Devinder Kumar

According to our database, Devinder Kumar authored at least 23 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Big data analytics in supply chain decarbonisation: a systematic literature review and future research directions.

Devinder Kumar, Rajesh Kr Singh, Ruchi Mishra, Ilias P. Vlachos

Int. J. Prod. Res., February, 2024

2022

Applications of the internet of things for optimizing warehousing and logistics operations: A systematic literature review and future research directions.

Devinder Kumar, Rajesh Kr Singh, Ruchi Mishra, Samuel Fosso Wamba

Comput. Ind. Eng., 2022

2021

RUF: Effective Sea Ice Floe Segmentation Using End-to-End RES-UNET-CRF with Dual Loss.

Anmol Sharan Nagi, Devinder Kumar, Daniel Sola, Katharine Andrea Scott

Remote. Sens., 2021

Perfectly convergent particle swarm optimisation in multidimensional space.

Devinder Kumar, N. K. Jain, Uma Nangia

Int. J. Bio Inspired Comput., 2021

2020

Class Based Strategies for Understanding Neural Networks.

Devinder Kumar

PhD thesis, 2020

Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis.

Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

Fairest of Them All: Establishing a Strong Baseline for Cross-Domain Person ReID.

Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong

CoRR, 2019

Discovery Radiomics With CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy.

Devinder Kumar, Graham W. Taylor, Alexander Wong

IEEE Access, 2019

SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells.

Devinder Kumar, Vignesh Sankar, David A. Clausi, Graham W. Taylor, Alexander Wong

IEEE Access, 2019

Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning.

Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Understanding anatomy classification through attentive response maps.

Devinder Kumar, Vlado Menkovski, Graham W. Taylor, Alexander Wong

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

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.

Devinder Kumar, Graham W. Taylor, Alexander Wong

CoRR, 2017

Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction.

Devinder Kumar, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong

Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks.

Devinder Kumar, Alexander Wong, Graham W. Taylor

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Condition and Viewpoint Invariant Omni-Directional Place Recognition Using CNN.

Devinder Kumar, Helmut Neher, Arun Das, David A. Clausi, Steven Lake Waslander

Proceedings of the 14th Conference on Computer and Robot Vision, 2017

2016

Understanding Anatomy Classification Through Visualization.

Devinder Kumar, Vlado Menkovski

CoRR, 2016

2015

Discovery Radiomics via StochasticNet Sequencers for Cancer Detection.

Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong

CoRR, 2015

Discovery Radiomics for Computed Tomography Cancer Detection.

Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong

CoRR, 2015

Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection.

Audrey G. Chung, Mohammad Javad Shafiee, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong

CoRR, 2015

Recipe recognition with large multimodal food dataset.

Xin Wang, Devinder Kumar, Nicolas Thome, Matthieu Cord, Frédéric Precioso

Proceedings of the 2015 IEEE International Conference on Multimedia & Expo Workshops, 2015

Taming the North: Multi-camera Parallel Tracking and Mapping in Snow-Laden Environments.

Arun Das, Devinder Kumar, Abdelhamid El Bably, Steven Lake Waslander

Proceedings of the Field and Service Robotics, 2015

Lung Nodule Classification Using Deep Features in CT Images.

Devinder Kumar, Alexander Wong, David A. Clausi

Proceedings of the 12th Conference on Computer and Robot Vision, 2015

2011

Analysis and improvement of SNR using time slicing.

Srikrishna Karanam, Amarjot Singh, Devinder Kumar, Akash Choubey, Ketan Bacchuwar

Proceedings of the Third International Conference on Digital Image Processing, 2011