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 | 494 | 2011 |
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 | 376 | 2021 |
An efficient algorithm for co-segmentation DS Hochbaum, V Singh Computer Vision, 2009 IEEE 12th International Conference on, 269-276, 2009 | 316 | 2009 |
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 | 258 | 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 | 225 | 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 | 204 | 2015 |
Solving the multi-way matching problem by permutation synchronization D Pachauri, R Kondor, V Singh Advances in neural information processing systems 26, 2013 | 204 | 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 | 198 | 2016 |
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 | 149 | 2021 |
Scale Invariant cosegmentation for image groups L Mukherjee, V Singh, J Peng Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011 | 144 | 2011 |
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 | 132 | 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 | 127 | 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 | 125 | 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 | 118 | 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 | 104 | 2019 |
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 | 93 | 2013 |
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 | 92 | 2009 |
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 | 90 | 2014 |
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 | 83 | 2015 |
Ensemble clustering using semidefinite programming with applications V Singh, L Mukherjee, J Peng, J Xu Machine learning 79, 177-200, 2010 | 83 | 2010 |