Devinder Kumar

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 20

Top Topics

Viewpoint Invariant

Computed Tomography

Top Venues

Publications

Devinder Kumar, Rajesh Kr Singh, Ruchi Mishra, Ilias P. Vlachos
Big data analytics in supply chain decarbonisation: a systematic literature review and future research directions. Int. J. Prod. Res. 62 (4) (2024)
Devinder Kumar, Rajesh Kr Singh, Ruchi Mishra, Samuel Fosso Wamba
Applications of the internet of things for optimizing warehousing and logistics operations: A systematic literature review and future research directions. Comput. Ind. Eng. 171 (2022)
Anmol Sharan Nagi, Devinder Kumar, Daniel Sola, K. Andrea Scott
RUF: Effective Sea Ice Floe Segmentation Using End-to-End RES-UNET-CRF with Dual Loss. Remote. Sens. 13 (13) (2021)
Devinder Kumar, N. K. Jain, Uma Nangia
Perfectly convergent particle swarm optimisation in multidimensional space. Int. J. Bio Inspired Comput. 18 (4) (2021)
Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis. CoRR (2020)
Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong
Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis. WACV (2020)
Vignesh Sankar, Devinder Kumar, David A. Clausi, Graham W. Taylor, Alexander Wong
SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells. CoRR (2019)
Devinder Kumar, Graham W. Taylor, Alexander Wong
Discovery Radiomics With CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy. IEEE Access 7 (2019)
Devinder Kumar, Parthipan Siva, Paul Marchwica, Alexander Wong
Fairest of Them All: Establishing a Strong Baseline for Cross-Domain Person ReID. CoRR (2019)
Devinder Kumar, Vignesh Sankar, David A. Clausi, Graham W. Taylor, Alexander Wong
SISC: End-to-End Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells. IEEE Access 7 (2019)
Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. CoRR (2019)
Devinder Kumar, Ibrahim Ben Daya, Kanav Vats, Jeffery Feng, Graham W. Taylor, Alexander Wong
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. CVPR Workshops (2019)
Devinder Kumar, Vlado Menkovski, Graham W. Taylor, Alexander Wong
Understanding anatomy classification through attentive response maps. ISBI (2018)
Devinder Kumar, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction. ICIAR (2017)
Devinder Kumar, Helmut Neher, Arun Das, David A. Clausi, Steven Lake Waslander
Condition and Viewpoint Invariant Omni-Directional Place Recognition Using CNN. CRV (2017)
Devinder Kumar, Graham W. Taylor, Alexander Wong
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. CoRR (2017)
Devinder Kumar, Alexander Wong, Graham W. Taylor
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks. CVPR Workshops (2017)
Devinder Kumar, Alexander Wong, Graham W. Taylor
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks. CoRR (2017)
Devinder Kumar, Graham W. Taylor, Alexander Wong
Discovery Radiomics with CLEAR-DR: Interpretable Computer Aided Diagnosis of Diabetic Retinopathy. CoRR (2017)
Devinder Kumar, Vlado Menkovski
Understanding Anatomy Classification Through Visualization. CoRR (2016)
Devinder Kumar, Alexander Wong, David A. Clausi
Lung Nodule Classification Using Deep Features in CT Images. CRV (2015)
Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection. CoRR (2015)
Arun Das, Devinder Kumar, Abdelhamid El Bably, Steven Lake Waslander
Taming the North: Multi-camera Parallel Tracking and Mapping in Snow-Laden Environments. FSR (2015)
Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics for Computed Tomography Cancer Detection. CoRR (2015)
Audrey G. Chung, Mohammad Javad Shafiee, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection. CoRR (2015)
Xin Wang, Devinder Kumar, Nicolas Thome, Matthieu Cord, Frédéric Precioso
Recipe recognition with large multimodal food dataset. ICME Workshops (2015)
Srikrishna Karanam, Amarjot Singh, Devinder Kumar, Akash Choubey, Ketan Bacchuwar
Analysis and improvement of SNR using time slicing. ICDIP (2011)