Vishwanath A. Sindagi

Johns Hopkins University — United States

Computer Science · Physical Sciences

21h-index4.0kcitations49works0.02yr avg
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Research Topics

Video Surveillance and Tracking Methods(18), Advanced Neural Network Applications(16), Image Enhancement Techniques(14), Anomaly Detection Techniques and Applications(13), COVID-19 diagnosis using AI(11)

Publications49 total

Source-free Unsupervised Domain Adaptation for 3D Object Detection in Adverse Weather
2023· 17 cited
Unsupervised Domain Adaptation of Object Detectors: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence·2023· 224 cited
Mixture of Teacher Experts for Source-Free Domain Adaptive Object Detection
2022 IEEE International Conference on Image Processing (ICIP)·2022· 10 cited
Unsupervised Restoration of Weather-affected Images using Deep Gaussian Process-based CycleGAN
2022 26th International Conference on Pattern Recognition (ICPR)·2022· 3 cited
Unsupervised Restoration of Weather-affected Images using Deep Gaussian Process-based CycleGAN
arXiv (Cornell University)·2022Open Access
Completely Self-supervised Crowd Counting via Distribution Matching
Lecture notes in computer science·2022· 22 cited
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
IEEE Transactions on Medical Imaging·2021· 235 cited
Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection
arXiv (Cornell University)·2021· 19 citedOpen Access
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection
arXiv (Cornell University)·2021· 39 citedOpen Access
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection
2021· 49 citedOpen Access
Unsupervised Domain Adaption of Object Detectors: A Survey
arXiv (Cornell University)·2021· 11 citedOpen Access
Unsupervised Domain Adaptation of Object Detectors: A Survey
arXiv (Cornell University)·2021· 13 citedOpen Access
SINGLE IMAGE BASED CROWD COUNTING USING DEEP LEARNING
2021
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain\n Adaptive Object Detection
arXiv (Cornell University)·2021· 5 citedOpen Access
Semi-Supervised Image Deraining Using Gaussian Processes
IEEE Transactions on Image Processing·2021· 27 cited
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
arXiv (Cornell University)·2020· 1 citedOpen Access
Semi-Supervised Image Deraining using Gaussian Processes
arXiv (Cornell University)·2020· 5 citedOpen Access
Completely Self-Supervised Crowd Counting via Distribution Matching
arXiv (Cornell University)·2020· 3 citedOpen Access
Syn2Real Transfer Learning for Image Deraining using Gaussian Processes
arXiv (Cornell University)·2020· 4 citedOpen Access
KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations
arXiv (Cornell University)·2020· 15 citedOpen Access
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Frequent Co-authors

Vishal M. Patel(45), Rajeev Yasarla(13), Poojan Oza(9), He Zhang(7), Vibashan VS(6), Ilker Hacihaliloglu(5), Jeya Maria Jose Valanarasu(3), Velat Kilic(3), Deepti Hegde(3), Mark A. Foster(3), R. Venkatesh Babu(3), Lidan Wang(2), Sumit Srivastava(2), Deepak Babu Sam(2), Abhinav Agarwalla(2), Jimmy Joseph(2), A. Brinton Cooper(2), Jeya Maria Jose(2), Cosmin Ancuți(1), Ruhao Zhao(1)