Vikas Singh
Zitiert von
Zitiert von
Predictive markers for AD in a multi-modality framework: an analysis of MCI progression in the ADNI population
C Hinrichs, V Singh, G Xu, SC Johnson, ...
Neuroimage 55 (2), 574-589, 2011
An efficient algorithm for co-segmentation
DS Hochbaum, V Singh
Computer Vision, 2009 IEEE 12th International Conference on, 269-276, 2009
Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention
Y Xiong, Z Zeng, R Chakraborty, M Tan, G Fung, Y Li, V Singh
Proceedings of the AAAI Conference on Artificial Intelligence 35, 2021
Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset
C Hinrichs, V Singh, L Mukherjee, G Xu, MK Chung, SC Johnson, ...
Neuroimage 48 (1), 138-149, 2009
Half-integrality based algorithms for cosegmentation of images
L Mukherjee, V Singh, CR Dyer
Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009
Gaze-enabled egocentric video summarization via constrained submodular maximization
J Xu, L Mukherjee, Y Li, J Warner, JM Rehg, V Singh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Solving the multi-way matching problem by permutation synchronization
D Pachauri, R Kondor, V Singh
Advances in neural information processing systems 26, 2013
Controlling UAVs with sensor input spoofing attacks
D Davidson, H Wu, R Jellinek, T Ristenpart, C Tech, V Singh
Proceedings of the 10th USENIX Conference on Offensive Technologies, 221-231, 2016
Scale Invariant cosegmentation for image groups
L Mukherjee, V Singh, J Peng
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
Y Xiong, H Liu, S Gupta, B Akin, G Bender, PJ Kindermans, M Tan, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
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
Random Walks based Multi-Image Segmentation: Quasiconvexity Results and GPU-based Solutions
MD Collins, J Xu, L Grady, V Singh
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
Topology-based kernels with application to inference problems in Alzheimer's disease
D Pachauri, C Hinrichs, MK Chung, SC Johnson, V Singh
IEEE transactions on medical imaging 30 (10), 1760-1770, 2011
Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia
AFA Fernandes, EM Turra, ÉR de Alvarenga, TL Passafaro, FB Lopes, ...
Computers and Electronics in Agriculture 170, 105274, 2020
Mixed effects neural networks (menets) with applications to gaze estimation
Y Xiong, HJ Kim, V Singh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Extracting and summarizing white matter hyperintensities using supervised segmentation methods in Alzheimer's disease risk and aging studies
V Ithapu, V Singh, C Lindner, BP Austin, C Hinrichs, CM Carlsson, ...
Human brain mapping 35 (8), 4219-4235, 2014
MKL for robust multi-modality AD classification
C Hinrichs, V Singh, G Xu, S Johnson
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009
Characterizing functional connectivity differences in aging adults using machine learning on resting state fMRI data
S Vergun, A Deshpande, TB Meier, J Song, DL Tudorascu, VA Nair, ...
Frontiers in computational neuroscience 7, 38, 2013
Ensemble clustering using semidefinite programming with applications
V Singh, L Mukherjee, J Peng, J Xu
Machine learning 79, 177-200, 2010
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
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