Conferences               Journals               Abstracts               Other Articles
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 
Under Review
On the predictability of HRTFs from ear shapes using deep networks, 
Y. Zhou, H. Jiang, V. K. Ithapu 
Under Review
[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
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[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
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[C15] SoundSpaces: Audio-Visual Navigation in 3D Environments
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
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[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
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[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
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[C12] The Incremental Multiresolution Matrix Factorization Algorithm, 
V. K. Ithapu, R. Kondor, S. C. Johnson, V. Singh 
Computer Vision and Pattern Recognition (CVPR) 2017
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[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
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[C1] Hybrid Diversity Strategy using MIMO Radar for Target Tracking,
V. K. Ithapu, A. K. Mishra,
IEEE Applied Electromagnetics Conference (AEMC), 2009
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