Praveen Ravirathinam

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Constrained Clustering

Top Venues

Publications

Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. SDM (2024)
Erhu He, Yiqun Xie, Weiye Chen, Sergii Skakun, Han Bao, Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia
Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Praveen Ravirathinam, Ankush Khandelwal, Rahul Ghosh, Vipin Kumar
Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications. CoRR (2024)
Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. CoRR (2024)
Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. SDM (2023)
Yiqun Xie, Weiye Chen, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
Harnessing heterogeneity in space with statistically guided meta-learning. Knowl. Inf. Syst. 65 (6) (2023)
Yiqun Xie, Erhu He, Xiaowei Jia, Weiye Chen, Sergii Skakun, Han Bao, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. AAAI (2022)
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). IJCAI (2022)
Erhu He, Weiye Chen, Yiqun Xie, Han Bao, Xun Zhou, Xiaowei Jia, Zhe Jiang, Rahul Ghosh, Praveen Ravirathinam
Sailing in the location-based fairness-bias sphere. SIGSPATIAL/GIS (2022)
Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. CoRR (2022)
Praveen Ravirathinam, Divyam Goel, J. Jennifer Ranjani
C-LIENet: A Multi-Context Low-Light Image Enhancement Network. IEEE Access 9 (2021)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. IEEE BigData (2021)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. IEEE BigData (2021)
Praveen Ravirathinam, Darshan Agrawal, J. Jennifer Ranjani
NeighCNN: A CNN based SAR Speckle Reduction using Feature preserving Loss Function. CoRR (2021)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. CoRR (2021)
Anirudh Srinivasan Chakravarthy, Roshan Roy, Praveen Ravirathinam
MRSCAtt: A Spatio-Channel Attention-Guided Network for Mars Rover Image Classification. CVPR Workshops (2021)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. CoRR (2021)
Yiqun Xie, Xiaowei Jia, Han Bao, Xun Zhou, Jia Yu, Rahul Ghosh, Praveen Ravirathinam
Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. SIGSPATIAL/GIS (2021)
Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam
A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. ICDM (2021)