Jeya Maria Jose Valanarasu

Orcid: 0000-0001-6424-7529

According to our database1, Jeya Maria Jose Valanarasu authored at least 27 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation.
CoRR, 2024

2023
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.
CoRR, 2023

ReBotNet: Fast Real-time Video Enhancement.
CoRR, 2023

Fine-Context Shadow Detection using Shadow Removal.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

On-the-Fly Test-time Adaptation for Medical Image Segmentation.
Proceedings of the Medical Imaging with Deep Learning, 2023

Interactive Portrait Harmonization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Ambiguous Medical Image Segmentation Using Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation.
IEEE Trans. Medical Imaging, 2022

Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction.
IEEE Trans. Geosci. Remote. Sens., 2022

Target and Task specific Source-Free Domain Adaptive Image Segmentation.
CoRR, 2022

UNeXt: MLP-Based Rapid Medical Image Segmentation Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Simultaneous Bone and Shadow Segmentation Network Using Task Correspondence Consistency.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Orientation-Guided Graph Convolutional Network for Bone Surface Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Transformer-Based SAR Image Despeckling.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

SAR Despeckling Using Overcomplete Convolutional Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Image Fusion Transformer.
Proceedings of the 2022 IEEE International Conference on Image Processing, 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
Exploring Overcomplete Representations for Single Image Deraining Using CNNs.
IEEE J. Sel. Top. Signal Process., 2021

R2D: Learning Shadow Removal to Enhance Fine-Context Shadow Detection.
CoRR, 2021

Overcomplete Deep Subspace Clustering Networks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Medical Transformer: Gated Axial-Attention for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Over-and-Under Complete Convolutional RNN for MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Overcomplete Representations Against Adversarial Videos.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

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

KiU-Net: Towards Accurate Segmentation of Biomedical Images Using Over-Complete Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020


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