Vamsi Krishna Ithapu
Vamsi Krishna Ithapu
Research Scientist, Facebook Reality Labs
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Deep learning for medical image analysis
SK Zhou, H Greenspan, D Shen
Academic Press, 2017
GOSUS: Grassmannian online subspace updates with structured-sparsity
J Xu, VK Ithapu, L Mukherjee, JM Rehg, V Singh
Proceedings of the IEEE international conference on computer vision, 3376-3383, 2013
Extracting and summarizing white matter hyperintensities using supervised segmentation methods in Alzheimer's disease risk and aging studies
VK Ithapu, V Singh, C Lindner, BP Austin, C Hinrichs, CM Carlsson, ...
Human brain mapping 35 (8), 4219-4235, 2014
SoundSpaces: Audio-Visual Navigation in 3D Environments
C Chen, U Jain, C Schissler, SV Amengual Gari, Z Al-Halah, VK Ithapu, ...
European Conference on Computer Vision (ECCV), 2020
Imaging-based enrichment criteria using deep learning algorithms for efficient clinical trials in mild cognitive impairment
VK Ithapu, V Singh, OC Okonkwo, RJ Chappell, NM Dowling, SC Johnson, ...
Alzheimer's & Dementia 11 (12), 1489-1499, 2015
Relative vascular permeability and vascularity across different regions of the rat nasal mucosa: implications for nasal physiology and drug delivery
NN Kumar, M Gautam, JJ Lochhead, DJ Wolak, V Ithapu, V Singh, ...
Scientific reports 6 (1), 1-14, 2016
An NMF perspective on binary hashing
L Mukherjee, SN Ravi, VK Ithapu, T Holmes, V Singh
Proceedings of the IEEE International Conference on Computer Vision, 4184-4192, 2015
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition
A Kumar, VK Ithapu
International Conference on Machine Learning (ICML), 2020
Hypothesis testing in unsupervised domain adaptation with applications in alzheimer's disease
H Zhou, VK Ithapu, SN Ravi, V Singh, G Wahba, SC Johnson
Advances in neural information processing systems, 2496-2504, 2016
On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation
VK Ithapu, SN Ravi, V Singh
arXiv preprint arXiv:1702.08670, 2017
SeCoST: Sequential Co-Supervision for Weakly Labeled Audio Event Detection
A Kumar, VK Ithapu
IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2020
Experimental Design on a Budget for Sparse Linear Models and Applications
SN Ravi, VK Ithapu, SC Johnson, V Singh
Proceedings of The 33rd International Conference on Machine Learning, 583-592, 2016
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, -consistency and Neuroscience Applications
HH Zhou, Y Zhang, VK Ithapu, SC Johnson, G Wahba, V Singh
International Conference on Machine Learning, 2017
Randomized denoising autoencoders for smaller and efficient imaging based AD clinical trials
VK Ithapu, V Singh, O Okonkwo, SC Johnson
International conference on medical image computing and computer-assisted …, 2014
Decoding the deep: Exploring class hierarchies of deep representations using multiresolution matrix factorization
VK Ithapu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
The Incremental Multiresolution Matrix Factorization Algorithm
VK Ithapu, R Kondor, SC Johnson, V Singh
Computer Vision and Pattern Recognition (CVPR), 2017
A projection free method for generalized eigenvalue problem with a nonsmooth regularizer
SJ Hwang, MD Collins, SN Ravi, VK Ithapu, N Adluru, SC Johnson, ...
Proceedings of the IEEE International Conference on Computer Vision, 1841-1849, 2015
Speeding up permutation testing in neuroimaging
C Hinrichs, VK Ithapu, Q Sun, SC Johnson, V Singh
Advances in neural information processing systems, 890-898, 2013
Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM
F Gutierrez-Barragan, VK Ithapu, C Hinrichs, C Maumet, SC Johnson, ...
Neuroimage 159, 79-98, 2017
On the interplay of network structure and gradient convergence in deep learning
VK Ithapu, SN Ravi, V Singh
2016 54th Annual Allerton Conference on Communication, Control, and …, 2016
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Artikkelit 1–20