no code implementations • 4 Dec 2023 • Mulham Fawakherji, Eduard Vazquez, Pasquale Giampa, Binod Bhattarai
In this study, we investigate the effectiveness of two computer vision data augmentation techniques: cutout and cutmix, for text augmentation in multi-modal person re-identification.
no code implementations • 8 Oct 2023 • Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Yash Raj Shrestha, Binod Bhattarai
Coronary Artery Diseases(CADs) though preventable are one of the leading causes of death and disability.
no code implementations • 7 Oct 2023 • Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Yash Raj Shrestha, Binod Bhattarai
Coronary Artery Diseases although preventable are one of the leading cause of mortality worldwide.
2 code implementations • 13 Feb 2023 • Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy
This paper presents the CholecTriplet2022 challenge, which extends surgical action triplet modeling from recognition to detection.
Ranked #1 on Action Triplet Detection on CholecT50 (Challenge)
1 code implementation • 24 Jun 2022 • Sophia Bano, Alessandro Casella, Francisco Vasconcelos, Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Meriaudeau, Chiara Lena, Ilaria Anita Cintorrino, Gaia Romana De Paolis, Jessica Biagioli, Daria Grechishnikova, Jing Jiao, Bizhe Bai, Yanyan Qiao, Binod Bhattarai, Rebati Raman Gaire, Ronast Subedi, Eduard Vazquez, Szymon Płotka, Aneta Lisowska, Arkadiusz Sitek, George Attilakos, Ruwan Wimalasundera, Anna L David, Dario Paladini, Jan Deprest, Elena De Momi, Leonardo S Mattos, Sara Moccia, Danail Stoyanov
For this challenge, we released a dataset of 2060 images, pixel-annotated for vessels, tool, fetus and background classes, from 18 in-vivo TTTS fetoscopy procedures and 18 short video clips.
1 code implementation • 2 Apr 2022 • Binod Bhattarai, Ronast Subedi, Rebati Raman Gaire, Eduard Vazquez, Danail Stoyanov
We employed our method on two powerful and widely used semantic segmentation networks: UNet and U2Net to train in a multi-task setup.
no code implementations • 16 Sep 2020 • Tomáš Sixta, Julio C. S. Jacques Junior, Pau Buch-Cardona, Neil M. Robertson, Eduard Vazquez, Sergio Escalera
This work summarizes the 2020 ChaLearn Looking at People Fair Face Recognition and Analysis Challenge and provides a description of the top-winning solutions and analysis of the results.
no code implementations • 20 Feb 2019 • Mehryar Emambakhsh, Alessandro Bay, Eduard Vazquez
Filtering point targets in highly cluttered and noisy data frames can be very challenging, especially for complex target motions.
no code implementations • 12 Feb 2019 • Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli
When the confidence is low, we avoid updating the object's position through the feature map; instead, the tracker passes to a single-frame failure mode, during which the patch's low-level visual content is used to swiftly update the object's position, before recovering from the target loss in the next frame.
no code implementations • 7 Nov 2018 • Roshanak Zakizadeh, Yu Qian, Michele Sasdelli, Eduard Vazquez
In this paper, we present a method for instance ranking and retrieval at fine-grained level based on the global features extracted from a multi-attribute recognition model which is not dependent on landmarks information or part-based annotations.
no code implementations • 1 Nov 2018 • Mehryar Emambakhsh, Alessandro Bay, Eduard Vazquez
Defining a multi-target motion model, which is an important step of tracking algorithms, can be very challenging.
1 code implementation • 31 Jul 2018 • Roshanak Zakizadeh, Michele Sasdelli, Yu Qian, Eduard Vazquez
After selecting categories with sufficient number of images for training, we remove very scarce attributes and merge the duplicate ones in each category, then we clean the dataset based on the new list of attributes.
no code implementations • 20 Jun 2018 • Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez, Michele Sasdelli
In the case of a low confidence, the position update is rejected and the tracker passes to a single-frame failure mode, during which the patch low-level visual content is used to swiftly update the object position, before recovering from the target loss in the next frame.
no code implementations • 19 Jun 2018 • Roshanak Zakizadeh, Michele Sasdelli, Yu Qian, Eduard Vazquez
In this paper, we address the extraction of the fine-grained attributes of an instance as a `multi-attribute classification' problem.
no code implementations • 18 Jun 2018 • Mehryar Emambakhsh, Alessandro Bay, Eduard Vazquez
This paper addresses the problem of fixed motion and measurement models for multi-target filtering using an adaptive learning framework.