Hadi Ali Akbarpour, Ph.D.
Department of Computer Science
Deep Learning, Advanced Image Processing (Computer Vision)
Ph.D. in Electrical and Computer Engineering, University of Coimbra, Portugal (2012)
Hadi Ali Akbarpour is an Assistant Professor in the Department of Computer Science at Saint Louis University. 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
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, ”Robust Mosaicking of Maize Fields from Aerial Imagery”, Journal of Applications in Plant Sciences (APPS), 8(8), 2020.
H. Aliakbarpour, K. Palaniappan and G. Seetharaman, ”Parallax-Tolerant Aerial Image Georegistration and Efficient Camera Pose Refinement– Without Piecewise Homographies”, 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, ”A Probabilistic Framework for 3D Reconstruction Using Heterogeneous Sensors”, IEEE Sensors Journal,17, 9, 2640-2641, 2017.
H. Aliakbarpour, V. B. S. Prasath, K. Palaniappan, G. Seetharaman and J Dias, ”Heterogeneous Multi-View Information Fusion: Review of 3-D Reconstruction Methods and a New Registration with Uncertainty Modeling”, Journal of IEEE Access, 4, 8264-8285, 2016.
H. Aliakbarpour, K. Palaniappan and G. Seetharaman, ”Robust Camera Pose Refinement and Rapid SfM for Multi-view Aerial Imagery—Without RANSAC”, IEEE Journal of Geoscience and Remote Sensing Letters, 12(11), 2203-2207, 2015.
H. Aliakbarpour, V. B. S. Prasath and J. Dias, ”On Optimal Multi-Sensor Network Configuration for 3D Registration”, Journal of Sensor and Actuator Networks, 4, 293-314, 2015.
H. Aliakbarpour, O. Tahri and H. Araujo, ”Visual servoing of mobile robots using non-central catadioptric cameras”, Journal of Robotics and Autonomous Systems, 1613–1622, 2014.
H. Aliakbarpourand J. Dias, ”Three-dimensional reconstruction based on multiple virtual planes by using fusion-based camera network”, IET Journal of Computer Vision, 6(4), 355-369, 2012.
H. Aliakbarpour, L. Almeida, P. Menezes and J. Dias, ”Multi-sensor 3D Volumetric Reconstruction Using CUDA”, Journal of 3D Research, 2, 1-14, 2011.
M. H. Korayem, K. Khoshhal, and H. Aliakbarpour, ”Vision-based Simulation and Experiment for Performance Test of Robot”, Journal of Advanced Manufacturing Technology, 25(11-12), 1218-1231, 2005.
H. Aliakbarpour, K. Gao, R. Aktar, Steve Suddarth, K. Palaniappan, ”Structure from Motion and Mosaicking for High-Throughput Field-Scale Phenotyping”, High-throughput Crop Phenotyping, Springer-Nature on Advanced Concepts and strategies in Plant Sciences, 2021.
H. Aliakbarpour, G. Seetharaman, K. Palaniappan, ”Stabilization of Airborne Video Using Sensor Exterior Orientation with Analytical Homography Modeling”, Machine Vision and Navigation; Springer, 579-595, 2020.
S. Yao, H. Yu, H. Aliakbarpour, G. Seetharaman, K. Palaniappan, ”EpiX: A 3D Measurement Tool for Heritage, Archeology, and Aerial hotogrammetry”, 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, ”HMM-Based Abnormal Behavior Detection Using Heterogeneous Sensor Network”, 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, ”A Novel Framework for Data Registration and Data Fusion in Presence of Multi-modal Sensors”, 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, ”LMA-based Human Behavior Analysis Using HMM”, 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, ”Simulation and Experimental Tests of Robot Using Feature-Based and Position-Based Visual Servoing Approaches”, 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 , ” Impact of Georegistration Accuracy on Wide Area Motion Imagery Object Detection and Tracking” 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, ”Deep Realistic Novel View Generation for City-Scale Aerial Images” in International Conference on Pattern Recognition (ICPR), 2021.
S. Yao, H. AliAkbarpour, G. Seetharaman and K. Palaniappan, ”City-Scale Point Cloud Stitching Using 2D/3D Registration for Large Geographical Coverage” 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, ”SMVNet: Deep Learning Architectures for Accurate and Robust Multi-View Stereopsis”, 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, ”Multi-Cue Vehicle Detection for Semantic Video Compression in Georegistered Aerial Videos” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR)- Workshop, Long Beach, CA, 2019.
R. Aktar, H. Aliakbarpour, K. Palaniappan and G. Seetharaman, ”Geospatial content summarization of UAV aerial imagery using mosaicking” 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, ”Moving Object Detection for Vehicle Tracking in Wide Area Motion Imagery Using 4D Filtering” 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, ”Semantic Depth Map Fusion for Moving Vehicle Detection in Aerial Video” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR)- Workshops, Las Vegas, June, 2016.
H. Aliakbarpour, K. Palaniappan and G. Seetharaman, ”Fast Structure from Motion for Sequential and Wide Area Motion Imagery” 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, ”Automatic Video Content Summarization Using Geospatial Mosaics of Aerial Imagery” in IEEE Inter. Symposium on Multimedia (ISM), Miami, December, 2015.
H. Aliakbarpour, O. Tahri and H. Araujo, ”Image-based Servoing of non-Holonomic Vehicles using non-Central Catadioptric Cameras” 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, ”Parameterizing interpersonal behavior with Laban movement analysis - A Bayesian approach” 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, ”Mobile Robot Cooperation with Infrastructure for Surveillance: Towards Cloud Robotics” 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, ”IMU-aided 3D Reconstruction based on Multiple Virtual Planes” in Proc. of DICTA’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, ”Fusion of Multi-Modal Sensors in a Voxel Occupancy Grid for Tracking and Behavior Analysis” 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, ”Probabilistic LMA-based Human Motion Analysis by Conjugating Frequency and Spatial based Features” 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, ”An Efficient Algorithm for Extrinsic Calibration between a 3D Laser Range Finder and a Stereo Camera for Surveillance” in 14th Inter. Conf. on Advanced Robotics (ICAR 2009), Munich, Germany, 2009.
D. R. Faria, H. Aliakbarpour and J. Dias, ”Grasping Movements Recognition in 3D Space using a Bayesian Approach” in 14th Inter. Conf. on Advanced Robotics (ICAR 2009), Munich, Germany, 2009.
R. Menendez, J. Dias, J. Prado, H. Aliakbarpour and S. Gonzalez Andino, ”Multiclass Brain Computer Interface Based On Visual Attention” in European Symposium on Artificial Neural Networks Advances in Computational Intelligence and Learning, Bruges, Belgium, 2009 .
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.