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 ¶¶Ņõpro. 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, ā€¯Robust Mosaicking of Maize Fields from Aerial Imageryā€¯, Journal of
Applications in Plant Sciences (APPS), 8(8), 2020.
H. Aliakbarpour, K. Palaniappan and G. Seetharaman, ā€¯Parallax-Tolerant Aerial Image
Georegistration and Efficient Camera Pose Refinementā€“ Without Piecewise Homographiesā€¯,
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, ā€¯A Probabilistic Framework for 3D Reconstruction Using Heterogeneous Sensorsā€¯,
IEEE Sensors Journal,17, 9, 2640-2641, 2017.
H. Aliakbarpour, V. B. S. Prasath, K. Palaniappan, G. Seetharaman and J Dias, ā€¯Heterogeneous
Multi-View Information Fusion: Review of 3-D Reconstruction Methods and a New Registration
with Uncertainty Modelingā€¯, Journal of IEEE Access, 4, 8264-8285, 2016.
H. Aliakbarpour, K. Palaniappan and G. Seetharaman, ā€¯Robust Camera Pose Refinement
and Rapid SfM for Multi-view Aerial Imageryā€”Without RANSACā€¯, IEEE Journal of Geoscience
and Remote Sensing Letters, 12(11), 2203-2207, 2015.
H. Aliakbarpour, V. B. S. Prasath and J. Dias, ā€¯On Optimal Multi-Sensor Network Configuration
for 3D Registrationā€¯, Journal of Sensor and Actuator Networks, 4, 293-314, 2015.
H. Aliakbarpour, O. Tahri and H. Araujo, ā€¯Visual servoing of mobile robots using non-central
catadioptric camerasā€¯, Journal of Robotics and Autonomous Systems, 1613ā€“1622, 2014.
H. Aliakbarpourand J. Dias, ā€¯Three-dimensional reconstruction based on multiple virtual
planes by using fusion-based camera networkā€¯, IET Journal of Computer Vision, 6(4),
355-369, 2012.
H. Aliakbarpour, L. Almeida, P. Menezes and J. Dias, ā€¯Multi-sensor 3D Volumetric Reconstruction
Using CUDAā€¯, Journal of 3D Research, 2, 1-14, 2011.
M. H. Korayem, K. Khoshhal, and H. Aliakbarpour, ā€¯Vision-based Simulation and Experiment
for Performance Test of Robotā€¯, Journal of Advanced Manufacturing Technology, 25(11-12),
1218-1231, 2005.
BOOK CHAPTERS
H. Aliakbarpour, K. Gao, R. Aktar, Steve Suddarth, K. Palaniappan, ā€¯Structure from
Motion and Mosaicking for High-Throughput Field-Scale Phenotypingā€¯, High-throughput
Crop Phenotyping, Springer-Nature on Advanced Concepts and strategies in Plant Sciences,
2021.
H. Aliakbarpour, G. Seetharaman, K. Palaniappan, ā€¯Stabilization of Airborne Video
Using Sensor Exterior Orientation with Analytical Homography Modelingā€¯, Machine Vision
and Navigation; Springer, 579-595, 2020.
S. Yao, H. Yu, H. Aliakbarpour, G. Seetharaman, K. Palaniappan, ā€¯EpiX: A 3D Measurement
Tool for Heritage, Archeology, and Aerial hotogrammetryā€¯, 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, ā€¯HMM-Based Abnormal Behavior Detection Using
Heterogeneous Sensor Networkā€¯, 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, ā€¯A Novel Framework for Data Registration and Data Fusion
in Presence of Multi-modal Sensorsā€¯, 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, ā€¯LMA-based Human Behavior Analysis Using HMMā€¯, 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, ā€¯Simulation and
Experimental Tests of Robot Using Feature-Based and Position-Based Visual Servoing
Approachesā€¯, 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 , ā€¯ Impact of Georegistration Accuracy on Wide Area Motion Imagery
Object Detection and Trackingā€¯ 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,
ā€¯Deep Realistic Novel View Generation for City-Scale Aerial Imagesā€¯ in International
Conference on Pattern Recognition (ICPR), 2021.
S. Yao, H. AliAkbarpour, G. Seetharaman and K. Palaniappan, ā€¯City-Scale Point Cloud
Stitching Using 2D/3D Registration for Large Geographical Coverageā€¯ 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, ā€¯SMVNet:
Deep Learning Architectures for Accurate and Robust Multi-View Stereopsisā€¯, 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, ā€¯Multi-Cue
Vehicle Detection for Semantic Video Compression in Georegistered Aerial Videosā€¯ in
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)- Workshop, Long
Beach, CA, 2019.
R. Aktar, H. Aliakbarpour, K. Palaniappan and G. Seetharaman, ā€¯Geospatial content
summarization of UAV aerial imagery using mosaickingā€¯ 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, ā€¯Moving
Object Detection for Vehicle Tracking in Wide Area Motion Imagery Using 4D Filteringā€¯
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,
ā€¯Semantic Depth Map Fusion for Moving Vehicle Detection in Aerial Videoā€¯ in IEEE Conference
on Computer Vision and Pattern Recognition (CVPR)- Workshops, Las Vegas, June, 2016.
H. Aliakbarpour, K. Palaniappan and G. Seetharaman, ā€¯Fast Structure from Motion for
Sequential and Wide Area Motion Imageryā€¯ 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, ā€¯Automatic Video Content Summarization Using Geospatial Mosaics of
Aerial Imageryā€¯ in IEEE Inter. Symposium on Multimedia (ISM), Miami, December, 2015.
H. Aliakbarpour, O. Tahri and H. Araujo, ā€¯Image-based Servoing of non-Holonomic Vehicles
using non-Central Catadioptric Camerasā€¯ 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, ā€¯Parameterizing interpersonal
behavior with Laban movement analysis - A Bayesian approachā€¯ 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, ā€¯Mobile Robot Cooperation
with Infrastructure for Surveillance: Towards Cloud Roboticsā€¯ 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, ā€¯IMU-aided 3D Reconstruction based on Multiple Virtual
Planesā€¯ in Proc. of DICTAā€™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, ā€¯Fusion of Multi-Modal Sensors
in a Voxel Occupancy Grid for Tracking and Behavior Analysisā€¯ 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, ā€¯Probabilistic
LMA-based Human Motion Analysis by Conjugating Frequency and Spatial based Featuresā€¯
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, ā€¯An Efficient Algorithm
for Extrinsic Calibration between a 3D Laser Range Finder and a Stereo Camera for
Surveillanceā€¯ in 14th Inter. Conf. on Advanced Robotics (ICAR 2009), Munich, Germany,
2009.
D. R. Faria, H. Aliakbarpour and J. Dias, ā€¯Grasping Movements Recognition in 3D Space
using a Bayesian Approachā€¯ in 14th Inter. Conf. on Advanced Robotics (ICAR 2009),
Munich, Germany, 2009.
R. Menendez, J. Dias, J. Prado, H. Aliakbarpour and S. Gonzalez Andino, ā€¯Multiclass
Brain Computer Interface Based On Visual Attentionā€¯ 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.