McDuff, Daniel

39 publications

ICLRW 2025 PARSE-Ego4D: Personal Action Recommendation Suggestions for Egocentric Videos Steven Abreu, Tiffany D Do, Karan Ahuja, Eric J Gonzalez, Lee Payne, Daniel McDuff, Mar Gonzalez-Franco
ICLRW 2025 PARSE-Ego4D: Toward Bidirectionally Aligned Action Recommendations for Egocentric Videos Steven Abreu, Tiffany D Do, Karan Ahuja, Eric J Gonzalez, Lee Payne, Daniel McDuff, Mar Gonzalez-Franco
NeurIPS 2025 RADAR: Benchmarking Language Models on Imperfect Tabular Data Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Maxwell A Xu, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak Patel, Hamid Palangi, Xuhai Xu, Daniel McDuff, Tim Althoff, Xin Liu
ICLR 2025 Scaling Wearable Foundation Models Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. Tailor, Jacob Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Samy Abdel-Ghaffar, Daniel McDuff
NeurIPS 2025 SensorLM: Learning the Language of Wearable Sensors Yuwei Zhang, Kumar Ayush, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Maxwell A Xu, Ahmed Metwally, Jinhua Xu, Jake Garrison, Xuhai Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang
WACV 2024 BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements Girish Narayanswamy, Yujia Liu, Yuzhe Yang, Chengqian Ma, Xin Liu, Daniel McDuff, Shwetak Patel
ICMLW 2024 Cognitive Assessment of Language Models Daniel McDuff, David Munday, Xin Liu, Isaac Galatzer-Levy
CHIL 2024 Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data Yubin Kim, Xuhai Xu, Daniel McDuff, Cynthia Breazeal, Hae Won Park
CVPRW 2024 How Suboptimal Is Training rPPG Models with Videos and Targets from Different Body Sites? Björn Braun, Daniel McDuff, Christian Holz
NeurIPS 2024 MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making Yubin Kim, Chanwoo Park, Hyewon Jeong, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Hyeonhoon Lee, Marzyeh Ghassemi, Cynthia Breazeal, Hae Won Park
WACV 2024 Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement Akshay Paruchuri, Xin Liu, Yulu Pan, Shwetak Patel, Daniel McDuff, Soumyadip Sengupta
ICML 2024 Position: Standardization of Behavioral Use Clauses Is Necessary for the Adoption of Responsible Licensing of AI Daniel Mcduff, Tim Korjakow, Scott Cambo, Jesse Josua Benjamin, Jenny Lee, Yacine Jernite, Carlos Muñoz Ferrandis, Aaron Gokaslan, Alek Tarkowski, Joseph Lindley, A. Feder Cooper, Danish Contractor
TMLR 2024 The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources Shayne Longpre, Stella Biderman, Alon Albalak, Hailey Schoelkopf, Daniel McDuff, Sayash Kapoor, Kevin Klyman, Kyle Lo, Gabriel Ilharco, Nay San, Maribeth Rauh, Aviya Skowron, Bertie Vidgen, Laura Weidinger, Arvind Narayanan, Victor Sanh, David Ifeoluwa Adelani, Percy Liang, Rishi Bommasani, Peter Henderson, Sasha Luccioni, Yacine Jernite, Luca Soldaini
NeurIPSW 2024 Towards a Personal Health Large Language Model Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Zhun Yang, Yun Liu, Shyam A. Tailor, Tim Althoff, John B Hernandez, Yossi Matias, Greg Corrado, Shwetak Patel, Shravya Shetty, Jiening Zhan, Daniel McDuff, Cory Y McLean
WACV 2023 EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Cardiac Measurement Xin Liu, Brian Hill, Ziheng Jiang, Shwetak Patel, Daniel McDuff
ICLR 2023 SimPer: Simple Self-Supervised Learning of Periodic Targets Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff
NeurIPS 2023 rPPG-Toolbox: Deep Remote PPG Toolbox Xin Liu, Girish Narayanswamy, Akshay Paruchuri, Xiaoyu Zhang, Jiankai Tang, Yuzhe Zhang, Roni Sengupta, Shwetak Patel, Yuntao Wang, Daniel McDuff
CLeaR 2022 CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Alexander Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor
AAAI 2022 DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents Tsu-Jui Fu, William Yang Wang, Daniel McDuff, Yale Song
CVPRW 2022 Federated Remote Physiological Measurement with Imperfect Data Xin Liu, Mingchuan Zhang, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff
NeurIPS 2022 SCAMPS: Synthetics for Camera Measurement of Physiological Signals Daniel McDuff, Miah Wander, Xin Liu, Brian Hill, Javier Hernandez, Jonathan Lester, Tadas Baltrusaitis
ICLR 2021 Active Contrastive Learning of Audio-Visual Video Representations Shuang Ma, Zhaoyang Zeng, Daniel McDuff, Yale Song
ICCVW 2021 Beat-to-Beat Cardiac Pulse Rate Measurement from Video Brian L. Hill, Xin Liu, Daniel McDuff
CVPRW 2021 Combining Magnification and Measurement for Non-Contact Cardiac Monitoring Ewa Magdalena Nowara, Daniel McDuff, Ashok Veeraraghavan
NeurIPS 2021 Contrastive Learning of Global and Local Video Representations Shuang Ma, Zhaoyang Zeng, Daniel McDuff, Yale Song
ICCV 2021 The Benefit of Distraction: Denoising Camera-Based Physiological Measurements Using Inverse Attention Ewa M. Nowara, Daniel McDuff, Ashok Veeraraghavan
CVPRW 2020 A Meta-Analysis of the Impact of Skin Type and Gender on Non-Contact Photoplethysmography Measurements Ewa Magdalena Nowara, Daniel McDuff, Ashok Veeraraghavan
NeurIPS 2020 Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement Xin Liu, Josh Fromm, Shwetak Patel, Daniel McDuff
NeurIPS 2019 Characterizing Bias in Classifiers Using Generative Models Daniel McDuff, Shuang Ma, Yale Song, Ashish Kapoor
ICCVW 2019 Combating the Impact of Video Compression on Non-Contact Vital Sign Measurement Using Supervised Learning Ewa Magdalena Nowara, Daniel McDuff
ICLR 2019 Neural TTS Stylization with Adversarial and Collaborative Games Shuang Ma, Daniel Mcduff, Yale Song
ICLR 2019 Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards Daniel McDuff, Ashish Kapoor
CVPRW 2018 Deep Super Resolution for Recovering Physiological Information from Videos Daniel McDuff
ECCV 2018 DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks Weixuan Chen, Daniel McDuff
IJCAI 2016 Driver Frustration Detection from Audio and Video in the Wild Irman Abdic, Lex Fridman, Daniel McDuff, Erik Marchi, Bryan Reimer, Björn W. Schuller
CVPRW 2016 Real-Time Physiological Measurement and Visualization Using a Synchronized Multi-Camera System Otkrist Gupta, Daniel McDuff, Ramesh Raskar
ICCVW 2015 Facial Action Unit Detection Using Active Learning and an Efficient Non-Linear Kernel Approximation Thibaud Senechal, Daniel McDuff, Rana El Kaliouby
CVPRW 2013 Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild" Daniel McDuff, Rana El Kaliouby, Thibaud Senechal, May Amr, Jeffrey F. Cohn, Rosalind W. Picard
CVPRW 2010 Affect Valence Inference from Facial Action Unit Spectrograms Daniel McDuff, Rana El Kaliouby, Karim Kassam, Rosalind W. Picard