[C20] Egocentric Pose Estimation from Human Vision Span,
H. Jiang, V. K. Ithapu
International Conference on Computer Vision (ICCV) 2021
PDF
[C19] Do sound event representations generalize to other audio tasks? A case study in audio transfer learning,
A. Kumar, Y. Wang, V. K. Ithapu, C. Fuegen
InterSpeech 2021
PDF
[C18] On the predictability of HRTFs from ear shapes using deep networks,
Y. Zhou, H. Jiang, V. K. Ithapu
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021
PDF
[C17] A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition,
A. Kumar, V. K. Ithapu
International Conference on Machine Learning (ICML) 2020
[C16] SeCoST: Sequential Co-Supervision for Weakly Labeled Audio Event Detection,
A. Kumar, V. K. Ithapu
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020
PDF
C. Chen, U. Jain, C. Schissler, S. V. A. Gari, Z. Al-Halah, V. K. Ithapu, P. Robinson, K. Grauman
European Conference on Computer Vision (ECCV) 2020
[C14] Decoding the Deep: Exploring Class Hierarchies of Deep Representations using Multiresolution Matrix Factorization,
V. K. Ithapu
Explainable Computer Vision Workshop, Computer Vision and Pattern Recognition (CVPR) 2017
[C13] When can Multi-site Datasets be Pooled for Regression: Hypothesis Tests, L2-consistency and Neuroscience Applications,
H. Hao, Y. Zhang, V. K. Ithapu, G. Wahba, S. C. Johnson, V. Singh
International Conference on Machine Learning (ICML) 2017
[C12] The Incremental Multiresolution Matrix Factorization Algorithm,
V. K. Ithapu, R. Kondor, S. C. Johnson, V. Singh
Computer Vision and Pattern Recognition (CVPR) 2017
[C11] On the Interplay of Network Structure and Gradient Convergence in Deep Learning,
V. K. Ithapu, S. Ravi, V. Singh
54th Allerton Conference on Communication, Control and Computing (Allerton) 2016
[C10] Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease,
H. Hao, V. K. Ithapu, S. Ravi, V. Singh, G. Wahba, S. C. Johnson
Neural Information Processing Systems (NeurIPS) 2016
[C9] Experimental Design on a Budget for Sparse Linear Models and Applications,
S. Ravi, V. K. Ithapu, S. C. Johnson, V. Singh
International Conference on Machine Learning (ICML), 2016
[C8] An NMF perspective on Binary Hashing,
L. Mukherjee, S. Ravi, V. K. Ithapu, T. Holmes, V. Singh
International Conference on Computer Vision (ICCV), 2015
[C7] A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer,
S. J. Hwang, M. Collins, S. Ravi, V. K. Ithapu, N. Adluru, S. C. Johnson, V. Singh,
International Conference on Computer Vision (ICCV), 2015
[C6] Randomized Denoising Autoencoders for Smaller and Efficient Imaging based AD Clinical Trials,
V. K. Ithapu, V. Singh, O. Okonkwo, S. C. Johnson,
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014
[C5] Speeding up Permutation Testing in Neuroimaging,
V. K. Ithapu*, C. Hinrichs*, Q. Sun, S. C. Johnson, V. Singh,
Neural Information Processing Systems (NeurIPS), 2013
* - equal contribution
PDF (Oral Spotlight)
[C4] GOSUS: Grassmannian Online Subspace Updates with Structured-sparsity,
J. Xu, V. K. Ithapu, L. Mukherjee, J. Rehg, V. Singh,
International Conference on Computer Vision (ICCV), 2013
[C3] Fundus Image Registration for Vestibularis Research,
V. K. Ithapu, A. Fritsche, A. Oppelt, M. Westhofen, T. M. Deserno,
Proceedings of SPIE Medical Imaging, 2010
[C2] Diversity Employment into Target plus Clutter SAR Imaging using MIMO Configuration,
V. K. Ithapu, A. K. Mishra, R. K. Panigrahi,
Indian Antenna Week, 2010
[C1] Hybrid Diversity Strategy using MIMO Radar for Target Tracking,
V. K. Ithapu, A. K. Mishra,
IEEE Applied Electromagnetics Conference (AEMC), 2009