principal Investigator ($1.1M), co-PI ($8M), and proposal developer and task leader in SBIR tech-transfer projects ($6M) across various government and industry funded research initiatives. His publication portfolio comprises more than 70 contributions featured in high-impact conferences, journals, and books. Moreover, he holds several pending and issued U.S. patents, reflecting his dedication to innovation. His efforts has been recognized through numerous prestigious awards, particularly in categories such as best papers, presentations, and challenges. Dr. Akbarpour co-chaired the 51st IEEE Applied Imagery Pattern Recognition and was a co-organizer of the "Analysis of Aerial Motion Imagery" Special Session at the 2022 International Conference on Image Processing (IEEE-ICIP) held in France. He was a Guest Editor for the Sensors Journal in in 2021, contributing to a special edition centered around Object Tracking and Recognition.
Publications and Media Placements
K. Gao, H. AliAkbarpour, J. Fraser, K. Nouduri, F. Bunyak, R. Massaro, G. Seetharaman,
and K. Palaniappan, "Local Feature Performance Evaluation for Structure-from-Motion
and Multi-View Stereo Using Simulated City-Scale Aerial Imagery," in IEEE Sensors
Journal, 2021.
K. Gao, H. AliAkbarpour, G. Seetharaman, and K. Palaniappan, "DCT-based Local Descriptor
for Robust Matching and Feature Tracking in Wide Area Motion Imagery", IEEE Journal
of Geoscience and Remote Sensing Letters, doi 10.1109/LGRS.2020.3000762, 2021.
R. Aktar, D. Kharismawat, K. Palaniappan, H. Aliakbarpour, F. Bunyak, A. E. Stapleton
and T. Kazic, 鈥漅obust Mosaicking of Maize Fields from Aerial Imagery鈥�, Journal of
Applications in Plant Sciences (APPS), 8(8), 2020.
H. Aliakbarpour, K. Palaniappan and G. Seetharaman, 鈥漃arallax-Tolerant Aerial Image
Georegistration and Efficient Camera Pose Refinement鈥� Without Piecewise Homographies鈥�,
IEEE Transactions on Geoscience and Remote Sensing, 55(8), 4618-4637, 2017.
H. Aliakbarpour, J.F. Ferreira, V. B. S. Prasath, K. Palaniappan, G. Seetharaman and
J Dias, 鈥滱 Probabilistic Framework for 3D Reconstruction Using Heterogeneous Sensors鈥�,
IEEE Sensors Journal,17, 9, 2640-2641, 2017.
H. Aliakbarpour, V. B. S. Prasath, K. Palaniappan, G. Seetharaman and J Dias, 鈥滺eterogeneous
Multi-View Information Fusion: Review of 3-D Reconstruction Methods and a New Registration
with Uncertainty Modeling鈥�, Journal of IEEE Access, 4, 8264-8285, 2016.
H. Aliakbarpour, K. Palaniappan and G. Seetharaman, 鈥漅obust Camera Pose Refinement
and Rapid SfM for Multi-view Aerial Imagery鈥擶ithout RANSAC鈥�, IEEE Journal of Geoscience
and Remote Sensing Letters, 12(11), 2203-2207, 2015.
H. Aliakbarpour, V. B. S. Prasath and J. Dias, 鈥漁n Optimal Multi-Sensor Network Configuration
for 3D Registration鈥�, Journal of Sensor and Actuator Networks, 4, 293-314, 2015.
H. Aliakbarpour, O. Tahri and H. Araujo, 鈥漋isual servoing of mobile robots using non-central
catadioptric cameras鈥�, Journal of Robotics and Autonomous Systems, 1613鈥�1622, 2014.
H. Aliakbarpourand J. Dias, 鈥漈hree-dimensional reconstruction based on multiple virtual
planes by using fusion-based camera network鈥�, IET Journal of Computer Vision, 6(4),
355-369, 2012.
H. Aliakbarpour, L. Almeida, P. Menezes and J. Dias, 鈥滿ulti-sensor 3D Volumetric Reconstruction
Using CUDA鈥�, Journal of 3D Research, 2, 1-14, 2011.
M. H. Korayem, K. Khoshhal, and H. Aliakbarpour, 鈥漋ision-based Simulation and Experiment
for Performance Test of Robot鈥�, Journal of Advanced Manufacturing Technology, 25(11-12),
1218-1231, 2005.
BOOK CHAPTERS
H. Aliakbarpour, K. Gao, R. Aktar, Steve Suddarth, K. Palaniappan, 鈥漇tructure from
Motion and Mosaicking for High-Throughput Field-Scale Phenotyping鈥�, High-throughput
Crop Phenotyping, Springer-Nature on Advanced Concepts and strategies in Plant Sciences,
2021.
H. Aliakbarpour, G. Seetharaman, K. Palaniappan, 鈥漇tabilization of Airborne Video
Using Sensor Exterior Orientation with Analytical Homography Modeling鈥�, Machine Vision
and Navigation; Springer, 579-595, 2020.
S. Yao, H. Yu, H. Aliakbarpour, G. Seetharaman, K. Palaniappan, 鈥滶piX: A 3D Measurement
Tool for Heritage, Archeology, and Aerial hotogrammetry鈥�, Heritage Preservation: A
Computational Approach; Springer Singapore, , 47-66, 2018.
H. Aliakbarpour, K. Khoshhal, J. Quintas, K. Mekhnacha, J. Ros, M. Andersson and J.
Dias; Editor: LuisM. Camarinha-Matos, 鈥滺MM-Based Abnormal Behavior Detection Using
Heterogeneous Sensor Network鈥�, Technological Innovation for Sustainability, IFIP Advances
in Information and Communication Technology; Springer Berlin Heidelberg, 349, 277-285,
2011.
H. Aliakbarpour, J. F. Ferreira, K. Khoshhal and J. Dias; Editors: L. Camarinha-Matos,
P. Pereira and L. Ribeiro, 鈥滱 Novel Framework for Data Registration and Data Fusion
in Presence of Multi-modal Sensors鈥�, Emerging Trends in Technological Innovation-
IFIP Advances in Information and Communication Technology; Springer Berlin Heidelberg,
314, 308-315, 2010.
K. Khoshhal, H. Aliakbarpour, J. Quintas, K. Mekhnacha, J. Ros and J. Dias; Editor:
LuisM. Camarinha-Matos, 鈥滾MA-based Human Behavior Analysis Using HMM鈥�, Technological
Innovation for Sustainability, IFIP Advances in Information and Communication Technology;
Springer Berlin Heidelberg, 349, 189-196, 2011.
M. H. Korayem, F. Heidari and H. Aliakbarpour; Editor: Low Kin Huat, 鈥漇imulation and
Experimental Tests of Robot Using Feature-Based and Position-Based Visual Servoing
Approaches鈥�, Industrial Robotics: Programming, Simulation and Applications, , 471-492,
2006.
PEER-REVIEWED CONFERENCES (Selective)
N. Al-Shakarji, Ke Gao, F. Bunyak, H. AliAkbarpour, E. Blasch, P. Narayaran, G. Seetharaman
and K. Palaniappan , 鈥� Impact of Georegistration Accuracy on Wide Area Motion Imagery
Object Detection and Tracking鈥� in International Conference on Information Fusion,
Sun City, South Africa, 2021.
K. Nouduri, K. Gao, J. Fraser, S. Yao, H. AliAkbarpour, F. Bunyak and K. Palaniappan,
鈥滵eep Realistic Novel View Generation for City-Scale Aerial Images鈥� in International
Conference on Pattern Recognition (ICPR), 2021.
S. Yao, H. AliAkbarpour, G. Seetharaman and K. Palaniappan, 鈥滳ity-Scale Point Cloud
Stitching Using 2D/3D Registration for Large Geographical Coverage鈥� in ICPR, Lecture
Notes in Computer Science, 2021.
D. E. Kharismawati, H. AliAkbarpour, R. Aktar, F. Bunyak, K. Palaniappan, T. Kazic,
"CorNet: Unsupervised Deep Homography Estimation on Agriculture Aerial Imagery",
CVPPP Workshop, 16th European Conference on Computer Vision (ECCV), 2020.
S. Yao, Y. Wang, H. AliAkbarpour, G. Seetharaman, R. Rao and K. Palaniappan, 鈥漇MVNet:
Deep Learning Architectures for Accurate and Robust Multi-View Stereopsis鈥�, EEE Applied
Imagery Pattern Recognition Workshop (AIPR), 2020.
K. Nouduri, F. Bunyak, S. Yao, H. Aliakbarpour, S. Agarwal, R. Raghuveer and K. Palaniappan,
"Deep Learning based Landmark Matching for Aerial Geolocalization", IEEE International
Conference on Image Processing (ICIP), 2020.
R. Aktar, V. H. Huxley, G. Guidoboni, H. AliAkbarpour, F. Bunyak, and K. Palaniappan,
"Mosaicing of Dynamic Mesentery Video with Gradient Blending", IEEE International
Conference on Image Processing (ICIP), 2020.
N. Al-Shakarji, F. Bunyak, H. Aliakbarpour, G. Seetharaman and K. Palaniappan, 鈥滿ulti-Cue
Vehicle Detection for Semantic Video Compression in Georegistered Aerial Videos鈥� in
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)- Workshop, Long
Beach, CA, 2019.
R. Aktar, H. Aliakbarpour, K. Palaniappan and G. Seetharaman, 鈥滸eospatial content
summarization of UAV aerial imagery using mosaicking鈥� in SPIE 10645, Geospatial Informatics,
Motion Imagery, and Network Analytics VIII, USA, 2018.
H. Aliakbarpour (shared first authorship), K. Palaniappan, M. Poostchi, R. Viguer,
J. Fraser, F. Bunyak, A. Basharat, S. Suddarth, E. Blasch and G. Seetharaman, 鈥滿oving
Object Detection for Vehicle Tracking in Wide Area Motion Imagery Using 4D Filtering鈥�
in IAPR International Conference on Pattern Recognition (ICPR), Cancun- Mexico, December,
2016.
M. Poostchi, H. Aliakbarpour, R. Viguer, F. Bunyak , K. Palaniappan and G. Seetharaman,
鈥漇emantic Depth Map Fusion for Moving Vehicle Detection in Aerial Video鈥� in IEEE Conference
on Computer Vision and Pattern Recognition (CVPR)- Workshops, Las Vegas, June, 2016.
H. Aliakbarpour, K. Palaniappan and G. Seetharaman, 鈥滷ast Structure from Motion for
Sequential and Wide Area Motion Imagery鈥� in IEEE Inter. Conf. on Computer Vision (ICCV)-
Workshops , Santiago-Chile, December, 2015.
R. Viguier, C.C. Lin, H. Aliakbarpour, F. Bunyak, S. Pankanti, G. Seetharaman and
K. Palaniappan, 鈥滱utomatic Video Content Summarization Using Geospatial Mosaics of
Aerial Imagery鈥� in IEEE Inter. Symposium on Multimedia (ISM), Miami, December, 2015.
H. Aliakbarpour, O. Tahri and H. Araujo, 鈥滻mage-based Servoing of non-Holonomic Vehicles
using non-Central Catadioptric Cameras鈥� in Proc. IEEE 9th Inter. Workshop on Robot
Motion and Control (RoMoCo), Poland, 2013 , pp. 54-59.
K. Khoshhal, L. Santos, H. Aliakbarpour and Jorge Dias, 鈥漃arameterizing interpersonal
behavior with Laban movement analysis - A Bayesian approach鈥� in IEEE Conference on
Computer Vision and Pattern Recognition (CVPR) Workshops, Providence, RI, USA, 2012.
H. Aliakbarpour, J. Quintas, P. Freitas, C. Tsiourti, and J. Dias, 鈥滿obile Robot Cooperation
with Infrastructure for Surveillance: Towards Cloud Robotics鈥� in Proc. 14th Inter.
Conf. of Computer Analysis of Images and Patterns (CAIP), Workshop on Recognition
and Action for Scene Understanding (REACTS), Spain, 2011.
H. Aliakbarpour and J. Dias, 鈥滻MU-aided 3D Reconstruction based on Multiple Virtual
Planes鈥� in Proc. of DICTA鈥�10, Inter. Conf. on Digital Image Computing: Techniques
and Applications (the Australian Pattern Recognition and Computer Vision Society Conference),
IEEE Press, Sydney, Australia, 2010.
M. Hofmann, M. Kaiser, H. Aliakbarpour and G. Rigoll, 鈥滷usion of Multi-Modal Sensors
in a Voxel Occupancy Grid for Tracking and Behavior Analysis鈥� in Proc. of Inter. Workshop
on Image Analysis for Multimedia Interactive Services (WIAMIS 2011), Delft, Netherlands,
2011.
K. K. Roudposhti, H. Aliakbarpour, J. Quintas, M. Hofmann and J. Dias, 鈥漃robabilistic
LMA-based Human Motion Analysis by Conjugating Frequency and Spatial based Features鈥�
in Proc. of Inter. Workshop on Image Analysis for Multimedia Interactive Services
(WIAMIS 2011), Delft, Netherlands, 2011.
H. Aliakbarpour, P. Nunez, J. Prado, K. K. Roudposhti and J. Dias, 鈥滱n Efficient Algorithm
for Extrinsic Calibration between a 3D Laser Range Finder and a Stereo Camera for
Surveillance鈥� in 14th Inter. Conf. on Advanced Robotics (ICAR 2009), Munich, Germany,
2009.
D. R. Faria, H. Aliakbarpour and J. Dias, 鈥滸rasping Movements Recognition in 3D Space
using a Bayesian Approach鈥� in 14th Inter. Conf. on Advanced Robotics (ICAR 2009),
Munich, Germany, 2009.
R. Menendez, J. Dias, J. Prado, H. Aliakbarpour and S. Gonzalez Andino, 鈥滿ulticlass
Brain Computer Interface Based On Visual Attention鈥� in European Symposium on Artificial
Neural Networks Advances in Computational Intelligence and Learning, Bruges, Belgium,
2009 .
PATENTS
Flexible Multi-Camera Focal Plane: A Light-Field Dynamic Homography Approach. Pending
US Patent (application no. 18/332,546), 2023.
Compressed Spatial Frequency Transform For Feature Tracking, Image Matching, Search,
And Retrieval. Pending US Patent (application no. 18/300,182), 2023.
Method for fast camera pose refinement for wide area motion imagery. US Patent, US9959625B2,
2018.