Aniraj, A.[Ananthu]
* 2023: Masking Strategies for Background Bias Removal in Computer Vision Models
Aniruddha, S.
* 2014: Person Identification in Natural Static Postures Using Kinect
Anirudh, R.[Rushil]
* 2014: Interactively test driving an object detector: Estimating performance on unlabeled data
* 2015: Elastic functional coding of human actions: From vector-fields to latent variables
* 2015: Generalized Lyapunov Feature for Dynamical Systems on Riemannian Manifolds, A
* 2015: Temporal Reflection Symmetry of Human Actions: A Riemannian Analysis
* 2016: Diversity promoting online sampling for streaming video summarization
* 2016: Geometry-Based Symbolic Approximation for Fast Sequence Matching on Manifolds
* 2016: Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams, A
* 2016: Riemannian Geometric Approaches for Measuring Movement Quality
* 2017: Elastic Functional Coding of Riemannian Trajectories
* 2017: Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization
* 2018: Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion
* 2020: MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking
* 2021: Data-Driven Estimation of Temporal-Sampling Errors in Unsteady Flows
* 2021: Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields
* 2021: Generative Patch Priors for Practical Compressive Image Recovery
* 2021: Recovering Trajectories of Unmarked Joints in 3D Human Actions Using Latent Space Optimization
* 2023: Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification
* 2023: Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences Between Pretrained Generative Models
* 2023: DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction
* 2023: Exploring Inlier and Outlier Specification for Improved Medical OOD Detection
* 2023: Improving Diversity with Adversarially Learned Transformations for Domain Generalization
Includes: Anirudh, R.[Rushil] Anirudh, R.
21 for Anirudh, R.