Devinder Kumar
Devinder Kumar
Postdoctoral Fellow, Stanford University | PhD - UWaterloo & Vector Inst. of AI
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Lung nodule classification using deep features in CT images
D Kumar, A Wong, DA Clausi
2015 12th Conference on Computer and Robot Vision, 133-138, 2015
2132015
Insightful classification of crystal structures using deep learning
A Ziletti, D Kumar, M Scheffler, LM Ghiringhelli
Nature communications 9 (1), 1-10, 2018
922018
Recipe recognition with large multimodal food dataset
X Wang, D Kumar, N Thome, M Cord, F Precioso
2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2015
822015
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction
D Kumar, A Chung, MJ Shaifee, F Khalvati, MA Haider, A Wong
Image Analysis and Recognition: 14th International Conference, ICIAR 2017 …, 2017
502017
Explaining the unexplained: A class-enhanced attentive response (clear) approach to understanding deep neural networks
D Kumar, A Wong, GW Taylor
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
342017
Understanding anatomy classification through attentive response maps
D Kumar, V Menkovski, GW Taylor, A Wong
Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on …, 2018
192018
Discovery radiomics for multi-parametric MRI prostate cancer detection
AG Chung, MJ Shafiee, D Kumar, F Khalvati, MA Haider, A Wong
arXiv preprint arXiv:1509.00111, 2015
162015
Discovery radiomics via stochasticnet sequencers for cancer detection
MJ Shafiee, AG Chung, D Kumar, F Khalvati, M Haider, A Wong
arXiv preprint arXiv:1511.03361, 2015
122015
Constructive learning for human-robot interaction
A Singh, S Karanam, D Kumar
IEEE Potentials 32 (4), 13-19, 2013
112013
Opening the black box of financial ai with clear-trade: A class-enhanced attentive response approach for explaining and visualizing deep learning-driven stock market prediction
D Kumar, GW Taylor, A Wong
arXiv preprint arXiv:1709.01574, 2017
92017
Discovery radiomics with CLEAR-DR: interpretable computer aided diagnosis of diabetic retinopathy
D Kumar, GW Taylor, A Wong
IEEE Access 7, 25891-25896, 2019
72019
Taming the north: Multi-camera parallel tracking and mapping in snow-laden environments
A Das, D Kumar, A El Bably, SL Waslander
Field and Service Robotics, 345-359, 2016
72016
Discovery radiomics for imaging-driven quantitative personalized cancer decision support
A Wong, AG Chung, D Kumar, MJ Shafiee, F Khalvati, M Haider
Journal of Computational Vision and Imaging Systems 1 (1), 2015
62015
An OMR based automatic music player
A Singh, K Bacchuwar, A Choubey, D Kumar, S Karanam
2011 3rd International Conference on Computer Research and Development 1 …, 2011
62011
SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells
D Kumar, V Sankar, D Clausi, GW Taylor, A Wong
IEEE Access 7, 145444-145454, 2019
52019
Condition and viewpoint invariant omni-directional place recognition using cnn
D Kumar, H Neher, A Das, DA Clausi, SL Waslander
2017 14th Conference on Computer and Robot Vision (CRV), 32-39, 2017
42017
A comparison of biclustering with clustering algorithms
A Singh, A Nagrare, P Srikanth, D Kumar, C Dwith
2011 Third Pacific-Asia Conference on Circuits, Communications and System …, 2011
42011
Deep learning based place recognition for challenging environments
D Kumar
University of Waterloo, 2016
32016
An Intelligent Multi-Gesture Spotting Robot to Assist Persons with Disabilities
A Singh, D Kumar, P Srikanth, S Karanam, N Acharya
International Journal of Computer Theory and Engineering 4 (6), 998, 2012
22012
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis
D Kumar, P Siva, P Marchwica, A Wong
The IEEE Winter Conference on Applications of Computer Vision, 2645-2654, 2020
12020
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Articles 1–20