Rajeev Yasarla

Orcid: 0000-0002-4371-6653

According to our database1, Rajeev Yasarla authored at least 30 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation.
CoRR, 2024

HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation.
CoRR, 2024

3SD: Self-Supervised Saliency Detection With No Labels.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Self-Supervised Denoising Transformer with Gaussian Process.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
CNN-Based Restoration of a Single Face Image Degraded by Atmospheric Turbulence.
IEEE Trans. Biom. Behav. Identity Sci., 2022

JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

ART-SS: An Adaptive Rejection Technique for Semi-Supervised restoration for adverse weather-affected images.
CoRR, 2022

3SD: Self-Supervised Saliency Detection With No Labels.
CoRR, 2022

Unsupervised Restoration of Weather-affected Images using Deep Gaussian Process-based CycleGAN.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

NBD-GAP: Non-Blind Image Deblurring without Clean Target Images.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

ART-SS: An Adaptive Rejection Technique for Semi-supervised Restoration for Adverse Weather-Affected Images.
Proceedings of the Computer Vision - ECCV 2022, 2022

TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Anatomic and Molecular MR Image Synthesis Using Confidence Guided CNNs.
IEEE Trans. Medical Imaging, 2021

Semi-Supervised Image Deraining Using Gaussian Processes.
IEEE Trans. Image Process., 2021

Exploring Overcomplete Representations for Single Image Deraining Using CNNs.
IEEE J. Sel. Top. Signal Process., 2021

Network Architecture Search for Face Enhancement.
CoRR, 2021

Learning to Restore Images Degraded by Atmospheric Turbulence Using Uncertainty.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Deblurring Face Images Using Uncertainty Guided Multi-Stream Semantic Networks.
IEEE Trans. Image Process., 2020

Confidence Measure Guided Single Image De-Raining.
IEEE Trans. Image Process., 2020

Learning to Segment Brain Anatomy From 2D Ultrasound With Less Data.
IEEE J. Sel. Top. Signal Process., 2020

Confidence-guided Lesion Mask-based Simultaneous Synthesis of Anatomic and Molecular MR Images in Patients with Post-treatment Malignant Gliomas.
CoRR, 2020

Learning to Restore a Single Face Image Degraded by Atmospheric Turbulence using CNNs.
CoRR, 2020

Learning to Count in the Crowd from Limited Labeled Data.
Proceedings of the Computer Vision - ECCV 2020, 2020

Prior-Based Domain Adaptive Object Detection for Hazy and Rainy Conditions.
Proceedings of the Computer Vision - ECCV 2020, 2020

Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data.
CoRR, 2019

Prior-based Domain Adaptive Object Detection for Adverse Weather Conditions.
CoRR, 2019

Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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