Jeya Maria Jose
Hi!, I am a 3rd year Ph.D. student at Johns Hopkins University, in the Department of Electrical and Computer Engineering where I am working in Vision and Image Understanding Lab , advised by Dr. Vishal M Patel .
My research focus lies within the intersection of Computer Vision, Machine Learning, and Medical Imaging. More specifically, I work on image/3D segmentation, image enhancement, image-to-image translation for large-scale vision and medical imaging tasks.
I interned at Adobe in the summer of 2021 where I worked on image harmonization problems. During my undergrad days, I worked at the Medical Mechatronics Lab in National University of Singapore on medical image segmentation and survival prediction problems. I graduated from NIT Trichy, India in 2019 with my Bachelor's degree majoring in Instrumentation and Control.
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News
- March, 2022 - Presented a Tutorial at ISBI 2022 on medical image segmentation.
- March, 2022 - 1 paper accepted at CVPR 2022.
- January, 2022 - 1 paper accepted at ICRA 2022.
- November, 2021 - 1 paper accepted in IEEE Transactions on Medical Imaging.
- June, 2021 - 2 papers accepted at MICCAI 2021.
- May, 2021 - Joined Adobe as a Research Intern.
- May, 2021 - 1 paper accepted at ICIP 2021 .
- November, 2020 - 1 paper accepted in IEEE Journal of Selected Topics in Signal Processing .
- November, 2020 - 1 paper accepted at WACV 2021 .
- July, 2020 - Recipient of MICCAI Student Travel Award for the year 2020.
- May, 2020 - 1 paper accepted in the IEEE Journal of Selected Topics in Signal Processing .
- May, 2020 - 1 paper accepted at MICCAI 2020 (Early Acceptance).
September, 2019 - Awarded Best Student Paper award at CVIP 2019 .
- August, 2019 - Joined Johns Hopkins University for my Ph.D with ECE fellowship.
Teaching
Teaching Assistant: Deep Learning EN.520.638.01.SP22, Spring 2022, Johns Hopkins University
Teaching Assistant: Deep Learning EN.520.638.01.SP21, Spring 2021, Johns Hopkins University
Research
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Interactive Portrait Harmonization
Preprint
Jeya Maria Jose, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin
, Jose Echevarria, Yinglan Ma, Zijun Wei, Kalyan Sunkavalli, and Vishal M. Patel
Paper | Code | Project
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UNeXt: MLP-based Rapid Medical Image Segmentation Network
Preprint
Jeya Maria Jose
and Vishal M. Patel
Paper | Code | Project
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On-the-Fly Test-time Adaptation for Medical Image Segmentation
Preprint
Jeya Maria Jose
, Pengfei Guo, Vibashan VS, and Vishal M. Patel
Paper | Code
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Target and Task specific Source-Free Domain Adaptive Image Segmentation
Preprint
Vibashan VS*, Jeya Maria Jose*
, and Vishal M. Patel
*equal contribution
Paper | Code
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TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions
CVPR 2022
Jeya Maria Jose, Rajeev Yasarla
and Vishal M. Patel
Paper | Code | Project
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SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving
ICRA 2022
Chaminda Bandara,
Jeya Maria Jose,
and Vishal M. Patel
Paper | Code
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Medical Transformer: Gated Axial-Attention for Medical Image Segmentation
MICCAI 2021
Jeya Maria Jose,
Poojan Oza,
Ilker Hacihaliloglu,
Vishal M. Patel
Paper | Code
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Over-and-Under Complete Convolutional RNN for MRI Reconstruction
MICCAI 2021
Pengfei Guo, Jeya Maria Jose,
Puyang Wang,
Jinyuan Zhou,Shanshan Jiang,
Vishal M. Patel
Paper | Code
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KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation
IEEE Transactions on Medical Imaging
Jeya Maria Jose,
Vishwanath Sindagi,
Ilker Hacihaliloglu,
Vishal M. Patel
Paper | Code | Project
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Fine-Context Shadow Detection using Shadow Removal
arXiv Preprint 2021
Jeya Maria Jose
and Vishal M. Patel
Paper
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Overcomplete Deep Subspace Clustering Networks
WACV 2021
Jeya Maria Jose and
Vishal M. Patel
Paper | Code
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Overcomplete Representations against Adversarial Videos
ICIP 2021
Shao-Yuan Lo,
Jeya Maria Jose,
and Vishal M. Patel
Paper
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Exploring Overcomplete Representations for Single Image Deraining using CNNs
IEEE Journal of Selected Topics in Signal Processing
Rajeev Yasarla*,
Jeya Maria Jose*,
Vishal M. Patel
*equal contribution
Paper | Code
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KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations
MICCAI 2020 (Oral)
Jeya Maria Jose,
Vishwanath Sindagi,
Ilker Hacihaliloglu,
Vishal M. Patel
Paper | Code | Project
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Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data
IEEE Journal of Selected Topics in Signal Processing
Jeya Maria Jose,
Rajeev Yasarla,
Puyang Wang,
Ilker Hacihaliloglu,
Vishal M. Patel
Paper
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Tackling Multiple Visual Artifacts: Blind Image Restoration using Conditional Adversarial Networks
CVIP 2019 (Best Student Paper Award)
M Anand,
A Ashwin Natraj,
Jeya Maria Jose,
K Subramanian,
S Deivalakshmi
Paper | Code
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Brain Tumor Segmentation and Survival Prediction using 3D Attention UNet
BraTS, MICCAI Workshop 2019
Mobarakol Islam,
Vibashan VS,
Jeya Maria Jose,
Navodini Wijethilake,
Uppal Utkarsh,
Hongliang Ren
Paper
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Glioma Prognosis: Segmentation of the Tumor and Survival Prediction using Shape, Geometric and Clinical Information
BraTS, MICCAI Workshop 2018
Mobarakol Islam,
Jeya Maria Jose,
Hongliang Ren
Paper | Poster
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Services
Web Chair: AVSS 2021
Reviewer at:
Journals :
TPAMI, TMI, MedIA, TCSVT, TGRS, IJCV, PR, CBM
Conferences :
CVPR, ICCV, ECCV, NeurIPS, ICLR, MICCAI, MIDL, WACV, ICIP
Workshops :
BrainLes, Medical Image Learning with Less Labels and Imperfect Data
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