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Prof. Kaleem Siddiqi belongs to the School of Computer Science at Ď㽶ĘÓƵ and is director of the Shape Analysis Group at CIM.
2023
M. Rezanejad, J. Wilder, D.B. Walther, A.D. Jepson, S. Dickinson, K. Siddiqi. “Shape-Based Measures Improve Scene Categorization”. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023/12/1, pp : 1-14. DOI: 10.1109/TPAMI.2023.3333352
D. Dileep, T.A. Syed, T.F.W. Sloan, P.S. Dhandapany, K. Siddiqi, M. Sirajuddin. “Cardiomyocyte orientation recovery at micrometer scale reveals long-axis fiber continuum in heart walls”. The EMBO Journal 42 (19), e113288. DOI:
C.K. Salmon, T.A. Syed, J.B. Kacerovsky, N. Alivodej, A.L. Schober, T.F.W. Sloan, M.T. Pratte, M.P. Rosen, M. Green, A. Chirgwin-Dasgupta, S. Mehta, A. Jilani, Y. Wang, H. Vali, C.A. Mandato, K. Siddiqi,
K.K. Murai. “Organizing principles of astrocytic nanoarchitecture in the mouse cerebral cortex”. Current Biology 33 (5), 957-972. e5 (This article was featured in an accompanying dispatch piece by Khakh and Soto in the same issue of Current Biology: ).
T.A. Syed, Y. Wang, D. Dileep, M. Sirajuddin, K. Siddiqi. “Ultrastructure Analysis of Cardiomyocytes and Their Nuclei”. International Conference on Functional Imaging and Modeling of the Heart, Lyon, France, 14-24 (LNCS,volume 13958) [ORAL]
T.A. Syed, Y. Wang, D. Dileep, M. Sirajuddin, K. Siddiqi. “Push it to the Demonstrated Limit: Multimodal Visuotactile Imitation Learning with Force Matching”. arXiv preprint arXiv:2311.01248 A.K. Mondal, S.S. Panigrahi, S. Rajeswar, K. Siddiqi, S. Ravanbakhsh. “Efficient Dynamics Modeling in Interactive Environments with Koopman Theory”. arXiv preprint arXiv:2306.11941
2022
John Wilder et al. “Neural correlates of local parallelism during naturalistic vision”. In: Plos one 17.1 (2022), e0260266.
Francois R Hogan et al. “Finger-sts: Combined proximity and tactile sensing for robotic manipulation”. In: IEEE Robotics and Automation Letters 7.4 (2022), pp. 10865–10872.
Thierry L Lefebvre et al. “Predicting histopathology markers of endometrial carcinoma with a quantitative image analysis approach based on spherical harmonics in multiparametric MRI”. In: Diagnostic and Interventional Imaging 104.3 (2023), pp. 142– 152.
Arnab Kumar Mondal et al. “Eqr: Equivariant representations for data-efficient reinforcement learning”. In: International Conference on Machine Learning. PMLR. 2022, pp. 15908–15926.
Morteza Rezanejad et al. “Medial spectral coordinates for 3D shape analysis”. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022, pp. 2686–2696.
Francois R Hogan et al. “Finger-sts: Combined proximity and tactile sensing for robotic manipulation”. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2022.
Morteza Rezanejad, Kaleem Siddiqi, and Dirk B Walther. “Automatic detection of shape parts using maximal inscribed disks”. In: Journal of Vision 22.14 (2022), pp. 3759– 3759.
Elham Karimi et al. “Machine learning meets classical computer vision for accurate cell identification”. In: bioRxiv (2022), pp. 2022–02.
Drisya Dileep et al. “Myofiber reconstruction at micron scale reveals longitudinal bands in heart ventricular walls”. In: bioRxiv (2022), pp. 2022–05.
2021
Y. Xu, Y. Wang, S. Tsogkas, J. Wan, X. Bai, S. Dickinson, and K. Siddiqi. “Deepflux for skeleton detection in the wild,” International Journal of Computer Vision 129 (4), 1323-1339, 2021.
P. Khandelwal, D.L. Collins, and K. Siddiqi. “Spine and Individual Vertebrae Segmentation in Computed Tomography Images Using Geometric Flows and Shape Priors,” Frontiers in Computer Science, July 2021.
P. Bohleber, M. Roman, C. Barbante, S. Vascon, K. Siddiqi, and M. Pelillo. “Ice Core Science Meets Computer Vision: Challenges and Perspectives,” Frontiers in Computer Science, June 2021.
P. Savadjiev, B. Gallix, M. Rezanejad, S. Bhatnagar, A. Semionov, K. Siddiqi, R. Forghazi, C. Reinhold, D.H. Eidelman, and R.J. Dandurand. “Improved Detection of Chronic Obstructive Pulmonary Disease at Chest CT Using the Mean Curvature of Isophotes,” Radiology: Artificial Intelligence, e210105, December 2021.
A.K. Mondal, V. Jain, and K. Siddiqi. “Mini-batch graphs for robust image classification,” British Machine Vision Conference (BMVC), 2021.
C.K. Salmon, T.A. Syed, J.B. Kacerovsky, N. Alivodej, A.L. Schober, M.T. Pratte, M.P. Rosen, M. Green, A. DasGupta, H. Vali, C.A. Mandato, K. Siddiqi, and K.K. Murai. “Organizing Principles of Astrocytic Nanoarchitecture in the Mouse Cerebral Cortex,” bioRxiv, December 2021.
M. Rezanejad, M. Khodadad, H. Mahyar, H. Lombaert, M. Gruninger, D.B. Walther, and K. Siddiqi. “Medial Spectral Coordinates for 3D Shape Analysis,” arXiv preprint arXiv:2111.13295
2020
Balasubramanian, L., Zuzarte-LuĂs, V., Syed, T., Mullick, D., Deb, S., Ranga-Prasad, H., Meissner, J., Almeida, A., Furstenhaupt, T., Siddiqi, K. and PrudĂŞncio, M., 2020. Association of Plasmodium berghei With the Apical Domain of Hepatocytes Is Necessary for the Parasite's Liver Stage Development. Frontiers in cellular and infection microbiology, 9, p.451.
Arnab Mondal, Pratheeksha Nair and Kaleem Siddiqi. Group Equiv- ariant Deep Reinforcement Learning. In ICML Workshop on Inductive Biases, Invariances and Generalization in RL, July 2020.
Chu Wang, Babak Samari, Vladimir Kim, Siddhartha Chaudhuri and Kaleem Siddiqi. Affinity Graph Supervision for Visual Recognition. In International Conference on Computer Vision and Pattern Recognition (CVPR, Seattle, CA), June 2020.
Charles-Olivier Dufresne Camaro, Morteza Rezanejad, Stavros Tsogkas, Kaleem Siddiqi and Sven Dickinson. Appearance Shock Grammar for Fast Medial Axis Extraction from Real Images. In International Conference on Computer Vision and Pattern Recognition (CVPR, Seattle, CA), June 2020.
2019
K Kumar, K Siddiqi, C Desrosiers, “White matter fiber analysis using kernel dictionary learning and sparsity priors”. Pattern Recognition 95, 83-95, 2019.
J Wilder, M Rezanejad, S Dickinson, K Siddiqi, A Jepson, DB Walther. “Local contour symmetry facilitates scene categorization”. Cognition 182, 307-317, 2019.
Y Wang, Y Xu, S Tsogkas, X Bai, S Dickinson, K Siddiqi. “Deepflux for skeletons in the wild”. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019.
M Rezanejad, G Downs, J Wilder, DB Walther, A Jepson, S Dickinson, K Siddiqi. “Scene categorization from contours: Medial axis based salience measures”. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019.
B Samari, TA Syed, K Siddiqi. “Minimizing Non-holonomicity: Finding Sheets in Fibrous Structures”. International Conference on Information Processing in Medical Imaging, 183-194, 2019.
M. Rezanejad , G. Downs , J. Wilder, D. B. Walthers, A. Jepson, S. Dickinson and K. Siddiqi. “Perceptually Weighted Contours for CNN-Based Scene Categorization”. In Conference on Cognitive Computational Neuroscience, Berlin, Germany, 2019.
J. Wilder, M. Rezanejad , K. Siddiqi, A. Jepson, S. Dickinson and D. B. Walthers. “Local Contour Symmetry Facilitates the Neural Representation of Scene Categories in the PPA”. In Conference on Cognitive Computational Neuroscience, Berlin, Germany, 2019.
M Rezanejad, G Downs, J Wilder, DB Walther, A Jepson, S Dickinson, K Siddiqi. “Perceptual grouping aids recognition of line drawings of scenes by CNNs”. Journal of Vision 19 (10), 129-129, (oral presentation at VSS 2019).
JD Wilder, M Rezanejad, K Siddiqi, A Jepson, S Dickinson, DB Walther. “The neural basis of local contour symmetry in scene perception”. Journal of Vision 19 (10), 189a-189a (poster presentation at VSS 2019).
C Wang, M Pelillo, K Siddiqi. “Dominant set clustering and pooling for multi-view 3d object recognition”. arXiv preprint arXiv:1906.01592
C Wang, B Samari, V Kim, S Chaudhuri, K Siddiqi. “FAN: Focused Attention Networks”. arXiv preprint arXiv:1905.11498
2018
J. Wilder, M. Rezanejad, S. Dickinson, K. Siddiqi, A. Jepson and D. B. Walther. Local contour symmetry facilitates scene categorization. Cognition, 182, 307-317, 2019.
(open source article printed online Dec 2018, in print 2019).
T. A. Armstrong, A. Kadivar, P. Savadjiev, S. W. Zucker and K. Siddiqi. Conduction in the Heart Wall: Helicoidal Fibers Minimize Difusion Bias. Scientific Reports, 8:7165, 2018, doi:10.1038/s41598-018-25334-7
C. Wang, B. Samari and K. Siddiqi. Local Spectral Graph Convolution for Point Set Feature Learning. In European Conference on Computer Vision (ECCV, Munich, Germany), September 2018.
C. Wang, B. Samari and K. Siddiqi. Local Spectral Graph Convolution for Point Set Feature Learning. In European Conference on Computer Vision (ECCV, Munich, Germany), September 2018.
T. Syed, B. Samari and K. Siddiqi. Estimating Sheets in the Heart Wall. In Statistical Atlases and Computational Modelling of the Heart Workshop (STACOM, Granada, Spain), September 2018
J. Wilder, M. Rezanejad, K. Siddiqi, S. Dickinson, A. Jepson and D. Bernhardt-Walther. Measuring Local Symmetry in Real-World Scenes. In Vision Sciences Society Conference (St. Pete Beach, United States), May 2018.
M. Rezanejad, J. Wilder, K. Siddiqi, S. Dickinson, A. Jepson and D. Bernhardt-Walther. Measuring Local Symmetry in Real-World Scenes Using Derivatives of the Medial Axis Radius Function. In Computational and Mathematical Models in Vision (MODVIS, St. Pete Beach, United States), May 2018.
2017
Tristan Aumentado-Armstrong and Kaleem Siddiqi. (2017). Stochastic Heat Kernel Estimation on Sampled Manifolds. Computer Graphics Forum. 36(5): 131--138.
Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot and Matthew Toews. (2017). Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis. NeuroImage. 158: 242-259.
Suinesiaputra A, Ablin P , Alba X , Alessandrini M, Allen J , Bai W, Cimen S, Claes P, Cowan BR, D'hooge J, Duchateau N, Ehrhardt J, Frangi AF, Gooya A, Grau V, Lekadir K, Lu A, Mukhopadhyay A, Oksuz I , Parajali N, Pennec X, Pereanez M, Pinto C, Piras P, Rohe MM, Rueckert D, Saring D, Sermesant M, Siddiqi K, Tabassian M, Teresi L, Tsaftaris SA, Wilms M, Young AA, Zhang X, Medrano-Gracia P. (2017). Statistical shape modeling of the left ventricle: myocardial infarct classification challenge. IEEE Journal of Biomedical and Health Informatics. DOI: 10.1109/JHBI.2017.2652449
Babak Samari and Tristan Aumentado-Armstrong and Gustav J. Strijkers and Martijn Froeling and Kaleem Siddiqi. (2017). Denoising Moving Heart Wall Fibers Using Cartan Frames. In Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec City, Quebec, Canada, September 2017.
Wang, Chu and Pelillo, Marcello and Siddiqi, Kaleem. (2017). Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition. In British Machine Vision Conference, Imperial College, London, United Kingdom, September 2017.
Babak Samari and *Tristan Aumentado-Armstrong and Gustav J. Strijkers and Martijn Froeling and Kaleem Siddiqi. (2017). Cartan Frames for Heart Wall Fiber Motion. In Functional Imaging and Modeling of the Heart (FIMH), Toronto, Canada, June 2017.
Hong, Sungmin and Fishbaugh, James and Rezanejad, Morteza and Siddiqi, Kaleem and Johnson, Hans and Paulsen, Jane and Kim, Eun Young and Gerig, Guido. (2017). Subject-Specific Longitudinal Shape Analysis by Coupling Spatiotemporal Shape Modeling with Medial Analysis. SPIE Medical Imaging Conference, Houston, United States (101331A--101331A)
John Wilder and Morteza Rezanejad and Sven Dickinson and Allan Jepson and Kaleem Siddiqi and Dirk Bernhardt-Walther. (2017). The Perceptual Advantage of Symmetry for Scene Perception. In Vision Sciences Society Conference (VSS), St. Pete Beach, United States
John Wilder and Morteza Rezanejad and Sven Dickinson and Allan Jepson and Kaleem Siddiqi and Dirk Bernhardt-Walther. (2017). The role of symmetry in scene categorization of human observers. In Computational and Mathematical Models in Vision (MODVIS), St. Pete Beach, United States
Morteza Rezanejad and John Wilder and Sven Dickinson and Allan Jepson and Dirk Bernhardt-Walther and Kaleem Siddiqi. (2017). Scoring Scene Symmetry. In Computational and Mathematical Models in Vision (MODVIS), St. Pete Beach, United States
Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi, Olivier Colliot and Matthew Toews. Fiberprint: Identifying subjects and twins using fiber geometry based brain fingerprint. In Medical Imaging Meets NIPS Workshop, Long Beach, CA, USA. December 2017.
