Vision & Image Understanding Lab lands numerous papers at MICCAI and ECCV conferences

July 20, 2020

The Vision & Image Understanding (VIU) Lab – which ECE assistant professor Vishal Patel is the PI for – has recently had a large number of papers accepted to conferences. The group had all six papers it submitted to the 23rd International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI) get accepted. The VIU Lab also had five papers get accepted to the 16th European Conference on Computer Vision (ECCV).

“We are very excited to have these many papers accepted to MICCAI and ECCV,” Patel said.

Vision & Image Understanding Lab

Among the lab members to have papers get accepted are PhD candidates Puyang Wang, Pengfei Guo, Jeya Maria Jose, Vishwanath Sindagi, Poojan Oza, Rajeev Yasarla and Ahmed Alsinan. Visiting student Rui Shao also had a paper get accepted, as did VIU alum Pramuditha Perera.

 

 

 

 

Below are the papers that were accepted to the two different conferences.

MICCAI 2020 Papers:

1) J.M.J Valanarasu, V.A Sindagi, I.Hacihaliloglu , V.M.Patel ; “KiU-Net: Towards Accurate Segmentation of Biomedical Images using Overcomplete Representations”, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru ,2020.
2) P. Guo, P. Wang, J. Zhou, V. M. Patel, and S. Jiang, “Lesion Mask-based Simultaneous Synthesis of Anatomic and Molecular MR Images using a GAN,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, 2020.
3) P. Wang, P. Guo, J. Lu, J. Zhou, S. Jiang, and V. M. Patel, “Improving Amide Proton Transfer-weighted MRI Reconstruction using T2-weighted Images,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, 2020.
4) P. Wang, M. Vives, V. M. Patel, and I. Hacihaliloglu, “Robust Bone Shadow Segmentation from 2D Ultrasound Through Task Decomposition,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, 2020.
5) P. Yuan, A. Mobiny, J. Jahanipour, X. Li, P. Antonio, B. Roysam, V. M. Patel, M. Dragan, and H. V. Nguyen, “Few is enough: task-augmented active meta-learning for brain cell classification,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, 2020.
6) A Alsinan, C. Rule, M. Vives, V. M. Patel, and I. Hacihaliloglu, “GAN-based realistic bone ultrasound image and label synthesis for improved segmentation,” Medical Image Computing and Computer Assisted Intervention (MICCAI), Lima, Peru, 2020.
ECCV 2020 Papers:
1) V. A. Sindagi, P. Oza, R. Yasarla and V. M. Patel, “Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions,” Proceedings of the European Conference on Computer Vision (ECCV), Glasgow, Scotland, 2020. (pdf)
2) P. Oza, H. V. Nguyen and V. M. Patel, “Multiple Class Novelty Detection Under Data Distribution Shift,” Proceedings of the European Conference on Computer Vision (ECCV), Glasgow, Scotland, 2020.
3) P. Oza and V. M. Patel, “Utilizing Patch-level Activity Patterns for Multiple Class Novelty Detection,” Proceedings of the European Conference on Computer Vision (ECCV), Glasgow, Scotland, 2020.
4) R Shao, P. Perera, P. C. Yuen and V. M. Patel, “Open-set Adversarial Defense,” Proceedings of the European Conference on Computer Vision (ECCV), Glasgow, Scotland, 2020.

5) V. A. Sindagi, R. Yasarla and V. M. Patel, “Learning to Count in the Crowd from Limited Labeled Data,” Proceedings of the European Conference on Computer Vision (ECCV), Glasgow, Scotland, 2020.

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