activity
20192022
most citedTowards the Practical Utility of Federated Learning in the Medical Domain

15 citations · 18 across the 6 of their papers we have counts for

collaborators

7 papers

eess.SP2022

Automatic Detection of Noisy Electrocardiogram Signals without Explicit Noise Labels

Radhika Dua, Jiyoung Lee, Joon-myoung Kwon +1

Electrocardiogram (ECG) signals are beneficial in diagnosing cardiovascular diseases, which are one of the leading causes of death. However, they are often contaminated by noise ar…

cs.LG2022

Task Agnostic and Post-hoc Unseen Distribution Detection

Radhika Dua, Seongjun Yang, Yixuan Li +1

Despite the recent advances in out-of-distribution(OOD) detection, anomaly detection, and uncertainty estimation tasks, there do not exist a task-agnostic and post-hoc approach. To…

cs.LG2022★ 15 cited

Towards the Practical Utility of Federated Learning in the Medical Domain

Seongjun Yang, Hyeonji Hwang, Daeyoung Kim +4

Federated learning (FL) is an active area of research. One of the most suitable areas for adopting FL is the medical domain, where patient privacy must be respected. Previous resea…

cs.CV2022★ 1 cited

ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes

Rahul Sajnani, Adrien Poulenard, Jivitesh Jain +3

Progress in 3D object understanding has relied on manually canonicalized shape datasets that contain instances with consistent position and orientation (3D pose). This has made it…

cs.LG2021

Natural Attribute-based Shift Detection

Jeonghoon Park, Jimin Hong, Radhika Dua +4

Despite the impressive performance of deep networks in vision, language, and healthcare, unpredictable behaviors on samples from the distribution different than the training distri…

cs.CV2020★ 2 cited

Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions

Radhika Dua, Sai Srinivas Kancheti, Vineeth N Balasubramanian

Visual Question Answering is a multi-modal task that aims to measure high-level visual understanding. Contemporary VQA models are restrictive in the sense that answers are obtained…

cs.CV2019

VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting

Divyam Madaan, Radhika Dua, Prerana Mukherjee +1

Air pollution is the leading environmental health hazard globally due to various sources which include factory emissions, car exhaust and cooking stoves. As a precautionary measure…