Radhika Dua

19 papers A* 1A 1B 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation.
CoRR
Radhika Dua, Young Joon Fred Kwon, Siddhant Dogra, Daniel Freedman, Diana Ruan, Motaz Nashawaty, Danielle Rigau, Daniel Alexander Alber, Kang Zhang, Kyunghyun Cho, Eric Karl Oermann
2025 J jnl
Generalist Foundation Models Are Not Clinical Enough for Hospital Operations.
CoRR
Lavender Y. Jiang, Angelica Chen, Xu Han, Xujin Chris Liu, Radhika Dua, Kevin Eaton, Frederick Wolff, Robert Steele, Jeff Zhang, Anton Alyakin, Qingkai Pan, Yanbing Chen, Karl L. Sangwon, Daniel Alexander Alber, Jaden Stryker, Jin Vivian Lee, Yindalon Aphinyanaphongs, Kyunghyun Cho, Eric Karl Oermann
2024 J jnl
Agricultural Landscape Understanding At Country-Scale.
CoRR
Radhika Dua, Nikita Saxena, Aditi Agarwal, Alex Wilson, Gaurav Singh, Hoang Tran, Ishan Deshpande, Amandeep Kaur, Gaurav Aggarwal, Chandan Nath, Arnab Basu, Vishal Batchu, Sharath Holla, Bindiya Kurle, Olana Missura, Rahul Aggarwal, Shubhika Garg, Nishi Shah, Avneet Singh, Dinesh Tewari, Agata Dondzik, Bharat Adsul, Milind A. Sohoni, Asim Rama Praveen, Aaryan Dangi, Lisan Kadivar, E. Abhishek, Niranjan Sudhansu, Kamlakar Hattekar, Sameer Datar, Musty Krishna Chaithanya, Anumas Ranjith Reddy, Aashish Kumar, Betala Laxmi Tirumala, Alok Talekar
2023 A conf
Task Agnostic and Post-hoc Unseen Distribution Detection.
WACV
Radhika Dua, Seongjun Yang, Yixuan Li, Edward Choi
2023 — conf
Towards the Practical Utility of Federated Learning in the Medical Domain.
CHIL
Hyeonji Hwang, Seongjun Yang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi
2022 — conf
Automatic Detection of Noisy Electrocardiogram Signals Without Explicit Noise Labels.
ICPR Workshops (2)
Radhika Dua, Jiyoung Lee, Joon-Myoung Kwon, Edward Choi
2022 J jnl
Automatic Detection of Noisy Electrocardiogram Signals without Explicit Noise Labels.
CoRR
Radhika Dua, Jiyoung Lee, Joon-Myoung Kwon, Edward Choi
2022 A* conf
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes.
CVPR
Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar
2022 J jnl
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes.
CoRR
Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar
2022 B conf
Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity.
COLING
Taehee Kim, ChaeHun Park, Jimin Hong, Radhika Dua, Edward Choi, Jaegul Choo
2022 J jnl
Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity.
CoRR
Taehee Kim, ChaeHun Park, Jimin Hong, Radhika Dua, Edward Choi, Jaegul Choo
2022 J jnl
Task Agnostic and Post-hoc Unseen Distribution Detection.
CoRR
Radhika Dua, Seongjun Yang, Yixuan Li, Edward Choi
2022 J jnl
Towards the Practical Utility of Federated Learning in the Medical Domain.
CoRR
Seongjun Yang, Hyeonji Hwang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi
2021 — conf
Beyond VQA: Generating Multi-Word Answers and Rationales to Visual Questions.
CVPR Workshops
Radhika Dua, Sai Srinivas Kancheti, Vineeth N. Balasubramanian
2021 J jnl
Natural Attribute-based Shift Detection.
CoRR
Jeonghoon Park, Jimin Hong, Radhika Dua, Daehoon Gwak, Yixuan Li, Jaegul Choo, Edward Choi
2020 J jnl
Beyond VQA: Generating Multi-word Answer and Rationale to Visual Questions.
CoRR
Radhika Dua, Sai Srinivas Kancheti, Vineeth N. Balasubramanian
2019 — conf
Real Time Attention Based Bidirectional Long Short-Term Memory Networks for Air Pollution Forecasting.
BigDataService
Radhika Dua, Divyam Madaan, Prerana Mukherjee, Brejesh Lall
2019 — conf
VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting.
GlobalSIP
Divyam Madaan, Radhika Dua, Prerana Mukherjee, Brejesh Lall
2019 J jnl
VayuAnukulani: Adaptive Memory Networks for Air Pollution Forecasting.
CoRR
Divyam Madaan, Radhika Dua, Prerana Mukherjee, Brejesh Lall