Selected Publications are listed below, for a comprehensive, more up to date list, please visit my Google Scholar page.
Journals and Book Chapters
- Anirudh, R., Thiagarajan, J. J., Bremer, P. T., Spears, B. K., Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies, Submitted, Sept 2019. [Link to slides presented at Monterey Data Conference]
- Anirudh, R., Thiagarajan, J. J., Kailkhura, B., Bremer, P. T., MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking, Under revision at International Journal of Computer Vision (IJCV), Oct 2019.
- Turaga, P., Anirudh, R., Chellappa, R., Manifold Learning, to appear in Computer Vision: A Reference Guide, Springer Reference 2019.
- Anirudh, R., Turaga, P., & Srivastava, A., Optimization Problems Associated with Manifold-Valued Curves with Applications in Computer Vision. In Convex Optimization Methods in Imaging Science, 2017. [Springer].
- Anirudh, R., Turaga, P., Su, J., & Srivastava, A., Elastic Functional Coding of Riemannian Trajectories. Accepted T-PAMI, 2016. — 2015 Impact Factor: 6.077 [arXiv] [IEEE Xplore] [code]
- Anirudh, R., & Turaga, P., Geometry-based symbolic approximation for fast sequence matching on manifolds. Accepted at IJCV, 2015 — 2015 Impact Factor: 4.275 [arXiv] [Springer]
- Shroff, N., Anirudh, R., & Chellappa, R., Summarization and search over geometric spaces. In Riemannian Computing in Computer Vision, 2016.[Springer]
Peer-Reviewed Conference Papers
- Anirudh, R., & Thiagarajan, J. J., Bootstrapping graph convolutional neural networks for autism spectrum disorder classification, in ICASSP 2019. [arXiv preprint]
- Thiagarajan, J. J., Anirudh, R., Sridhar, R., & Bremer, P. T., Unsupervised Dimension Selection using a Blue Noise Spectrum. in ICASSP 2019. [arXiv preprint].
- Thiagarajan, J. J., Kim, I., Anirudh, R., & Bremer, P. T., Understand Deep Neural Networks through Input Uncertainties, in ICASSP 2019 (Oral). [arXiv preprint]
- Thopalli, K., Anirudh, R., Thiagarajan, J. J., Turaga, P., Multiple Subspace Alignment Improves Domain Adaptation, in ICASSP 2019. [arXiv preprint]
- Thiagarajan, J.J., Jain, N., Anirudh, R., et al., Bootstrapping Parameter Space Exploration for Fast Tuning, to appear in ICS 2018.
- Anirudh, R., Kim, H., Thiagarajan, J. J., Mohan, K.A., Champley, K., Bremer, T., Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion, [pdf] [supplementary material]. Spotlight talk (given to ~7% of 3300 submissions) in CVPR, 2018.
- Thiagarajan, J.J., Anirudh, R., et al. PADDLE: Performance Analysis using a Data-driven Learning Environment. to appear in IPDPS 2018.
- Marathe, A., Anirudh, R., et al., Performance Modeling under Resource Constraints Using Deep Transfer Learning, SC 2017. [pdf]
- Anirudh, R., Masroor, A., & Turaga, P., Diversity promoting online sampling for streaming video summarization, ICIP 2016. [pdf]
- Anirudh, R., Thiagarajan, J. J., Bremer, T., & Kim, H., Lung nodule detection using 3D convolutional neural networks trained on weakly labeled data. SPIE Medical Imaging, 2016. [pdf]
- Sivakumar, A., Anirudh, R., & Turaga, P., Geometric Compression of Orientation Signals for Fast Gesture Analysis. DCC 2015. [pdf]
- Anirudh, R., Turaga, P., Su, J., & Srivastava, A., Elastic functional coding of human actions: From vector-fields to latent variables. CVPR, 2015. [pdf][code]
- Anirudh, R., & Turaga, P., Interactively test driving an object detector: Estimating performance on unlabeled data. WACV, 2014. [pdf]
- Anirudh, R., Ramamurthy, K., Thiagarajan, J. J., Turaga, P., & Spanias, A., A heterogeneous dictionary model for representation and recognition of human actions., ICASSP, 2013. [pdf]
Workshop Papers & Manuscripts
- An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks, May 2018. [arxiv preprint]
- MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis, Feb 2018. [arxiv preprint]
- Anirudh, R., Kailkhura, B., Thiagarajan, J. J., Bremer, T., Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization, CVPR Workshops 2017. [pdf]
- Autism Spectrum Disorder Classification using Graph Kernels on Multidimensional Time Series. [arXiv preprint].
- Anirudh, R., Venkataraman, V., Natesan Ramamurthy, K., & Turaga, P., A Riemannian framework for statistical analysis of topological persistence diagrams, CVPR Workshops 2016 [pdf]. [code]
- Som, A., Anirudh, R., Wang, Q., & Turaga, P., Riemannian geometric approaches for measuring movement quality, CVPR Workshops 2016 [pdf].
- Wang, Q., Anirudh, R., & Turaga, P., Temporal Reflection Symmetry of Human Actions: A Riemannian Analysis, BMVC Workshops 2015. [pdf].
- Anirudh, R., Venkataraman, V., & Turaga, P., A Generalized Lyapunov Feature for Dynamical Systems on Riemannian Manifolds, BMVC Workshops 2015 [pdf].
- Krzyzaniak, M., Anirudh, R., Venkataraman, V., Turaga, P., & Wei, S. X. Towards realtime measurement of connectedness in human movement. In Proceedings of the 2nd International Workshop on Movement and Computing (MOCO), 2015. [pdf]
Other Unpublished Work
- Simulating retinal visual filters for patients with loss of vision — A MATLAB GUI implementation. (Work done in INPG France) July 2009. (pdf)
- Shape Pattern Recognition using the Euclidean Distance Method, Undergraduate Thesis Project, April 2010. (pdf)
- Frequency-Domain Adaptive Noise Cancellation. (DSP Term Project), Nov 2010. (pdf)
- An OpenCV Implementation of Supervised Texture Segmentation Using Gabor Filters. (Digital Image Processing Term Project) April 2011. (pdf)
- Validation of the cortical homunculus using functional-MRI. (Biomedical Image Processing Term Project), Jan 2012. (pdf)
- ceci n’ est pas une code, R. Anirudh, M. Krzyzaniak, A. Faith, S. Lohit, Sep 2015.
Inspired by the “The Treachery of Images”.
Displayed on the walls of Stauffer-B at Arizona State University. (original pdf) (on display)