Jeya Maria Jose Valanarasu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 52

Top Topics

Convolutional Network

Diffusion Models

Top Venues

Publications

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 (2024)
Chih-Ying Liu, Jeya Maria Jose Valanarasu, Camila Gonzalez, Curtis P. Langlotz, Andrew Y. Ng, Sergios Gatidis
Unlocking Robust Segmentation Across All Age Groups via Continual Learning. CoRR (2024)
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 (2024)
Rajeev Yasarla, Jeya Maria Jose Valanarasu, Vishwanath S, Vishal M. Patel
Self-Supervised Denoising Transformer with Gaussian Process. WACV (2024)
Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M. Patel
Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers. CoRR (2024)
Nithin Gopalakrishnan Nair, Jeya Maria Jose Valanarasu, Vishal M. Patel
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models. CoRR (2024)
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 (2024)
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 (2023)
Jeya Maria Jose Valanarasu, Vishal M. Patel
Fine-Context Shadow Detection using Shadow Removal. WACV (2023)
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 (2023)
Deepti Hegde, Jeya Maria Jose Valanarasu, Vishal M. Patel
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition. CoRR (2023)
Deepti Hegde, Jeya Maria Jose Valanarasu, Vishal M. Patel
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition. ICCV (Workshops) (2023)
Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel
Ambiguous Medical Image Segmentation Using Diffusion Models. CVPR (2023)
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)
Jeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS, Vishal M. Patel
On-the-Fly Test-time Adaptation for Medical Image Segmentation. MIDL (2023)
Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel
Ambiguous Medical Image Segmentation using Diffusion Models. CoRR (2023)
Jeya Maria Jose Valanarasu, Vishal M. Patel
UNeXt: MLP-Based Rapid Medical Image Segmentation Network. MICCAI (5) (2022)
Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel
Simultaneous Bone and Shadow Segmentation Network Using Task Correspondence Consistency. MICCAI (4) (2022)
Vibashan VS, Jeya Maria Jose Valanarasu, Vishal M. Patel
Target and Task specific Source-Free Domain Adaptive Image Segmentation. CoRR (2022)
Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions. CVPR (2022)
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) (2022)
Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
SAR Despeckling Using Overcomplete Convolutional Networks. IGARSS (2022)
Aimon Rahman, Jeya Maria Jose Valanarasu, Ilker Hacihaliloglu, Vishal M. Patel
Simultaneous Bone and Shadow Segmentation Network using Task Correspondence Consistency. CoRR (2022)
Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
Transformer-based SAR Image Despeckling. CoRR (2022)
Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
Transformer-Based SAR Image Despeckling. IGARSS (2022)
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)
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 (2022)
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 (2022)
Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza, Vishal M. Patel
Image Fusion Transformer. ICIP (2022)
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 (2022)
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)
Jeya Maria Jose Valanarasu, Pengfei Guo, Vibashan VS, Vishal M. Patel
On-the-Fly Test-time Adaptation for Medical Image Segmentation. CoRR (2022)
Malsha V. Perera, Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
SAR Despeckling Using Overcomplete Convolutional Networks. CoRR (2022)
Jeya Maria Jose Valanarasu, Vishal M. Patel
UNeXt: MLP-based Rapid Medical Image Segmentation Network. CoRR (2022)
Wele Gedara Chaminda Bandara, Jeya Maria Jose Valanarasu, Vishal M. Patel
Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction. CoRR (2021)
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 (2021)
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 (2021)
Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions. CoRR (2021)
Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation. CoRR (2021)
Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza, Vishal M. Patel
Image Fusion Transformer. CoRR (2021)
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)
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) (2021)
Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel
Overcomplete Representations Against Adversarial Videos. ICIP (2021)
Jeya Maria Jose Valanarasu, Christina Chen, Vishal M. Patel
R2D: Learning Shadow Removal to Enhance Fine-Context Shadow Detection. CoRR (2021)
Jeya Maria Jose Valanarasu, Vishal M. Patel
Overcomplete Deep Subspace Clustering Networks. WACV (2021)
Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation. MICCAI (1) (2021)
Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel
KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation. CoRR (2020)
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) (2020)
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)
Jeya Maria Jose Valanarasu, Vishal M. Patel
Overcomplete Deep Subspace Clustering Networks. CoRR (2020)
Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel
Overcomplete Representations Against Adversarial Videos. CoRR (2020)
Rajeev Yasarla, Jeya Maria Jose Valanarasu, Vishal M. Patel
Exploring Overcomplete Representations for Single Image Deraining using CNNs. CoRR (2020)