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ORCIDDaniel McDuff
Daniel J. McDuff
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- affiliation: Microsoft Research, Redmond, WA, USA
- affiliation: Massachusetts Institute of Technology (MIT), Media Lab, Cambridge, MA, USA
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2020 – today
- 2024
[j31]Lisa O'Bryan, Tim Oxendahl, Xu Chen, Daniel McDuff, Santiago Segarra
, Matthew A. Wettergreen, Margaret E. Beier, Ashutosh Sabharwal:
Objective Communication Patterns Associated With Team Member Effectiveness in Real-World Virtual Teams. Hum. Factors 66(5): 1414-1430 (2024)- [j30]Zachary Englhardt, Chengqian Ma, Margaret E. Morris, Chun-Cheng Chang, Xuhai Xu, Lianhui Qin, Daniel McDuff, Xin Liu, Shwetak N. Patel, Vikram Iyer:
From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(2): 56:1-56:25 (2024) - [c107]Nazanin Andalibi, Luke Stark, Daniel McDuff, Rosalind W. Picard, Jonathan Gratch, Noura Howell:
What should we do with Emotion AI? Towards an Agenda for the Next 30 Years. CSCW Companion 2024: 98-101 - [c106]Björn Braun, Daniel McDuff, Christian Holz:
How Suboptimal is Training rPPG Models with Videos and Targets from Different Body Sites? CVPR Workshops 2024: 410-418 - [c105]Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob E. Sunshine, Tim Althoff, Xin Liu, Daniel McDuff:
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning. EMNLP 2024: 11712-11733 - [c104]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:
Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI. ICML 2024 - [c103]Marta Wilczkowiak, Ken Jakubzak, James Clemoes, Cornelia Treptow, Michaela Porubanova, Kerry Read, Daniel McDuff, Marina Kuznetsova, Sean Rintel, Mar González-Franco:
Ecological Validity and the Evaluation of Avatar Facial Animation Noise. VR Workshops 2024: 72-79 - [c102]Akshay Paruchuri, Xin Liu, Yulu Pan, Shwetak N. Patel, Daniel McDuff, Soumyadip Sengupta:
Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement. WACV 2024: 5921-5930 - [c101]Girish Narayanswamy, Yujia Liu, Yuzhe Yang, Chengqian Ma, Xin Liu, Daniel McDuff, Shwetak N. Patel:
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements. WACV 2024: 7899-7909 - [i74]Yubin Kim, Xuhai Xu, Daniel McDuff, Cynthia Breazeal, Hae Won Park:
Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data. CoRR abs/2401.06866 (2024) - [i73]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:
On the Standardization of Behavioral Use Clauses and Their Adoption for Responsible Licensing of AI. CoRR abs/2402.05979 (2024) - [i72]Björn Braun, Daniel McDuff, Christian Holz:
How Suboptimal is Training rPPG Models with Videos and Targets from Different Body Sites? CoRR abs/2403.10582 (2024) - [i71]Hannah R. Lawrence, Renee A. Schneider, Susan B. Rubin, Maja J. Mataric, Daniel J. McDuff, Megan Jones Bell:
The opportunities and risks of large language models in mental health. CoRR abs/2403.14814 (2024) - [i70]Yubin Kim, Chanwoo Park, Hyewon Jeong, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Cynthia Breazeal, Hae Won Park:
Adaptive Collaboration Strategy for LLMs in Medical Decision Making. CoRR abs/2404.15155 (2024) - [i69]Khaled Saab, Tao Tu, Wei-Hung Weng, Ryutaro Tanno, David Stutz, Ellery Wulczyn, Fan Zhang, Tim Strother, Chunjong Park, Elahe Vedadi, Juanma Zambrano Chaves, Szu-Yeu Hu, Mike Schaekermann, Aishwarya Kamath, Yong Cheng, David G. T. Barrett, Cathy Cheung, Basil Mustafa, Anil Palepu, Daniel McDuff, Le Hou, Tomer Golany, Luyang Liu, Jean-Baptiste Alayrac, Neil Houlsby, Nenad Tomasev, Jan Freyberg, Charles Lau, Jonas Kemp, Jeremy Lai, Shekoofeh Azizi, Kimberly Kanada, SiWai Man, Kavita Kulkarni, Ruoxi Sun, Siamak Shakeri, Luheng He, Benjamin Caine, Albert Webson, Natasha Latysheva, Melvin Johnson, Philip Andrew Mansfield, Jian Lu, Ehud Rivlin, Jesper Anderson, Bradley Green, Renee Wong, Jonathan Krause, Jonathon Shlens, Ewa Dominowska, S. M. Ali Eslami, Katherine Chou, Claire Cui, Oriol Vinyals, Koray Kavukcuoglu, James Manyika, Jeff Dean, Demis Hassabis, Yossi Matias, Dale R. Webster, Joelle K. Barral, Greg Corrado, Christopher Semturs, S. Sara Mahdavi, Juraj Gottweis, Alan Karthikesalingam, Vivek Natarajan:
Capabilities of Gemini Models in Medicine. CoRR abs/2404.18416 (2024) - [i68]Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs, Javier Perez Matos, Yun Liu, Erik Schenck, Nova Hammerquist, Jake Sunshine, Shyam Tailor, Kumar Ayush, Hao-Wei Su, Qian He, Cory Y. McLean, Mark Malhotra, Shwetak N. Patel, Jiening Zhan, Tim Althoff, Daniel McDuff, Xin Liu:
Transforming Wearable Data into Health Insights using Large Language Model Agents. CoRR abs/2406.06464 (2024) - [i67]Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Nicholas A. Furlotte, Zhun Yang, Chace Lee, Erik Schenck, Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant, Ryan G. Gomes, Allen Jiang, Roy Lee, Yun Liu, Javier Perez Matos, Jameson K. Rogers, Cathy Speed, Shyam Tailor, Megan Walker, Jeffrey Yu, Tim Althoff, Conor Heneghan, John Hernandez, Mark Malhotra, Leor Stern, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Jiening Zhan, Shruthi Prabhakara, Daniel McDuff, Cory Y. McLean:
Towards a Personal Health Large Language Model. CoRR abs/2406.06474 (2024) - [i66]Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob E. Sunshine, Tim Althoff, Xin Liu, Daniel McDuff:
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning. CoRR abs/2406.12830 (2024) - [i65]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:
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources. CoRR abs/2406.16746 (2024) - [i64]Steven Abreu, Tiffany D. Do, Karan Ahuja, Eric J. Gonzalez, Lee Payne, Daniel McDuff, Mar González-Franco:
PARSE-Ego4D: Personal Action Recommendation Suggestions for Egocentric Videos. CoRR abs/2407.09503 (2024) - [i63]Thomas J. Vandal, Kate Duffy, Daniel McDuff, Yoni Nachmany, Chris Hartshorn:
Global atmospheric data assimilation with multi-modal masked autoencoders. CoRR abs/2407.11696 (2024) - [i62]Laleh Jalilian, Daniel McDuff, Achuta Kadambi:
The Potential and Perils of Generative Artificial Intelligence for Quality Improvement and Patient Safety. CoRR abs/2407.16902 (2024) - [i61]Isaac R. Galatzer-Levy, David Munday, Jed McGiffin, Xin Liu, Danny Karmon, Ilia Labzovsky, Rivka Moroshko, Amir Zait, Daniel McDuff:
The Cognitive Capabilities of Generative AI: A Comparative Analysis with Human Benchmarks. CoRR abs/2410.07391 (2024) - [i60]Isaac R. Galatzer-Levy, Jed McGiffin, David Munday, Xin Liu, Danny Karmon, Ilia Labzovsky, Rivka Moroshko, Amir Zait, Daniel McDuff:
Evidence of Cognitive Deficits andDevelopmental Advances in Generative AI: A Clock Drawing Test Analysis. CoRR abs/2410.11756 (2024) - [i59]Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam Tailor, Jake Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff:
Scaling Wearable Foundation Models. CoRR abs/2410.13638 (2024) - [i58]Björn Braun, Daniel McDuff, Tadas Baltrusaitis, Paul Streli, Max Möbus, Christian Holz:
SympCam: Remote Optical Measurement of Sympathetic Arousal. CoRR abs/2410.20552 (2024) - [i57]Yubin Kim, Chanwoo Park, Hyewon Jeong, Cristina Grau-Vilchez, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Hyeonhoon Lee, Cynthia Breazeal, Hae Won Park:
A Demonstration of Adaptive Collaboration of Large Language Models for Medical Decision-Making. CoRR abs/2411.00248 (2024) - 2023
- [j29]Daniel McDuff:
Camera Measurement of Physiological Vital Signs. ACM Comput. Surv. 55(9): 176:1-176:40 (2023) - [j28]Ioannis T. Pavlidis, Theodora Chaspari, Daniel McDuff:
Editorial: Special Issue on Unobtrusive Physiological Measurement Methods for Affective Applications. IEEE Trans. Affect. Comput. 14(4): 2564-2566 (2023) - [c100]Daway Chou-Ren, Mike Winters, Javier Hernandez, Daniel McDuff, Jina Suh, Vanessa Rodriguez, Gonzalo A. Ramos, Mary Czerwinski:
Do You Even Need Sensors?: Synthetic Biomusic as an Empathic Technology. ACII 2023: 1-8 - [c99]Borui Wang, Qiuyuan Huang, Budhaditya Deb, Aaron Halfaker, Liqun Shao, Daniel McDuff, Ahmed Hassan Awadallah, Dragomir Radev, Jianfeng Gao:
Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models. ACL (Findings) 2023: 1762-1773 - [c98]Jiankai Tang, Kequan Chen, Yuntao Wang, Yuanchun Shi, Shwetak N. Patel, Daniel McDuff, Xin Liu:
MMPD: Multi-Domain Mobile Video Physiology Dataset. EMBC 2023: 1-5 - [c97]Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff:
SimPer: Simple Self-Supervised Learning of Periodic Targets. ICLR 2023 - [c96]Xin Liu, Girish Narayanswamy, Akshay Paruchuri, Xiaoyu Zhang, Jiankai Tang, Yuzhe Zhang, Roni Sengupta, Shwetak N. Patel, Yuntao Wang, Daniel McDuff:
rPPG-Toolbox: Deep Remote PPG Toolbox. NeurIPS 2023 - [c95]Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff:
EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Cardiac Measurement. WACV 2023: 4997-5006 - [i56]Jiankai Tang, Kequan Chen, Yuntao Wang, Yuanchun Shi, Shwetak N. Patel, Daniel McDuff, Xin Liu:
MMPD: Multi-Domain Mobile Video Physiology Dataset. CoRR abs/2302.03840 (2023) - [i55]Girish Narayanswamy, Yujia Liu, Yuzhe Yang, Chengqian Ma, Xin Liu, Daniel McDuff, Shwetak N. Patel:
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements. CoRR abs/2303.11573 (2023) - [i54]Akshay Paruchuri, Xin Liu, Yulu Pan, Shwetak N. Patel, Daniel McDuff, Soumyadip Sengupta:
Motion Matters: Neural Motion Transfer for Better Camera Physiological Sensing. CoRR abs/2303.12059 (2023) - [i53]Daniel McDuff, Theodore Curran, Achuta Kadambi:
Synthetic Data in Healthcare. CoRR abs/2304.03243 (2023) - [i52]Moloud Abdar, Meenakshi Kollati, Swaraja Kuraparthi, Farhad Pourpanah, Daniel McDuff, Mohammad Ghavamzadeh, Shuicheng Yan, Abduallah Mohamed, Abbas Khosravi, Erik Cambria, Fatih Porikli:
A Review of Deep Learning for Video Captioning. CoRR abs/2304.11431 (2023) - [i51]Suril Mehta, Nipun Kwatra, Mohit Jain, Daniel McDuff:
"Can't Take the Pressure?": Examining the Challenges of Blood Pressure Estimation via Pulse Wave Analysis. CoRR abs/2304.14916 (2023) - [i50]Xin Liu, Daniel McDuff, Geza Kovacs, Isaac R. Galatzer-Levy, Jacob E. Sunshine, Jiening Zhan, Ming-Zher Poh, Shun Liao, Paolo Di Achille, Shwetak N. Patel:
Large Language Models are Few-Shot Health Learners. CoRR abs/2305.15525 (2023) - [i49]Daniel McDuff, Andrew Barakat, Ari Winbush, Allen Jiang, Felicia Cordeiro, Ryann Crowley, Lauren E. Kahn, John Hernandez, Nicholas B. Allen:
Research Protocol for the Google Health Digital Well-being Study. CoRR abs/2307.05795 (2023) - [i48]Isaac R. Galatzer-Levy, Daniel McDuff, Vivek Natarajan, Alan Karthikesalingam, Matteo Malgaroli:
The Capability of Large Language Models to Measure Psychiatric Functioning. CoRR abs/2308.01834 (2023) - [i47]Yuxuan Ou, Yuzhe Zhang, Yuntang Wang, Shwetak N. Patel, Daniel McDuff, Yuzhe Yang, Xin Liu:
Training Robust Deep Physiological Measurement Models with Synthetic Video-based Data. CoRR abs/2311.05371 (2023) - [i46]Bjoern Braun, Daniel McDuff, Tadas Baltrusaitis, Christian Holz:
Video-based sympathetic arousal assessment via peripheral blood flow estimation. CoRR abs/2311.06930 (2023) - [i45]Zachary Englhardt, Chengqian Ma, Margaret E. Morris, Xuhai Orson Xu, Chun-Cheng Chang, Lianhui Qin, Daniel McDuff, Xin Liu, Shwetak N. Patel, Vikram Iyer:
From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models. CoRR abs/2311.13063 (2023) - [i44]Daniel McDuff, Mike Schaekermann, Tao Tu, Anil Palepu, Amy Wang, Jake Garrison, Karan Singhal, Yash Sharma, Shekoofeh Azizi, Kavita Kulkarni, Le Hou, Yong Cheng, Yun Liu, S. Sara Mahdavi, Sushant Prakash, Anupam Pathak, Christopher Semturs, Shwetak N. Patel, Dale R. Webster, Ewa Dominowska, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Jake Sunshine, Alan Karthikesalingam, Vivek Natarajan:
Towards Accurate Differential Diagnosis with Large Language Models. CoRR abs/2312.00164 (2023) - 2022
- [j27]Ewa Magdalena Nowara, Daniel McDuff, Ashutosh Sabharwal, Ashok Veeraraghavan:
Seeing beneath the skin with computational photography. Commun. ACM 65(12): 90-100 (2022) - [j26]Xin Liu, Yuntao Wang, Sinan Xie, Xiaoyu Zhang, Zixian Ma, Daniel McDuff, Shwetak N. Patel:
MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 24:1-24:23 (2022) - [j25]Daniel McDuff, Javier Hernandez, Xin Liu, Erroll Wood, Tadas Baltrusaitis:
Using High-Fidelity Avatars to Advance Camera-Based Cardiac Pulse Measurement. IEEE Trans. Biomed. Eng. 69(8): 2646-2656 (2022) - [j24]Thomas Vandal, Daniel McDuff, Weile Wang, Kate Duffy, Andrew R. Michaelis, Ramakrishna R. Nemani:
Spectral Synthesis for Geostationary Satellite-to-Satellite Translation. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [c94]Tsu-Jui Fu, William Yang Wang, Daniel McDuff, Yale Song:
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents. AAAI 2022: 634-642 - [c93]Javier Hernandez, Daniel McDuff, Ognjen (Oggi) Rudovic, Alberto Fung, Mary Czerwinski:
DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization. ACII 2022: 1-8 - [c92]Mehrab Bin Morshed, Javier Hernandez, Daniel McDuff, Jina Suh, Esther Howe, Kael Rowan, Marah Ihab Abdin, Gonzalo A. Ramos, Tracy Tran, Mary Czerwinski:
Advancing the Understanding and Measurement of Workplace Stress in Remote Information Workers from Passive Sensors and Behavioral Data. ACII 2022: 1-8 - [c91]Harmanpreet Kaur, Daniel McDuff, Alex C. Williams, Jaime Teevan, Shamsi T. Iqbal:
"I Didn't Know I Looked Angry": Characterizing Observed Emotion and Reported Affect at Work. CHI 2022: 199:1-199:18 - [c90]Esther Howe, Jina Suh, Mehrab Bin Morshed, Daniel McDuff, Kael Rowan, Javier Hernandez, Marah Ihab Abdin, Gonzalo A. Ramos, Tracy Tran, Mary Czerwinski:
Design of Digital Workplace Stress-Reduction Intervention Systems: Effects of Intervention Type and Timing. CHI 2022: 327:1-327:16 - [c89]Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor:
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CLeaR 2022: 559-575 - [c88]Xin Liu, Mingchuan Zhang, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff:
Federated Remote Physiological Measurement with Imperfect Data. CVPR Workshops 2022: 2154-2163 - [c87]Danish Contractor, Daniel McDuff, Julia Katherine Haines, Jenny Lee, Christopher Hines, Brent J. Hecht, Nicholas Vincent, Hanlin Li:
Behavioral Use Licensing for Responsible AI. FAccT 2022: 778-788 - [c86]Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor:
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. IROS 2022: 1000-1007 - [c85]Daniel McDuff, Miah Wander, Xin Liu, Brian L. Hill, Javier Hernandez, Jonathan Lester, Tadas Baltrusaitis:
SCAMPS: Synthetics for Camera Measurement of Physiological Signals. NeurIPS 2022 - [i43]Xin Liu, Yuntao Wang, Sinan Xie, Xiaoyu Zhang, Zixian Ma, Daniel McDuff, Shwetak N. Patel:
MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing. CoRR abs/2201.04039 (2022) - [i42]Xin Liu, Mingchuan Zhang, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff:
Federated Remote Physiological Measurement with Imperfect Data. CoRR abs/2203.05759 (2022) - [i41]Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh K. Gupta, Yale Song, Daniel McDuff, Ashish Kapoor:
COMPASS: Contrastive Multimodal Pretraining for Autonomous Systems. CoRR abs/2203.15788 (2022) - [i40]Daniel McDuff, Miah Wander, Xin Liu, Brian L. Hill, Javier Hernandez, Jonathan Lester, Tadas Baltrusaitis:
SCAMPS: Synthetics for Camera Measurement of Physiological Signals. CoRR abs/2206.04197 (2022) - [i39]Xin Liu, Xiaoyu Zhang, Girish Narayanswamy, Yuzhe Zhang, Yuntao Wang, Shwetak N. Patel, Daniel McDuff:
Deep Physiological Sensing Toolbox. CoRR abs/2210.00716 (2022) - [i38]Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff:
SimPer: Simple Self-Supervised Learning of Periodic Targets. CoRR abs/2210.03115 (2022) - [i37]A. Ali Heydari, Naghmeh Rezaei, Daniel J. McDuff, Javier L. Prieto:
No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective. CoRR abs/2210.09506 (2022) - 2021
- [j23]Damiano Spina, Johanne R. Trippas, Paul Thomas, Hideo Joho, Katriina Byström, Leigh Clark, Nick Craswell, Mary Czerwinski, David Elsweiler, Alexander Frummet, Souvick Ghosh, Johannes Kiesel, Irene Lopatovska, Daniel McDuff, Selina Meyer, Ahmed Mourad, Paul Owoicho, Sachin Pathiyan Cherumanal, Daniel Russell, Laurianne Sitbon:
Report on the future conversations workshop at CHIIR 2021. SIGIR Forum 55(1): 6:1-6:22 (2021) - [j22]Daniel McDuff, Stephanie Glass:
Faded Smiles? A Largescale Observational Study of Smiling from Adolescence to Old Age. IEEE Trans. Affect. Comput. 12(1): 53-65 (2021) - [j21]Daniel McDuff, Eunice Jun, Kael Rowan, Mary Czerwinski:
Longitudinal Observational Evidence of the Impact of Emotion Regulation Strategies on Affective Expression. IEEE Trans. Affect. Comput. 12(3): 636-647 (2021) - [j20]Wenjin Wang, Steffen Leonhardt, Lionel Tarassenko, Caifeng Shan, Daniel McDuff:
Guest Editorial: Camera-Based Monitoring for Pervasive Healthcare Informatics. IEEE J. Biomed. Health Informatics 25(5): 1358-1360 (2021) - [j19]Weixuan Chen, Daniel McDuff:
DeepMag: Source-Specific Change Magnification Using Gradient Ascent. ACM Trans. Graph. 40(1): 2:1-2:14 (2021) - [j18]Paul Thomas, Mary Czerwinski, Daniel McDuff, Nick Craswell:
Theories of Conversation for Conversational IR. ACM Trans. Inf. Syst. 39(4): 39:1-39:23 (2021) - [c84]Javier Hernandez, Josh Lovejoy, Daniel McDuff, Jina Suh, Tim O'Brien, Arathi Sethumadhavan, Gretchen Greene, Rosalind W. Picard, Mary Czerwinski:
Guidelines for Assessing and Minimizing Risks of Emotion Recognition Applications. ACII 2021: 1-8 - [c83]Ilaria Torre, Sylvaine Tuncer, Daniel McDuff, Mary Czerwinski:
Exploring the Effects of Virtual Agents' Smiles on Human-Agent Interaction: A Mixed-Methods Study. ACII 2021: 1-8 - [c82]Deepali Aneja, Rens Hoegen, Daniel McDuff, Mary Czerwinski:
Understanding Conversational and Expressive Style in a Multimodal Embodied Conversational Agent. CHI 2021: 102:1-102:10 - [c81]Prasanth Murali, Javier Hernandez, Daniel McDuff, Kael Rowan, Jina Suh, Mary Czerwinski:
AffectiveSpotlight: Facilitating the Communication of Affective Responses from Audience Members during Online Presentations. CHI 2021: 247:1-247:13 - [c80]Samiha Samrose, Daniel McDuff, Robert Sim, Jina Suh, Kael Rowan, Javier Hernandez, Sean Rintel, Kevin Moynihan, Mary Czerwinski:
MeetingCoach: An Intelligent Dashboard for Supporting Effective & Inclusive Meetings. CHI 2021: 252:1-252:13 - [c79]Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak N. Patel, Daniel McDuff:
MetaPhys: few-shot adaptation for non-contact physiological measurement. CHIL 2021: 154-163 - [c78]Ewa Magdalena Nowara, Daniel McDuff, Ashok Veeraraghavan:
Combining Magnification and Measurement for Non-Contact Cardiac Monitoring. CVPR Workshops 2021: 3810-3819 - [c77]Daniel McDuff, Xin Liu, Javier Hernandez, Erroll Wood, Tadas Baltrusaitis:
Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing. EMBC 2021: 3742-3748 - [c76]Kezhen Chen, Qiuyuan Huang, Daniel McDuff, Xiang Gao, Hamid Palangi, Jianfeng Wang, Kenneth D. Forbus, Jianfeng Gao:
NICE: Neural Image Commenting with Empathy. EMNLP (Findings) 2021: 4456-4472 - [c75]Ewa Magdalena Nowara, Daniel McDuff, Ashok Veeraraghavan:
The Benefit of Distraction: Denoising Camera-Based Physiological Measurements using Inverse Attention. ICCV 2021: 4935-4944 - [c74]Brian L. Hill, Xin Liu, Daniel McDuff:
Beat-to-Beat Cardiac Pulse Rate Measurement From Video. ICCVW 2021: 2739-2742 - [c73]Shuang Ma, Zhaoyang Zeng, Daniel McDuff, Yale Song:
Active Contrastive Learning of Audio-Visual Video Representations. ICLR 2021 - [c72]Dean Zadok, Daniel McDuff, Ashish Kapoor:
Modeling Affect-based Intrinsic Rewards for Exploration and Learning. ICRA 2021: 13078-13084 - [c71]Shuang Ma, Zhaoyang Zeng, Daniel McDuff, Yale Song:
Contrastive Learning of Global and Local Video Representations. NeurIPS 2021: 7025-7040 - [c70]Daniel McDuff, Paul Thomas, Nick Craswell, Kael Rowan, Mary Czerwinski:
Do Affective Cues Validate Behavioural Metrics for Search? SIGIR 2021: 1544-1553 - [i36]Tsu-Jui Fu, William Yang Wang, Daniel McDuff, Yale Song:
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents. CoRR abs/2101.11796 (2021) - [i35]Prasanth Murali, Javier Hernandez, Daniel McDuff, Kael Rowan, Jina Suh, Mary Czerwinski:
AffectiveSpotlight: Facilitating the Communication of Affective Responses from Audience Members during Online Presentations. CoRR abs/2101.12284 (2021) - [i34]Javier Hernandez, Daniel McDuff, Ognjen Rudovic, Alberto Fung, Mary Czerwinski:
DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization. CoRR abs/2103.02484 (2021) - [i33]Daniel McDuff, Ewa Magdalena Nowara:
"Warm Bodies": A Post-Processing Technique for Animating Dynamic Blood Flow on Photos and Avatars. CoRR abs/2103.07987 (2021) - [i32]Shuang Ma, Zhaoyang Zeng, Daniel McDuff, Yale Song:
Contrastive Learning of Global and Local Audio-Visual Representations. CoRR abs/2104.05418 (2021) - [i31]Daniel McDuff, Yale Song, Jiyoung Lee, Vibhav Vineet, Sai Vemprala, Nicholas Gyde, Hadi Salman, Shuang Ma, Kwanghoon Sohn, Ashish Kapoor:
CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning. CoRR abs/2106.13364 (2021) - [i30]Brian L. Hill, Xin Liu, Daniel McDuff:
Learning Higher-Order Dynamics in Video-Based Cardiac Measurement. CoRR abs/2110.03690 (2021) - [i29]Xin Liu, Brian L. Hill, Ziheng Jiang, Shwetak N. Patel, Daniel McDuff:
EfficientPhys: Enabling Simple, Fast and Accurate Camera-Based Vitals Measurement. CoRR abs/2110.04447 (2021) - [i28]Daniel McDuff, Xin Liu, Javier Hernandez, Erroll Wood, Tadas Baltrusaitis:
Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing. CoRR abs/2110.04902 (2021) - [i27]Xin Liu, Shwetak N. Patel, Daniel McDuff:
Camera-Based Physiological Sensing: Challenges and Future Directions. CoRR abs/2110.13362 (2021) - [i26]Daniel McDuff:
Camera Measurement of Physiological Vital Signs. CoRR abs/2111.11547 (2021) - 2020
- [c69]Andrew Begel, John C. Tang, Sean Andrist, Michael Barnett, Tony Carbary, Piali Choudhury, Edward Cutrell, Alberto Fung, Sasa Junuzovic, Daniel McDuff, Kael Rowan, Shibashankar Sahoo, Jennifer Frances Waldern, Jessica Wolk, Hui Zheng, Annuska Zolyomi:
Lessons Learned in Designing AI for Autistic Adults. ASSETS 2020: 46:1-46:6 - [c68]Harmanpreet Kaur, Alex C. Williams, Daniel McDuff, Mary Czerwinski, Jaime Teevan, Shamsi T. Iqbal:
Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work. CHI 2020: 1-15 - [c67]Ewa Magdalena Nowara, Daniel McDuff, Ashok Veeraraghavan:
A Meta-Analysis of the Impact of Skin Type and Gender on Non-contact Photoplethysmography Measurements. CVPR Workshops 2020: 1148-1155 - [c66]Mohammad Rafayet Ali, Javier Hernandez, Earl Ray Dorsey, Ehsan Hoque, Daniel McDuff:
Spatio-Temporal Attention and Magnification for Classification of Parkinson's Disease from Videos Collected via the Internet. FG 2020: 207-214 - [c65]Matt Whitehill, Shuang Ma, Daniel McDuff, Yale Song:
Multi-Reference Neural TTS Stylization with Adversarial Cycle Consistency. INTERSPEECH 2020: 4442-4446 - [c64]