Devinder Kumar
Devinder Kumar
Head - ML Systems & Engineering, TD Bank
Verified email at - Homepage
Cited by
Cited by
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
Insightful classification of crystal structures using deep learning
A Ziletti, D Kumar, M Scheffler, LM Ghiringhelli
Nature communications 9 (1), 2775, 2018
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
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
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
Discovery radiomics with CLEAR-DR: interpretable computer aided diagnosis of diabetic retinopathy
D Kumar, GW Taylor, A Wong
IEEE Access 7, 25891-25896, 2019
RUF: Effective sea ice floe segmentation using end-to-end RES-UNET-CRF with dual loss
AS Nagi, D Kumar, D Sola, KA Scott
Remote Sensing 13 (13), 2460, 2021
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
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
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
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
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
Fairest of them all: Establishing a strong baseline for cross-domain person reid
D Kumar, P Siva, P Marchwica, A Wong
arXiv preprint arXiv:1907.12016, 2019
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
Constructive learning for human-robot interaction
A Singh, S Karanam, D Kumar
IEEE Potentials 32 (4), 13-19, 2013
Robust, generalizable, and interpretable artificial intelligence–derived brain fingerprints of autism and social communication symptom severity
K Supekar, S Ryali, R Yuan, D Kumar, C de Los Angeles, V Menon
Biological Psychiatry 92 (8), 643-653, 2022
Taming the north: Multi-camera parallel tracking and mapping in snow-laden environments
A Das, D Kumar, AE Bably, SL Waslander
Field and Service Robotics: Results of the 10th International Conference …, 2016
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
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
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
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
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