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ORCIDJeya Maria Jose Valanarasu
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Journal Articles
- 2022
[j4]Wele Gedara Chaminda Bandara
, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)- [j3]Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel:
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation. IEEE Trans. Medical Imaging 41(4): 965-976 (2022) - 2021
- [j2]Rajeev Yasarla, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Exploring Overcomplete Representations for Single Image Deraining Using CNNs. IEEE J. Sel. Top. Signal Process. 15(2): 229-239 (2021) - 2020
- [j1]Jeya Maria Jose Valanarasu, Rajeev Yasarla, Puyang Wang, Ilker Hacihaliloglu, Vishal M. Patel:
Learning to Segment Brain Anatomy From 2D Ultrasound With Less Data. IEEE J. Sel. Top. Signal Process. 14(6): 1221-1234 (2020)
Conference and Workshop Papers
- 2024
- [c20]Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M. Patel:
MaxFusion: Plug&Play Multi-modal Generation in Text-to-Image Diffusion Models. ECCV (38) 2024: 93-110 - [c19]Rajeev Yasarla, Jeya Maria Jose Valanarasu, Vishwanath S, Vishal M. Patel:
Self-Supervised Denoising Transformer with Gaussian Process. WACV 2024: 1463-1473 - 2023
- [c18]Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel:
Ambiguous Medical Image Segmentation Using Diffusion Models. CVPR 2023: 11536-11546 - [c17]Deepti Hegde, Jeya Maria Jose Valanarasu, Vishal M. Patel:
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition. ICCV (Workshops) 2023: 2020-2030 - [c16]Jeya Maria Jose Valanarasu, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Jose Echevarria, Yinglan Ma, Zijun Wei, Kalyan Sunkavalli, Vishal Patel:
Interactive Portrait Harmonization. ICLR 2023 - [c15]Jeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS, Vishal M. Patel:
On-the-Fly Test-time Adaptation for Medical Image Segmentation. MIDL 2023: 586-598 - [c14]Jeya Maria Jose Valanarasu, Vishal M. Patel:
Fine-Context Shadow Detection using Shadow Removal. WACV 2023: 1705-1714 - 2022
- [c13]Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel:
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions. CVPR 2022: 2343-2353 - [c12]Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza, Vishal M. Patel:
Image Fusion Transformer. ICIP 2022: 3566-3570 - [c11]Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel:
SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving. ICRA 2022: 343-350 - [c10]Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel:
SAR Despeckling Using Overcomplete Convolutional Networks. IGARSS 2022: 401-404 - [c9]Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Transformer-Based SAR Image Despeckling. IGARSS 2022: 751-754 - [c8]Jeya Maria Jose Valanarasu, Vishal M. Patel:
UNeXt: MLP-Based Rapid Medical Image Segmentation Network. MICCAI (5) 2022: 23-33 - [c7]Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel:
Simultaneous Bone and Shadow Segmentation Network Using Task Correspondence Consistency. MICCAI (4) 2022: 330-339 - [c6]Aimon Rahman, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel:
Orientation-Guided Graph Convolutional Network for Bone Surface Segmentation. MICCAI (5) 2022: 412-421 - 2021
- [c5]Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Overcomplete Representations Against Adversarial Videos. ICIP 2021: 1939-1943 - [c4]Pengfei Guo, Jeya Maria Jose Valanarasu, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel:
Over-and-Under Complete Convolutional RNN for MRI Reconstruction. MICCAI (6) 2021: 13-23 - [c3]Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel:
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation. MICCAI (1) 2021: 36-46 - [c2]Jeya Maria Jose Valanarasu, Vishal M. Patel:
Overcomplete Deep Subspace Clustering Networks. WACV 2021: 746-755 - 2020
- [c1]Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel:
KiU-Net: Towards Accurate Segmentation of Biomedical Images Using Over-Complete Representations. MICCAI (4) 2020: 363-373
Informal and Other Publications
- 2024
- [i31]Zhihong Chen, Maya Varma, Jean-Benoit Delbrouck, Magdalini Paschali, Louis Blankemeier, Dave Van Veen, Jeya Maria Jose Valanarasu, Alaa Youssef, Joseph Paul Cohen, Eduardo Pontes Reis, Emily Bao Tsai, Andrew Johnston, Cameron Olsen, Tanishq Mathew Abraham, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz:
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. CoRR abs/2401.12208 (2024) - [i30]Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers. CoRR abs/2404.09976 (2024) - [i29]Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M. Patel:
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models. CoRR abs/2404.09977 (2024) - [i28]Chih-Ying Liu, Jeya Maria Jose Valanarasu, Camila González, Curtis P. Langlotz, Andrew Y. Ng, Sergios Gatidis:
Unlocking Robust Segmentation Across All Age Groups via Continual Learning. CoRR abs/2404.13185 (2024) - [i27]Tanvi Deshpande, Eva Prakash, Elsie Gyang Ross, Curtis P. Langlotz, Andrew Y. Ng, Jeya Maria Jose Valanarasu:
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation. CoRR abs/2404.17033 (2024) - [i26]Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari:
Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR abs/2406.06512 (2024) - [i25]Zepeng Huo, Jason Alan Fries, Alejandro Lozano, Jeya Maria Jose Valanarasu, Ethan Steinberg, Louis Blankemeier, Akshay S. Chaudhari, Curtis P. Langlotz, Nigam H. Shah:
Time-to-Event Pretraining for 3D Medical Imaging. CoRR abs/2411.09361 (2024) - [i24]Eva Prakash, Jeya Maria Jose Valanarasu, Zhihong Chen, Eduardo Pontes Reis, Andrew Johnston, Anuj Pareek, Christian Bluethgen, Sergios Gatidis, Cameron Olsen, Akshay Chaudhari, Andrew Y. Ng, Curtis P. Langlotz:
Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis. CoRR abs/2411.18602 (2024) - 2023
- [i23]Deepti Hegde, Jeya Maria Jose Valanarasu, Vishal M. Patel:
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition. CoRR abs/2303.11313 (2023) - [i22]Jeya Maria Jose Valanarasu, Rahul Garg, Andeep Toor, Xin Tong, Weijuan Xi, Andreas Lugmayr, Vishal M. Patel, Anne Menini:
ReBotNet: Fast Real-time Video Enhancement. CoRR abs/2303.13504 (2023) - [i21]Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel:
Ambiguous Medical Image Segmentation using Diffusion Models. CoRR abs/2304.04745 (2023) - [i20]Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett A. Landman, Daguang Xu, Yufan He, Vishwesh Nath:
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. CoRR abs/2307.16896 (2023) - 2022
- [i19]Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Transformer-based SAR Image Despeckling. CoRR abs/2201.09355 (2022) - [i18]Jeya Maria Jose Valanarasu, Vishal M. Patel:
UNeXt: MLP-based Rapid Medical Image Segmentation Network. CoRR abs/2203.04967 (2022) - [i17]Jeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS, Vishal M. Patel:
On-the-Fly Test-time Adaptation for Medical Image Segmentation. CoRR abs/2203.05574 (2022) - [i16]Jeya Maria Jose Valanarasu, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Jose Echevarria, Yinglan Ma, Zijun Wei, Kalyan Sunkavalli, Vishal M. Patel:
Interactive Portrait Harmonization. CoRR abs/2203.08216 (2022) - [i15]Vibashan VS, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Target and Task specific Source-Free Domain Adaptive Image Segmentation. CoRR abs/2203.15792 (2022) - [i14]Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel:
SAR Despeckling Using Overcomplete Convolutional Networks. CoRR abs/2205.15906 (2022) - [i13]Aimon Rahman, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel:
Orientation-guided Graph Convolutional Network for Bone Surface Segmentation. CoRR abs/2206.08481 (2022) - [i12]Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel:
Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency. CoRR abs/2206.08936 (2022) - 2021
- [i11]Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel:
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation. CoRR abs/2102.10662 (2021) - [i10]Pengfei Guo, Jeya Maria Jose Valanarasu, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel:
Over-and-Under Complete Convolutional RNN for MRI Reconstruction. CoRR abs/2106.08886 (2021) - [i9]Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction. CoRR abs/2107.02630 (2021) - [i8]Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza, Vishal M. Patel:
Image Fusion Transformer. CoRR abs/2107.09011 (2021) - [i7]Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel:
SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving. CoRR abs/2109.07701 (2021) - [i6]Jeya Maria Jose Valanarasu, Christina Chen, Vishal M. Patel:
R2D: Learning Shadow Removal to Enhance Fine-Context Shadow Detection. CoRR abs/2109.09609 (2021) - [i5]Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel:
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions. CoRR abs/2111.14813 (2021) - 2020
- [i4]Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel:
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation. CoRR abs/2010.01663 (2020) - [i3]Rajeev Yasarla, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Exploring Overcomplete Representations for Single Image Deraining using CNNs. CoRR abs/2010.10661 (2020) - [i2]Jeya Maria Jose Valanarasu, Vishal M. Patel:
Overcomplete Deep Subspace Clustering Networks. CoRR abs/2011.08306 (2020) - [i1]Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel:
Overcomplete Representations Against Adversarial Videos. CoRR abs/2012.04262 (2020)
Coauthor Index
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