no code implementations • 2 May 2024 • Abdoul Aziz Amadou, Vivek Singh, Florin C. Ghesu, Young-Ho Kim, Laura Stanciulescu, Harshitha P. Sai, Puneet Sharma, Alistair Young, Ronak Rajani, Kawal Rhode
Transesophageal echocardiography (TEE) plays a pivotal role in cardiology for diagnostic and interventional procedures.
no code implementations • 11 Apr 2024 • Jinkyung Park, Pamela Wisniewski, Vivek Singh
Therefore, we provide some of the early benefits and challenges of using LLMs-based tools for risk annotation and suggest future directions for the HCI research community to leverage LLMs as research tools to facilitate human-AI collaboration in contextualized online data annotation.
no code implementations • 3 Apr 2024 • Jinkyung Park, Vivek Singh, Pamela Wisniewski
Following the recent release of various Artificial Intelligence (AI) based Conversation Agents (CAs), adolescents are increasingly using CAs for interactive knowledge discovery on sensitive topics, including mental and sexual health topics.
no code implementations • 29 Feb 2024 • Vivek Singh, Shailza Sharma, Fabio Cuzzolin
This paper presents a novel feature-boosting network that gathers spatial context from multiple levels of feature extraction and computes the attention weights for each level of representation to generate the final class labels.
no code implementations • 9 Feb 2024 • Abdoul Aziz Amadou, Laura Peralta, Paul Dryburgh, Paul Klein, Kaloian Petkov, Richard James Housden, Vivek Singh, Rui Liao, Young-Ho Kim, Florin Christian Ghesu, Tommaso Mansi, Ronak Rajani, Alistair Young, Kawal Rhode
However, the image quality varies with operator skills as acquiring and interpreting ultrasound images requires extensive training due to the imaging artefacts, the range of acquisition parameters and the variability of patient anatomies.
no code implementations • 18 Dec 2023 • Yifan Wu, Rohit Jena, Mehmet Gulsun, Vivek Singh, Puneet Sharma, James C. Gee
Coronary angiography is the gold standard imaging technique for studying and diagnosing coronary artery disease.
no code implementations • 1 Dec 2023 • Vivek Singh, Tharun Kumar Reddy
Drowsiness state of a driver is a topic of extensive discussion due to its significant role in causing traffic accidents.
no code implementations • 27 Sep 2023 • Brian Teixeira, Vivek Singh, Birgi Tamersoy, Andreas Prokein, Ankur Kapoor
We demonstrate the effectiveness of our method on a testing set of 110 pairs of depth data and CT scan, resulting in an average error of 5mm in estimating the isocenter, 13mm in determining the scan range, 10mm and 16mm in estimating the AP and lateral WED respectively.
no code implementations • 8 Aug 2023 • Izzeddin Teeti, Rongali Sai Bhargav, Vivek Singh, Andrew Bradley, Biplab Banerjee, Fabio Cuzzolin
The emerging field of action prediction plays a vital role in various computer vision applications such as autonomous driving, activity analysis and human-computer interaction.
no code implementations • 8 Jul 2022 • HaoYu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren
Machine learning techniques have been extensively studied for mask optimization problems, aiming at better mask printability, shorter turnaround time, better mask manufacturability, and so on.
no code implementations • 12 Mar 2022 • HaoYu Yang, Zongyi Li, Kumara Sastry, Saumyadip Mukhopadhyay, Mark Kilgard, Anima Anandkumar, Brucek Khailany, Vivek Singh, Haoxing Ren
Lithography simulation is a critical step in VLSI design and optimization for manufacturability.
no code implementations • 8 May 2020 • Walid Bekhtaoui, Ruhan Sa, Brian Teixeira, Vivek Singh, Klaus Kirchberg, Yao-jen Chang, Ankur Kapoor
Point cloud based methods have produced promising results in areas such as 3D object detection in autonomous driving.
1 code implementation • 2 Aug 2019 • Brian Teixeira, Birgi Tamersoy, Vivek Singh, Ankur Kapoor
Landmark localization is a challenging problem in computer vision with a multitude of applications.
Ranked #8 on Facial Landmark Detection on 300W
no code implementations • 29 Mar 2019 • Elena Balashova, Jiangping Wang, Vivek Singh, Bogdan Georgescu, Brian Teixeira, Ankur Kapoor
Automatic delineation and measurement of main organs such as liver is one of the critical steps for assessment of hepatic diseases, planning and postoperative or treatment follow-up.
no code implementations • 8 Nov 2018 • Xiaoxiao Li, Vivek Singh, Yifan Wu, Klaus Kirchberg, James Duncan, Ankur Kapoor
Tracking organ motion is important in image-guided interventions, but motion annotations are not always easily available.
no code implementations • 4 Aug 2018 • Elena Balashova, Vivek Singh, Jiangping Wang, Brian Teixeira, Terrence Chen, Thomas Funkhouser
We propose a new procedure to guide training of a data-driven shape generative model using a structure-aware loss function.
no code implementations • CVPR 2018 • Brian Teixeira, Vivek Singh, Terrence Chen, Kai Ma, Birgi Tamersoy, Yifan Wu, Elena Balashova, Dorin Comaniciu
Furthermore, the synthetic X-ray image is parametrized and can be manipulated by adjusting a set of body markers which are also generated during the X-ray image prediction.
no code implementations • CVPR 2016 • Venkatesh N. Murthy, Vivek Singh, Terrence Chen, R. Manmatha, Dorin Comaniciu
During the learning phase, starting from the root network node, DDN automatically builds a network that splits the data into disjoint clusters of classes which would be handled by the subsequent expert networks.