Publications

[2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999 | 1998 | 1997 | 1996 | 1995 | 1994 ]

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2024

  • Zixiang Zhou, Dongqiangzi Ye, Weijia Chen, Yufei Xie, Yu Wang, Panqu Wang, Hassan Foroosh, LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception, International Conference on Robotics and Automation (ICRA), 2024.
  • Dongqiangzi Ye, Yufei Xie, Weijia Chen, Zixiang Zhou, Lingting Ge, Hassan Foroosh, LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network, International Conference on Robotics and Automation (ICRA), 2024.

2023

  • Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu, Analyzing Influential Factors in Human Preference Judgments via GPT-4, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.
  • Yebowen Hu, Tim Ganter, Hanieh Deilamsalehy, Franck Dernoncourt, Hassan Foroosh and Fei Liu, MeetingBank: A Benchmark Dataset for Meeting Summarization, Proceedings of the Association for Computational Linguistics (ACL), 2023.
  • Zixiang Zhou, xiangchen zhao, Yu Wang, Panqu Wang, Hassan Foroosh, LidarMultiNet: Towards a Unified Multi-task Network for LiDAR Perception, Proc. of the Thirty-Seventh AAAI Conference on Artificial Intelligence, (Oral Presentation), 2023.
  • Ankit Sharma, Hassan Foroosh, Channel Regeneration for Compact DNNs, Proc. of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023.
  • Muhammad Hasan Maqbool, Adib Mosharrof, Umar Farooq, A.B. Siddique and Hassan Foroosh, MobileRec: A Large Scale Dataset for Mobile Apps Recommendation, ACM SIGIR, 2023.
  • Alam Abbas, Hassan Foroosh, Robust Registration and Learning using Multi-radii Spherical Polar Fourier Transform, Elsevier Journal of Signal Processing, 2023.
  • M.H. Maqbool, A.B. Siddique and Hassan Foroosh, Model-Agnostic Zero-Shot Intent Detection via Contrastive Transfer Learning, International Journal of Semantic Computing, 2023.

2022

  • Zixiang Zhou, xiangchen zhao, Yu Wang, Panqu Wang, Hassan Foroosh, CenterFormer: Center-based Transformer for 3D Object Detection, Proc. of European Conference on Computer Vision (ECCV), (Oral Presentation), 2022.
  • A.B. Siddique, M.H. Maqbool, K. Taywade, H. Foroosh, Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function, ACM International Conference on Information and Knowledge Management (CIKM), 2022.
  • Hua Zhang, Liqiang Xiao, Xiaochun Cao, and Hassan Foroosh, Multiple Adverse Weather Conditions Adaptation for Object Recognition via Causal Intervention, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2022.
  • Sumit Laha, Hassan Foroosh, Haar Wavelet Based Attention Network for Image Dehazing, Proceedings of the IEEE International Conference on Image Processing (ICIP), 2022.
  • Ankit Sharma, Hassan Foroosh, RAPID: A Single Stage Pruning Framework, Proceedings of the IEEE International Conference on Image Processing (ICIP), 2022.
  • Muhammad H. Maqbool, Luxun Xu, A.B. Siddique, Niloofar Montazeri, Hassan Foroosh and Vagelis Hristidis, Zero-label Anaphora Resolution for Off-Script User Queries in Goal-Oriented Dialog Systems, Proc. Of IEEE International Conference on Semantic Computing (ICSC), 2022.

2021

  • Zixiang Zhou, Yang Zhang, and Hassan Foroosh, Panoptic PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  • Sangwoo Cho, Franck Dernoncourt, Tim Ganter, Trung Bui, Nedim Lipka, Walter Chang, Hailin Jin, Jonathan Brandt, Hassan Foroosh and Fei Liu, StreamHover: A Framework for Annotating and Summarizing Livestream Transcripts, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
  • Amir Emad Marvasti, Ehsan Emad Marvasti, Ulas Bagci, Hassan Foroosh, Maximum Probability Theorem: A Framework for Probabilistic Machine Learning, IEEE Transaction on Artificial Intelligence (TAI), doi: 10.1109/TAI.2021.3086046, 2021.
  • Amir Rouhollahi, Olusegun Ilegbusi, Hassan Foroosh, Segmentation and Pore Structure Estimation in SEM Images of Tissue Engineering Scaffolds Using Genetic Algorithm, Annals of Biomedical Engineering, Biomedical Engineering Society, Vol. 49, pages 1033–1045, Springer, 2021.
  • Vildan Atalay Aydin, Hassan Foroosh, Wavelet-Based Super Resolution of Downsampling-Based Compressed Video, International Journal of Wavelets, Multiresolution and Information Processing, World Scientific Publishing Company, doi: 10.1142/S0219691321500259, 2021.

2020

  • Yang Zhang, Zixiang Zhou, Philip David, Xiangyu Yue, Zerong Xi, Boqing Gong, Hassan Foroosh, PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  • Marjaneh Safaei, Pooyan Balouchian, and Hassan Foroosh, UCF-STAR: A Large-Scale Still Image Dataset for Understanding Human Actions, 34th AAAI Conference on Artificial Intelligence, 2020.
  • Ankit Sharma, Hassan Foroosh, Slim-CNN: A Light-Weight CNN for Face Attribute Prediction, Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020.
  • Min Wang, Baoyuan Liu, Hassan Foroosh, Wide Hidden Expansion Layer for Deep Convolutional Neural Networks, Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.
  • Sangwoo Cho, Muhammad H. Maqbool, Fei Liu, Hassan Foroosh, Self-Attention Network for Skeleton-based Human Action Recognition, Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.
  • Kristian Damkjer, Hassan Foroosh, Lattice-Constrained Stratified Sampling for Point Cloud Levels of Detail, IEEE Transactions on Geoscience and Remote Sensing, 2020.
  • Adeel Bhutta, Imran Junejo, Hassan Foroosh, Selective Subtraction for Handheld Cameras, IEEE Access, 2020.
  • Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu, Better Highlighting: Creating Sub-Sentence Summary Highlights, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
  • Sina Lotfian, Hassan Foroosh, Multi-Scale Keypoint Matching, Proceedings of IAPR International Conference on Pattern Recognition (ICPR), 2020.
  • Shengnan Hu, Yang Zhang, Sumit Laha, Ankit Sharma, Hassan Foroosh, CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection, Proceedings of IAPR International Conference on Pattern Recognition (ICPR), 2020.
  • Sumit Laha, Ankit Sharma, Shengnan Hu, Hassan Foroosh, Fusion-Based Depth-Independent Image Dehazing Using Haar Wavelets, Proceedings of International Conference on Pattern Recognition (ICPR), 2020.
  • Sarah Braeger, Hassan Foroosh, Improving Image Matching with Varied Illumination, Proceedings of International Conference on Pattern Recognition (ICPR), 2020.
  • Amir Rouhollahi, Olusegun Ilegbusi, Hassan Foroosh, Segmentation and Pore Structure Estimation in SEM Images of Tissue Engineering Scaffolds Using Genetic Algorithm, Annals of Biomedical Engineering, Biomedical Engineering Society, Springer, 2020.
  • Amir Rouhollahi, Olusegun Ilegbusi, Stephen Florczyk, Kailei Xu, Hassan Foroosh, Effect of Mold Geometry on Pore Size in Freeze-Cast Chitosan-Alginate Scaffolds for Tissue Engineering, Annals of Biomedical Engineering, Biomedical Engineering Society, volume 48, pages1090–1102, Springer, 2020.
  • R. W. Eastes, W. E. McClintock, A. G. Burns, D. N. Anderson, L. Andersson, S. Aryal, S. A. Budzien, X. Cai, M. V. Codrescu, J. T. Correira, R. E. Daniell, K. F. Dymond, S. L. England, F. G. Eparvier, J. S. Evans, H. Foroosh, Q. Gan, K. R. Greer, D. K. Karan, A. Krywonos, F. I. Laskar, J. D. Lumpe, C. R. Martinis, J. B. McPhate, J. Oberheide, O. H. Siegmund, S. C. Solomon, V. Veibel, T. N. Woods, Initial Observations by the Global-scale Observations of the Limb and Disk (GOLD) mission, Journal of Geophysics Research, Space Physics, Wiley, doi:10.1029/2020JA027823, 2020.

2019

  • Hua Zhang, Peng She, Yong Liu, Xiaochun Cao, Hassan Foroosh, Learning Structural Representations via Dynamic Object Landmarks Discovery for Sketch Recognition and Retrieval, IEEE Transactions on Image Processing, 2019.
  • Yang Zhang, Philip David, Boqing Gong, Hassan Foroosh, A Curriculum Domain Adaptation Approach to Semantic Segmentation of Urban Scenes, IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), 2019.
  • Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh, ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  • Yang Zhang, Hassan Foroosh, Philip David, Boqing Gong, CAMOU: Learning A Vehicle Camouflage for Physical Adversarial Attacks on Object Detectors in the Wild, CVPR Workshop on Adversarial Machine Learning in Real-World Computer Vision Systems, AdvMLCV, 2019.
  • Sangwoo Cho, Fei Liu, Hassan Foroosh, Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization, Proceedings of the Association for Computational Linguistics (ACL), 2019.
  • Yang Zhang, Boqing Gong, Philip David, Hassan Foroosh, CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild, The International Conference on Learning Representations (ICLR), 2019.
  • Pooyan Balouchian, Marjaneh Safaei, Xiaochun Cao, Hassan Foroosh, Unsupervised Ranking of Continuous Emotions in Images, Proceedings of the British Machine Vision Conference (BMVC), 2019.
  • Marjaneh Safaei and Hassan Foroosh, Still Image Action Recognition by Predicting Spatial-Temporal Pixel Evolution, IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.
  • Pooyan Balouchian, Marjaneh Safaei, and Hassan Foroosh, LUCFER: A Large-Scale Context-Sensitive Image Dataset for Deep Learning of Visual Emotions, IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.

2018

  • Maryam Jaberi, Marianna Pensky, and Hassan Foroosh, Sparse One-Grab Sampling with Probabilistic Guarantees, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2018.
  • Amara Tariq and Hassan Foroosh, Designing a Symmetric Classifier for Image Annotation using Multi-Layer Sparse Coding, Image and Vision Computing (IVC), vol. 60, pp. 33-43, 2018.
  • Marjaneh Safaei, Pooyan Balouchian, and Hassan Foroosh, TICNN: A Hierarchical Deep Learning Framework for Still Image Action Recognition Using Temporal Image Prediction, IEEE International Conference on Image Processing (ICIP), Best Paper Award, 2018.
  • Marjaneh Safaei and Hassan Foroosh, A Zero-Shot Architecture for Action Recognition in Single Images, IEEE International Conference on Image Processing (ICIP), 2018.
  • Pooyan Balouchian and Hassan Foroosh, Context-Sensitive Single-Modality Image Emotion Analysis: A Unified Architecture from Dataset Construction to CNN Classification, IEEE International Conference on Image Processing (ICIP), 2018.
  • Sarah Braeger and Hassan Foroosh, Curvature Augmented Deep Learning for 3D Object Recognition, IEEE International Conference on Image Processing (ICIP), 2018.
  • Ankit Sharma, Pooyan Balouchian, Hassan Foroosh, A Novel Multi-Purpose Deep Architecture for Facial Attribute and Emotion Understanding, 23rd Iberoamerican Conference on Pattern Recognition (CIARP), Madrid, Spain, 2018.
  • Sangwoo Cho and Hassan Foroosh, Spatial-Temporal Fusion Networks for Action Recognition, Asian Conference on Computer Vision (ACCV), 2018.
  • Maryam Jaberi, Marianna Penskey, Hassan Foroosh, Probabilistic Sparse Subspace Clustering, Proc. IAPR International Conference on Pattern Recognition (ICPR), 2018.
  • Sangwoo Cho, Hassan Foroosh, A Temporal Sequence Learning for Action Recognition and Prediction, IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 352-361, 2018.
  • Min Wang, Baoyuan Liu, Hassan Foroosh, Lookup Table Unit Activation Function for Deep Convolutional Neural Networks, IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1225-1233, 2018.
  • Brian Millikan, Qiyu Sun, and Hassan Foroosh, Deep Convolutional Neural Networks with Integrated Quadratic Correlation Filters for Automatic Target Recognition, 14th IEEE/CVPR Workshop on Perception Beyond the Visible Spectrum, 2018.
  • Amir E. Marvasti, Ehsan E. Marvasti, Hassan Foroosh, Exploiting Symmetries of Distributions in CNNs and Folded Coding, 15th Conference on Computer and Robot Vision (CRV), 2018.

2017

  • Amara Tariq and Hassan Foroosh, Designing a Symmetric Classifier for Image Annotation using Multi-Layer Sparse Coding, Image and Vision Computing (IVC), accepted, 2017.
  • Min Wang, Baoyuan Liu, and Hassan Foroosh, Factorized Convolutional Neural Networks, ICCV Workshop on Matrix and Tensor Factorization Methods, pp. 545-553, 2017.
  • Vildan Atalay and Hassan Foroosh, A Linear Well-Posed Solution to Recover High-Frequency Information for Super Resolution Image Reconstruction, Multidimensional Systems and Signal Processing, Springer, 2017.
  • Vildan Atalay and Hassan Foroosh, In-band Sub-Pixel Registration of Wavelet-Encoded Images from Sparse Coefficients, Springer Journal of Signal, Image and Video Processing, 2017.
  • Dustin Morely and Hassan Foroosh, Improving RANSAC-Based Segmentation Through CNN Encapsulation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
  • Sina Lotfian and Hassan Foroosh, View-Invariant Object Recognition Using Homography Constraints, IEEE International Conference on Image Processing (ICIP), 2017.
  • Vildan Atalay and Hassan Foroosh, Motion Compensation using Critically Sampled DWT Subbands for Low-Bitrate Video Coding, IEEE International Conference on Image Processing (ICIP), 2017.
  • Brian Milikan, Aritra Dutta, Qiyu Sun and Hassan Foroosh, Compressed Infrared Target Detection Using Stochastically Trained Least Squares, IEEE Transactions on Aerospace and Electronics Systems, accepted, 2017.
  • Amara Tariq, Asim Karim, and Hassan Foroosh, NELasso: Building Named Entity Relationship Networks using Sparse Structured Learning, IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), 2017.
  • Amara Tariq and Hassan Foroosh, A Context-driven Extractive Framework for Generating Realistic Image Descriptions, IEEE Transactions on Image Processing, vol. 26, issue 2, pp. 619-632, 2017.
  • Alam Abbas, Qiyu Sun and Hassan Foroosh, An Exact and Fast Computation of Discrete Fourier Transform for Polar and Spherical Grid, IEEE Transactions on Signal Processing, vol 65, issue 8, pp. 2033-2048, 2017.

2016

  • Alam Abbas, Qiyu Sun, Hassan Foroosh, Frequency Estimation of Sinusoids from Nonuniform Samples, EURASIP Journal of Signal Processing, vol. 129, Pages 67–81, 2016.
  • Dustin Morley and Hassan Foroosh, Computing Cyclotorsion in Refractive Cataract Surgery, IEEE Transactions on Biomedical Engineering, vol. 63, issue 10, pp. 2155-2168, 2016.
  • Muhamad Ali, Hassan Foroosh, Character Recognition in Natural Scene Images using Rank-1 Tensor Decomposition, Proc. IEEE International Conference on Image Processing (ICIP), 2016.
  • Muhamad Ali, Hassan Foroosh, A Holistic Method to Recognize Characters in Natural Scenes, Proc. International Conference on Computer Vision Theory and Applications, 2016.

2015

  • Maryam Jaberi, Marianna Penskey, Hassan Foroosh, SWIFT: Sparse Withdrawal of Inliers in a First Trial, Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  • Baoyuan Liu, Min Wang, Hassan Foroosh, Marianna Penskey, Marshall Tappen, Sparse Convolutional Neural Networks, Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  • Amara Tariq, Hassan Foroosh, Feature-Independent Context Estimation for Automatic Image Annotation, Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  • Amara Tariq and Hassan Foroosh, T-Clustering: Image Clustering by Tensor Decomposition, Proc. of IEEE International Conference on Image Processing (ICIP), 2015.
  • Nazim Ashraf and Hassan Foroosh, Motion Retrieval Using Consistency of Epipolar Geometry, Proc. of IEEE International Conference on Image Processing (ICIP), 2015.
  • Muhamad Ali, Hassan Foroosh, Natural Scene Character Recognition without Dependency on Specific Features, Proc. International Conference on Computer Vision Theory and Applications, 2015.
  • Changqing Zhang, Xiaochun Cao, Hassan Foroosh, Video Face Clustering via Constrained Sparse Representation and Multi-view Spectral Clustering, IEEE Trans. on Image Processing, accepted, accepted, 2015.
  • Chuan Sun, Imran Junejo, Marshall Tappen, Hassan Foroosh, Exploring Sparseness and Self-Similarity for Action Recognition, IEEE Trans. on Image Processing, accepted, 2015.
  • Xiaochun Cao, Wenqi Ren, Wangmeng Zuo, Xiaojie Guo, Hassan Foroosh, Scene Text Deblurring Using Text-specific Multi-scale Dictionaries, IEEE Trans. on Image Processing, accepted, 2015.
  • Chen Shu, Luming Liang, Wenzhang Liang, Hassan Foroosh, 3D Pose Tracking with Multi-templates Warping and SIFT Correspondences, IEEE Trans. on Circuits and Systems for Video Technology, 2015.

2014

  • Nazim Ashraf, Chuan Sun, and Hassan Foroosh, View-Invariant Action recognition using Projective Depth, Journal of Computer Vision and Image Understanding (CVIU), accepted, to appear, 2014. (PDF)
  • Chuan Sun, Marshall Tappen, Hassan Foroosh, Feature-Independent Action Spotting Without Human Localization, Segmentation or Frame-wise Tracking, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), accepted, to appear, 2014. (PDF)
  • Kristian Damjker and Hassan Foroosh, Mesh-Free Sparse Representation of Multidimensional LiDAR Data, IEEE International Conference on Image Processing (ICIP), accepted, to appear, 2014. (PDF)
  • Chuan Sun and Hassan Foroosh, Should We Discard Sparse or Incomplete Videos? IEEE International Conference on Image Processing (ICIP), accepted, to appear, 2014.(PDF)
  • Amara Tariq and Hassan Foroosh, Scene-based Automatic Image Annotation, IEEE International Conference on Image Processing (ICIP), accepted, to appear, 2014. (PDF)
  • P. Jotwani, A. Suri, B. Baby, V.K. Srivastav, S. Banerjee, P. Kalra, S. Kumar, S. Prasad, K. Paul, H. Foroosh, R. Singh, M. Tripathi, R.C. Deo, T.S. Roy, S. Lalwani, B.S. Sharma, Computerized Evaluation versus Apprenticeship Method-based Evaluation: Effectualness of Micro-suturing in Neurosurgery Skills Training, Annual Conf. of the American Association of Neuro-Surgeons, CNS Section on Disorders of the Spine and Peripheral Nerves, 2014.

2013

  • Nazim Ashraf, Yuping Shen, Xiaochun Cao, and Hassan Foroosh, View-Invariant Action recognition using Weighted Fundamental Ratios, Journal of Computer Vision and Image Understanding (CVIU), vol. 117, pp. 587-602, 2013.(PDF)
  • Imran N. Junejo, Adeel Bhutta, and Hassan Foroosh, Single-Class SVM for Dynamic Scene Modeling, Signal Image and Video Processing, vol. 7, issue 1, pp 45-52, 2013. (PDF)
  • Amara Tariq, Asim Karim, Fernando Gomez, Hassan Foroosh, Exploiting Topical Perceptions over Multi-Lingual Text for Hashtag Suggestion on Twitter, FLAIRS Conference 2013.

2012

  • Chuan Sun, Imran Junejo, and Hassan Foroosh, Motion Sequence Volume based Retrieval for 3D Captured Data, Computer Graphics Forum, John Wiley, 2012. (PDF)
  • Nazim Ashraf, Chuan Sun, Hassan Foroosh, Motion Retrival using Low-Rank Decomposition of Fundamental Ratios, Proc. IEEE International Conference on Image Processing (ICIP), pp. 1905-1908, 2012. (PDF)
  • Nazim Ashraf, Hassan Foroosh, Human Action Recognition in Video Data Using Invariant Characteristic Vectors, Proc. IEEE International Conference on Image Processing (ICIP), pp. 1385-1388, 2012. (PDF)
  • Chuan Sun, Imran Junejo, and Hassan Foroosh, Action Recognition using Rank-1 Approximation of Joint Self-Similarity Volume, International Conference on Computer Vision (ICCV), pp. 1007-1012, 2012. (PDF)

2011

  • Chuan Sun, Imran Junejo, and Hassan Foroosh, Action Recognition using Rank-1 Approximation of Joint Self-Similarity Volume, International Conference on Computer Vision (ICCV), pp. 1007-1012, 2011. (PDF)
  • Adeel Bhutta, Imran Junejo and Hassan Foroosh, Selective Subtraction When The Scene Cannot be Learned, 12th IEEE International Conference on Image Processing (ICIP), pp. 3330-3333, 2011. (PDF)
  • Imran Junejo, Adeel Bhutta and Hassan Foroosh, Single-Class SVM for Dynamic Scene Modeling, Springer Journal of Signal, Image and Video Processing, pp. 1-8, 28 May 2011. (PDF)
  • Imran Junejo and Hassan Foroosh, Optimized PTZ Camera Calibration from Two Images, Springer Journal of Machine Vision and Applications (MVA), pp. 1-15, 23 February 2011. (PDF)

2010

  • Imran Junejo and Hassan Foroosh, GPS Coordinates Estimation and Camera Calibration from Solar Shadows, Computer Vision and Image Understanding (CVIU), to appear, 2010. (PDF)
  • Lin Wu, Xiaochun Cao and Hassan Foroosh, Camera calibration and Geo-Location Estimation from Two Shadow Trajectories, Computer Vision and Image Understanding (CVIU), vol. 114, pp. 915-927, 2010. (PDF)
  • Nazim Ashraf, Yuping Shen and Hassan Foroosh, View-Invariant Action Recognition Using Rank Constraint, International Conference on Pattern Recognition (ICPR), to appear, 2010.
  • Imran Junejo, Adeel Bhutta and Hassan Foroosh, Dynamic Scene Modeling for Object Detection Using Single-Class SVM, International Conference on Image Processing (ICIP), pp. 1541-1544, Sep 2010. (PDF)

2009

  • Yuping Shen and Hassan Foroosh, View Invariant Action Recognition from Point Triplets, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), to appear, 2009. (PDF)
  • Xiaochun Cao, Lin Wu, Jiangjian Xiao, Hassan Foroosh, Video Synchronization and Its Application on Object Transfer, Image and Vision Computing (IVC), to appear, 2009. (PDF)

2008

  • Imran N. Junejo and Hassan Foroosh, Estimating Geo-Temporal Location of Stationary Cameras Using Shadow Trajectories, Proc. The 10th European Conferenceon Computer Vision (ECCV), 2008. (PDF)
  • Yuping Shen and Hassan Foroosh, View Invariant Action Recognition Using Fundamental Ratios, Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.  (PDF)
  • Yuping Shen and Hassan Foroosh, View Invariant Recognition of Body Pose from Space-Time Templates, Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. (PDF)
  • O. Cakmakci, S.Vo, H. Foroosh, and J.P. Rolland. Application of Radial Basis Functions to Shape Description in a Dual-Element Off- Axis Magnifier, vol. 33, no. 11, pp. 1237-1239, Optics Letters, 2008.
  • O. Cakmakci, B. Moore, H. Foroosh, and J.P. Rolland. Optimal Local Shape Description for Rotationally Non-Symmetric Optical Surface Design and Analysis, Optics Express, Vol. 16, Issue 3, pp. 1583-1589, 2008.
  • M. Alnasser and H. Foroosh, Phase Shifting for Non-Separable 2D Haar Wavelets, IEEE Transactions on Image Processing, vol. 17, no. 7, pp. 1061-1068, May 2008. (PDF)
  • I. Junejo, and H. Foroosh, Euclidean path modeling for video surveillance, Image and Vision Computing (IVC), Volume 26, Issue 4, Pages 512-528, 2008.
  • Yuping Shen, Nazim Ashraf, and Hassan Foroosh, Action Recognition based on Homography Constraints, International Conference on Pattern Recognition (ICPR), 2008. – Best Scientific Paper Award – (PDF)
  • Imran N. Junejo and Hassan Foroosh, Practical Pure Pan and Pure Tilt Camera Calibration, International Conference on Pattern Recognition (ICPR), 2008. (PDF)
  • Imran N. Junejo and Hassan Foroosh, Refining PTZ Camera Calibration, International Conference on Pattern Recognition (ICPR), 2008. (PDF)
  • Imran N. Junejo and Hassan Foroosh, GPS Coordinate Estimation from Calibrated Cameras, International Conference on Pattern Recognition (ICPR), 2008. (PDF)
  • Nazim Ashraf and Hassan Foroosh, Robust Auto-Calibration of a PTZ Camera with Non-overlapping FOV, International Conference on Pattern Recognition (ICPR), 2008. (PDF)
  • Imran N. Junejo, and Hassan Foroosh, Practical PTZ Camera Calibration Using Givens Rotations, 15th IEEE International Conference on Image Processing (ICIP), 2008.
  • Imran N. Junejo, and Hassan Foroosh, Using Solar Shadow Trajectories for Camera Calibration, 15th IEEE International Conference on Image Processing (ICIP), 2008.
  • Brendan Moore, Marshall Tappen, and Hassan Foroosh, Learning Face Appearance under Different Lighting Conditions, Proc. IEEE Second International Conference on Biometrics Theory, Applications and Systems, 2008. (PDF)
  • Supraja Murali, Apurva Jain, Kye-sung Lee, Panomsak Meemon, Hassan Foroosh, Kevin Thompson, and Jannick Rolland, Super-resolution imaging combining the design of an optical coherence microscope objective with liquid-lens based dynamic focusing capability and computational methods, SPIE Conf. on Novel Optical Systems Design and Optimization XI, accepted, 2008.
  • Ozan Cakmakci, Gregory E. Fasshauer, Hassan Foroosh, Kevin P. Thompson, and Jannick P. Rolland, Meshfree Approximation Methods for Free-Form Surface Representation in Optical Design with Applications to Head-Worn Displays, SPIE Conf. on Novel Optical Systems Design and Optimization XI, accepted, 2008.

2007

  • I. Junejo, and H. Foroosh, Trajectory Rectification and Path Modeling for Surveillance, International Conference on Computer Vision (ICCV), pages 1-7, 2007. (PDF)
  • Xiaochun Cao, and Hassan Foroosh, “Camera Calibration and Light Source Orientation from Solar Shadows”, Computer Vision and Image Understanding (CVIU), Volume 105, Issue 1, January 2007, Pages 60-72.(PDF)
  • I. Junejo, X. Cao, and H. Foroosh, Auto-Configuration of a Dynamic Non-Overlapping Camera Network, IEEE Trans. Systems, Man, and Cybernetics, vol. 37, no. 4, pages 803-816, 2007. (PDF)
  • I. Junejo, and H. Foroosh, Euclidean Path Modeling from Ground and Aerial Views, Visual Surveillance, with Proceedings of IEEE CVPR, pages 1-6, 2007. (PDF)
  • N. Ashraf, I. Junejo, and H. Foroosh, Near-Optimal Mosaic Selection for Rotating and Zooming Video Cameras, Proc. of Asian Conference on Computer Vision (ACCV), Vol. II, 63-72, 2007. (PDF)
  • I. Junejo, N. Ashraf, Y. Shen, and H. Foroosh, Robust Auto-Calibration Using Fundamental Matrices Induced by Pedestrians, Proceedings of IEEE International Conference on Image Processing (ICIP), Vol. III, 201-204, 2007.
  • I. Junejo, and H. Foroosh, Using Calibrated Camera for Euclidean Path Modeling, Proceedings of IEEE International Conference on Image Processing (ICIP), Vol. III, 205-208, 2007.

2006

  • Imran Junejo, and Hassan Foroosh, “Disecting the Image of the Absolute Conic”, Proceedings of IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), 2006.(PDF)
  • Murat Balci and H. Foroosh, “Sub-Pixel Estimation of Shifts Directly in the Fourier Domain”, IEEE Trans. Image Processing, vol. 15, no. 7, pages 1965-1972, 2006;(PDF)
  • Murat Balci and H. Foroosh, “Sub-Pixel Registration Directly From Phase Difference”, Journal of Applied Signal Processing, special issue on Super-resolution Imaging, vol. 2006, pages 1-11, 2006;(PDF)
  • Imran Junejo, Xiaochun Cao, and Hassan Foroosh, “Geometry of a Non-Overlapping Multi-Camera Network”, Proceedings of IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), 2006.
  • Imran Junejo, and Hassan Foroosh, “Robust Auto-Calibration from Pedestrians”, Proceedings of IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), 2006.
  • Xiaochun Cao and Hassan Foroosh, “Camera Calibration Using Symmetric Objects”, IEEE Transactions on Image Processing (TIP) Volume 15, Issue 11, Nov. 2006 Page(s):3614 – 3619, 2006.(PDF)
  • Xiaochun Cao, Jiangjian Xiao, Hassan Foroosh, and Mubarak Shah, “Self-Calibration from Turn-Table Sequences in Presence of Zoom and Focus”, Computer Vision and Image Understanding (CVIU), 102(3):227-237, 2006.(PDF)
  • Murat Balci, Mais Alnasser, and Hassan Foroosh, “Alignment of Maxillofacial CT Scans to Stone-Cast Models Using 3D Symmetry for Backscattering Artifact Reduction”, Proc. of Medical Image Understanding and Analysis Conference (MIUA), 2006.
  • Adeel A. Bhutta and Hassan Foroosh, “Blind Blur Estimation using Low Rank Approximation of Cepstrum”, ICIAR 2006, LNCR 4141, pp. 94-103, 2006.(PDF)
  • Mais Alnasser and Hassan Foroosh, “Image-Based Rendering of Synthetic Diffuse Objects”, International Conference on Pattern Recognition (ICPR), 2006.(PDF)
  • Murat Balci, Mais Alnasser, and Hassan Foroosh, “Subpixel Alignment of MRI Data Under Cartesian and Log-Polar Sampling”, International Conference on Pattern Recognition (ICPR), 2006.(PDF)
  • Xiaochun Cao and Hassan Foroosh, “Synthesizing Reflections of Inserted Objects”, International Conference on Pattern Recognition (ICPR), 2006.(PDF)
  • Xiaochun Cao, Jiangjian Xiao, and Hassan Foroosh, “Self-Calibration Using Constant Camera Motion”, International Conference on Pattern Recognition (ICPR), 2006.(PDF)
  • Xiaochun Cao, Jiangjian Xiao, and Hassan Foroosh, “Camera Motion Quantification and Alignment”, International Conference on Pattern Recognition (ICPR), 2006.(PDF)
  • Imran Junejo, Xiaochun Cao, and Hassan Foroosh, “Calibrating Freely Moving Cameras”, International Conference on Pattern Recognition (ICPR), 2006.(PDF)
  • Imran Junejo, Xiaochun Cao, and Hassan Foroosh, “Configuring Mixed Reality Environment”, International Conference on Pattern Recognition (ICPR), 2006.(PDF)
  • Fei Lu, Xiaochun Cao, Yuping Shen, and Hassan Foroosh, “Camera Calibration from Two Shadow Trajectories”, International Conference on Pattern Recognition (ICPR), 2006.(PDF)
  • Yuping Shen, Fei Lu, Xiaochun Cao, and Hassan Foroosh, “Video Completion for Perspective Camera Under Constrained Motion”, International Conference on Pattern Recognition (ICPR), 2006.(PDF)
  • Murat Balci, Mais Alnasser, and Hassan Foroosh, “Image-Based Simulation of Gaseous Material”, IEEE International Conference on Image Processing (ICIP), 2006.(PDF)
  • Mais Alnasser and Hassan Foroosh, “Rendering Synthetic Objects in Natural Scenes”, IEEE International Conference on Image Processing (ICIP), 2006.(PDF)
  • Jiangjian Xiao, Xiaochun Cao, and Hassan Foroosh, “3D Object Transfer Between Non-overlapping Videos”, IEEE Virtual Reality Conference, 2006. (PDF)
  • Murat Balci and Hassan Foroosh, “Real-time 3D Fire Simulation Using a Spring-Mass Model”, IEEE International Multimedia Modeling Conference, 2006. (PDF)
  • Jiangjian Xiao, Xiaochun Cao, and Hassan Foroosh, “A New Framework for Video Cut and Paste”, IEEE International Multimedia Modeling Conference, 2006.(PDF)

2005

  • Hassan Foroosh, “Pixelwise Adaptive Dense Optical Flow Assuming Non-stationary Statistics”, IEEE Transactions on Image Processing, February 2005. (PDF)
  • Xiaochun Cao, Yuping Shen, Mubarak Shah and Hassan Foroosh, “Single View Compositing with Shadows”, The Visual Computer, Vol. 21, Issue 8, pp. 639-648, 2005. (PDF)
  • Adeel A. Bhutta and Hassan Foroosh, “On Combining Encryption for Multiple Data Streams”, 9th IEEE International Multi Topic Conference (INMIC), 2005.
  • Xiaochun Cao and Mubarak Shah, “Camera Calibration and Light Source Estimation from Images with Shadows”, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2005. (PDF)
  • Xiaochun Cao and Mubarak Shah, “Creating Realistic Shadows of Composited Objects”, IEEE Workshop on Applications of Computer Vision, 2005. (PDF)
  • Yaser Sheikh, Alexei Gritai, Imran Junejo, Robert Muise, Abhijit Mahalanobis, and Mubarak Shah, “Establishing a common view from multiple moving aerial sensors”, SPIE Symposium on Defence and Security, 2005.
  • Murat Balci and Hassan Foroosh, “Estimating Sub-Pixel Shifts Directly From the Phase Difference”, IEEE International Conference on Image Processing (ICIP), 2005.(PDF)
  • Hassan Foroosh, Xiaochun Cao and Murat Balci, “Metrology in Uncalibrated Images Given One Vanishing Point”, IEEE International Conference on Image Processing (ICIP), 2005. (PDF)
  • Murat Balci and Hassan Foroosh, “Inferring Motion from the Rank Constraint of the Phase Matrix”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2005.
  • Hassan Foroosh, Murat Balci and Xiaochun Cao, “Self-Calibrated Reconstruction of Partially Viewed Symmetric Objects”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2005. (PDF)

2004

  • Xiaochun Cao and Hassan Foroosh, “Simple Calibration Without Metric Information Using an Isosceles Trapezoid”, International Conference on Pattern Recognition (ICPR), 2004 (IAPR Piero Zamperoni Award).   (PDF)
  • Imran Junejo, Omar Javed and Mubarak Shah, “Multi Feature Path Modeling for Video Surveillance”, International Conference on Pattern Recognition (ICPR), 2004. (PDF)
  • Yun Zhai, Xiaochun Cao, Yunjun Zhang, Omar Javed, Alper Yilmaz, Fahd Rafi, Saad Ali, Orkun Alatas, Saad Khan, and Mubarak Shah, “University of Central Florida at TRECVID 2004”, TREC Video Retrieval Evaluation Workshop, 2004.
  • Hassan Foroosh and Murat Balci, “Sub-pixel Registration and Estimation of Local Shifts Directly in the Fourier Domain”, IEEE International Conference on Image Processing (ICIP), 2004. (PDF)
  • Hassan Foroosh, “An Adaptive Scheme for Estimating Motion”, IEEE International Conference on Image Processing (ICIP), 2004. (PDF)
  • Tao Fu and Hassan Foroosh, “Expression Morphing from Distant Viewpoints”, IEEE International Conference on Image Processing (ICIP), 2004. (PDF)
  • Xiaochun Cao and Hassan Foroosh, “Camera Calibration Without Metric Information Using 1D Objects”, IEEE International Conference on Image Processing (ICIP), 2004.(PDF)
  • Xiaochun Cao and Hassan Foroosh, “Metrology from Vertical Objects”, British Machine Vision Conference (BMVC), 2004.(PDF)
  • Xiaochun Cao and Hassan Foroosh, “Easy Camera Calibration from Inter-Image Homographies”, IEEE International Workshop on Image and Video Registration, CVPR, 2004.

2003

  • Hassan Foroosh and W.S. Hoge, “Motion Information in the Phase Domain”, in editors M. Shah and R. Kumar,”Video registration”, Kluwer Academic Publishers, May 2003.
  • Hassan Foroosh, “Adaptive Estimation of Motion Using Generalized Cross Validation”, International Workshop on Statistical & Computational Theory of Vision, 2003.

2002

  • Hassan Foroosh (Shekarforoush), J. Zerubia and M. Berthod, “Extension of Phase Correlation to Sub-pixel Registration”, IEEE Transactions on Image Processing, Vol. 11, Issue 3, pp. 188-200, 2002. (PDF)
  • Cagatay Undeger, Murat Balci, et. al., “Sensor Platform Optimization and Simulation for Surveillance of Large Scale Terrains”, Proceedings of I/ITSEC Conference on Modeling and Simulation, 2002.

2001

  • Hassan Foroosh, “A Closed-Form Solution For Optical Flow By Imposing Temporal Constraints”, International Conference on Image Processing (ICIP),2001.
  • C. Frueh, J. Flynn, H. Foroosh, and A. Zakhor, Fast 3D model generation for urban environments, Workshop on the Convergence of Graphics, Vision, and Video (CGVV’01), Berkeley, March 2001.
  • Murat Balci, “3D Fast Terrain Rendering”, MS. Thesis in Computer Engineering METU, 2001.

2000

  • Hassan Foroosh (Shekarforoush), “Noise Suppression by Removing Singularities”, IEEE Transactions on Signal Processing, Vol. 48, Issue 7, pp. 2175-2179, 2000. (PDF)
  • Hassan Foroosh (Shekarforoush) and Rama Chellappa, “A Multi-fractal Formalism for Stabilization, Object Detection and Tracking in FLIR Sequences”, International Conference on Image Processing (ICIP), 2000. (PDF)
  • Hassan Foroosh (Shekarforoush) and Rama Chellappa, “A Multi-fractal Formalism For Stabilization And Activity Detection in FLIR Sequences”, Proc. Annual Federated Laboratory Symposium, vol. Advanced Sensors, 2000.
  • Hassan Foroosh (Shekarforoush), “Image Registration Using Directional Local Holder Regularity”, Proc. 34th Conference on Information Sciences and Systems, Princeton, 2000.

1999

  • Hassan Foroosh (Shekarforoush) and Rama Chellappa, “Data-Driven Multi-channel Super-resolution with Application to Video Sequences”, Journal of Optical Society of America (JOSA), Vol. 16, no. 3, pp. 481-492, 1999. (PDF)
  • Hassan Foroosh (Shekarforoush) and and Rama Chellappa, “Super-resolution for Multi-look SAR Imagary”, Proc. Annual Federated Laboratory Symposium, vol. Advanced Sensors, pp. 313-317, 1999.
  • Hassan Foroosh (Shekarforoush), A. Banerjee and R. Chellappa, “Super-resolution for FOPEN SAR Images”, Proc. SPIE-International Society for Optical Engineering, vol. VIII, pp. 129-135, 1999.
  • Hassan Foroosh (Shekarforoush), “Conditioning Bounds for Multi-frame Super-resolution Algorithms”, CfAR Technical Report TR4001, UMD, 1999.

1998

  • Hassan Foroosh (Shekarforoush) and Rama Chellappa, “Multi-channel Super-resolution for Video Sequences with Application to Airborne Video Data”, Proc. 10th Image and Multi-dimensional Digital Signal Processing Workshop, pp. 207-210, 1998.
  • Hassan Foroosh (Shekarforoush) and Rama Chellappa, “Blind Estimation of PSF for Out of Focus Video Data”, vol. 3, pp. 742-745, Proc. International Conference on Image Processing (ICIP), 1998. (PDF)
  • Hassan Foroosh (Shekarforoush), J. Zerubia and M. Berthod, “Denoising by Extracting Fractional Order Singularities”, Proc. International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol. 5, pp. 2889-2892, 1998.
  • Hassan Foroosh (Shekarforoush) and Rama Chellappa, “Adaptive Super-resolution for PREDATOR Video Sequences”, Proc. Image Understanding Workshop, vol. II, pp. 995-1001, 1998.
  • Hassan Foroosh (Shekarforoush) and Rama Chellappa, “Data-driven Multi-channel Super-resolution with Applications to Video Sequences”, CfAR Technical Report TR3898, UMD, 1998.

1997

  • A. Lorette, Hassan Foroosh (Shekarforoush) and J. Zerubia, “Super-resolution with Adaptive Regularization”, Proc. International Conference on Image Processing (ICIP), vol. 1, pp. 169-172, 1997. (PDF)
  • A. Lorette, Hassan Foroosh (Shekarforoush) and J. Zerubia, “Prise en Compte des Discontinuit’es Dans un Algorithme de Super-resolution” , Proc. GRETSI, pp. 1217-1220, 1997.

1996

  • Hassan Foroosh (Shekarforoush), M. Berthod, M. Werman and J. Zerubia, “Reconstruction of High Resolution 3D Visual Information”, International Journal of Computer Vision (IJCV), Vol. 19, no.3, pp. 289-300, 1996.
  • Hassan Foroosh (Shekarforoush), M. Berthod, and J. Zerubia, “A Generalization of the Non-linear Simplex Search Method”, 5th SIAM Conference on Optimization, 1996.
  • Hassan Foroosh (Shekarforoush), M. Berthod and J. Zerubia, “Subpixel Image Registration by Estimating the Polyphase Decomposition of the Cross Power Spectrum”, Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1996. (PDF)
  • Hassan Foroosh (Shekarforoush), M. Berthod, and J. Zerubia, “Reconstruction of High Resolution 3D Visual Information”, INRIA Technical Report, 1996.
  • Hassan Foroosh (Shekarforoush), M. Berthod and J. Zerubia, “Subpixel Image Registration by Estimating the Polyphase Decomposition of the Cross Power Spectrum”, INRIA Technical Report, 1996 (PDF)
  • Hassan Foroosh (Shekarforoush), M. Berthod and J. Zerubia, “A Generalization of the Non-linear Simplex Search Method”, INRIA Technical Report, 1996.

1995

  • Hassan Foroosh (Shekarforoush), M. Berthod and J. Zerubia, “3D Super-resolution Using Generalized Sampling Expansion”, Proc. International Conference on Image Processing (ICIP), vol. 2, pp. 300-303, 1995. (PDF)
  • Hassan Foroosh (Shekarforoush), M. Berthod and J. Zerubia, “Sub-pixel Reconstruction of a Variable Albedo Lambertian Surface”, Proc. British Machine Vision Conference (BMVC), vol. 1, pp. 307-316, 1995.

1994

  • M. Berthod, Hassan Foroosh (Shekarforoush), M. Werman and J. Zerubia, “Reconstruction of High Resolution 3D Visual Information”, Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 654-657, 1994. (PDF)