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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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Journal Articles
- 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) - 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) - 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) - 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) - 2019
- [j17]Mihai Burzo, Verónica Pérez-Rosas, Daniel McDuff, Louis-Philippe Morency, Alexis Narvaez, Rada Mihalcea:
Sensing Affective Response to Visual Narratives. IEEE Comput. Intell. Mag. 14(2): 54-66 (2019) - [j16]Eunice Jun, Daniel McDuff, Mary Czerwinski:
Circadian Rhythms and Physiological Synchrony: Evidence of the Impact of Diversity on Small Group Creativity. Proc. ACM Hum. Comput. Interact. 3(CSCW): 60:1-60:22 (2019) - [j15]Lei Shi, Brianna J. Tomlinson, John C. Tang, Edward Cutrell, Daniel McDuff, Gina Venolia, Paul Johns, Kael Rowan:
Accessible Video Calling: Enabling Nonvisual Perception of Visual Conversation Cues. Proc. ACM Hum. Comput. Interact. 3(CSCW): 131:1-131:22 (2019) - [j14]Annuska Zolyomi, Andrew Begel, Jennifer Frances Waldern, John C. Tang, Michael Barnett, Edward Cutrell, Daniel McDuff, Sean Andrist, Meredith Ringel Morris:
Managing Stress: The Needs of Autistic Adults in Video Calling. Proc. ACM Hum. Comput. Interact. 3(CSCW): 134:1-134:29 (2019) - [j13]Daniel McDuff, May Amr, Rana El Kaliouby:
AM-FED+: An Extended Dataset of Naturalistic Facial Expressions Collected in Everyday Settings. IEEE Trans. Affect. Comput. 10(1): 7-17 (2019) - [j12]Javier Hernandez, Daniel McDuff, Karen S. Quigley, Pattie Maes, Rosalind W. Picard:
Wearable Motion-Based Heart Rate at Rest: A Workplace Evaluation. IEEE J. Biomed. Health Informatics 23(5): 1920-1927 (2019) - 2018
- [j11]Munenori Fukunishi, Daniel McDuff, Norimichi Tsumura:
Improvements in remote video based estimation of heart rate variability using the Welch FFT method. Artif. Life Robotics 23(1): 15-22 (2018) - [j10]Daniel McDuff, Mary Czerwinski:
Designing emotionally sentient agents. Commun. ACM 61(12): 74-83 (2018) - [j9]Daniel J. McDuff, Ethan B. Blackford, Justin R. Estepp:
Fusing Partial Camera Signals for Noncontact Pulse Rate Variability Measurement. IEEE Trans. Biomed. Eng. 65(8): 1725-1739 (2018) - 2017
- [j8]Daniel McDuff, Rana El Kaliouby:
Applications of Automated Facial Coding in Media Measurement. IEEE Trans. Affect. Comput. 8(2): 148-160 (2017) - 2015
- [j7]Daniel McDuff, Rana El Kaliouby, Jeffrey F. Cohn, Rosalind W. Picard:
Predicting Ad Liking and Purchase Intent: Large-Scale Analysis of Facial Responses to Ads. IEEE Trans. Affect. Comput. 6(3): 223-235 (2015) - 2014
- [j6]Daniel McDuff, Rana El Kaliouby, Thibaud Senechal, David Demirdjian, Rosalind W. Picard:
Automatic measurement of ad preferences from facial responses gathered over the Internet. Image Vis. Comput. 32(10): 630-640 (2014) - [j5]Daniel McDuff, Sarah Gontarek, Rosalind W. Picard:
Improvements in Remote Cardiopulmonary Measurement Using a Five Band Digital Camera. IEEE Trans. Biomed. Eng. 61(10): 2593-2601 (2014) - [j4]Daniel McDuff, Sarah Gontarek, Rosalind W. Picard:
Remote Detection of Photoplethysmographic Systolic and Diastolic Peaks Using a Digital Camera. IEEE Trans. Biomed. Eng. 61(12): 2948-2954 (2014) - 2012
- [j3]Mohammed E. Hoque, Daniel J. McDuff, Rosalind W. Picard:
Exploring Temporal Patterns in Classifying Frustrated and Delighted Smiles. IEEE Trans. Affect. Comput. 3(3): 323-334 (2012) - [j2]Daniel McDuff, Rana El Kaliouby, Rosalind W. Picard:
Crowdsourcing Facial Responses to Online Videos. IEEE Trans. Affect. Comput. 3(4): 456-468 (2012) - 2011
- [j1]Ming-Zher Poh, Daniel J. McDuff, Rosalind W. Picard:
Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam. IEEE Trans. Biomed. Eng. 58(1): 7-11 (2011)
Conference and Workshop Papers
- 2024
- [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 - 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 - 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 - 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 - 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]Ted Grover, Kael Rowan, Jina Suh, Daniel McDuff, Mary Czerwinski:
Design and evaluation of intelligent agent prototypes for assistance with focus and productivity at work. IUI 2020: 390-400 - [c63]Deepali Aneja, Daniel McDuff, Mary Czerwinski:
Conversational Error Analysis in Human-Agent Interaction. IVA 2020: 3:1-3:8 - [c62]Xin Liu, Josh Fromm, Shwetak N. Patel, Daniel McDuff:
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement. NeurIPS 2020 - [c61]Paul Thomas, Daniel McDuff, Mary Czerwinski, Nick Craswell:
Expressions of Style in Information Seeking Conversation with an Agent. SIGIR 2020: 1171-1180 - 2019
- [c60]Asma Ghandeharioun, Daniel McDuff, Mary Czerwinski, Kael Rowan:
EMMA: An Emotion-Aware Wellbeing Chatbot. ACII 2019: 1-7 - [c59]Everlyne Kimani, Kael Rowan, Daniel McDuff, Mary Czerwinski, Gloria Mark:
A Conversational Agent in Support of Productivity and Wellbeing at Work. ACII 2019: 1-7 - [c58]Asma Ghandeharioun, Daniel McDuff, Mary Czerwinski, Kael Rowan:
Towards Understanding Emotional Intelligence for Behavior Change Chatbots. ACII 2019: 8-14 - [c57]Daniel McDuff, Jeffrey M. Girard:
Democratizing Psychological Insights from Analysis of Nonverbal Behavior. ACII 2019: 220-226 - [c56]Daniel McDuff, Ethan B. Blackford:
iPhys: An Open Non-Contact Imaging-Based Physiological Measurement Toolbox. EMBC 2019: 6521-6524 - [c55]Daniel McDuff:
Using Non-Contact Imaging Photoplethysmography to Recover Diurnal Patterns in Heart Rate. EMBC 2019: 6830-6833 - [c54]Daniel McDuff:
Building Emotionally Intelligent AI: From Sensing to Synthesis. VISIGRAPP 2019: 5 - [c53]Shuang Ma, Daniel McDuff, Yale Song:
Unpaired Image-to-Speech Synthesis With Multimodal Information Bottleneck. ICCV 2019: 7597-7606 - [c52]Ewa Magdalena Nowara, Daniel McDuff:
Combating the Impact of Video Compression on Non-Contact Vital Sign Measurement Using Supervised Learning. ICCV Workshops 2019: 1706-1712 - [c51]Shuang Ma, Daniel McDuff, Yale Song:
Neural TTS Stylization with Adversarial and Collaborative Games. ICLR (Poster) 2019 - [c50]Daniel McDuff, Ashish Kapoor:
Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards. ICLR (Poster) 2019 - [c49]Deepali Aneja, Daniel McDuff, Shital Shah:
A High-Fidelity Open Embodied Avatar with Lip Syncing and Expression Capabilities. ICMI 2019: 69-73 - [c48]Rens Hoegen, Deepali Aneja, Daniel McDuff, Mary Czerwinski:
An End-to-End Conversational Style Matching Agent. IVA 2019: 111-118 - [c47]Daniel McDuff, Shuang Ma, Yale Song, Ashish Kapoor:
Characterizing Bias in Classifiers using Generative Models. NeurIPS 2019: 5404-5415 - 2018
- [c46]Bernd Huber, Daniel McDuff, Chris Brockett, Michel Galley, Bill Dolan:
Emotional Dialogue Generation using Image-Grounded Language Models. CHI 2018: 277 - [c45]Paul Thomas, Mary Czerwinski, Daniel McDuff, Nick Craswell, Gloria Mark:
Style and Alignment in Information-Seeking Conversation. CHIIR 2018: 42-51 - [c44]Daniel McDuff:
Deep Super Resolution for Recovering Physiological Information From Videos. CVPR Workshops 2018: 1367-1374 - [c43]Weixuan Chen, Daniel McDuff:
DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks. ECCV (2) 2018: 356-373 - [c42]Daniel McDuff, Ethan B. Blackford, Justin Estepp:
Spectral Estimation Methods for Evaluating iPPG Pulse Rate Variability. EMBC 2018: 1054-1057 - [c41]Daniel McDuff, Christophe Hurter:
InPhysible: Camouflage Against Video-Based Physiological Measurement. EMBC 2018: 5784-5789 - [c40]Bernd Huber, Daniel McDuff:
Facial Expression Grounded Conversational Dialogue Generation. FG 2018: 365-372 - 2017
- [c39]Daniel McDuff:
Smiling from adolescence to old age: A large observational study. ACII 2017: 98-104 - [c38]Daniel J. McDuff, Ethan B. Blackford, Justin R. Estepp:
The Impact of Video Compression on Remote Cardiac Pulse Measurement Using Imaging Photoplethysmography. FG 2017: 63-70 - [c37]Daniel McDuff, Mohammad Soleymani:
Large-scale Affective Content Analysis: Combining Media Content Features and Facial Reactions. FG 2017: 339-345 - [c36]Jeffrey M. Girard, Daniel McDuff:
Historical Heterogeneity Predicts Smiling: Evidence from Large-Scale Observational Analyses. FG 2017: 719-726 - [c35]Daniel McDuff, Paul Thomas, Mary Czerwinski, Nick Craswell:
Multimodal analysis of vocal collaborative search: a public corpus and results. ICMI 2017: 456-463 - [c34]Christophe Hurter, Daniel McDuff:
Cardiolens: remote physiological monitoring in a mixed reality environment. SIGGRAPH Emerging Technologies 2017: 6:1-6:2 - [c33]Daniel McDuff, Christophe Hurter, Mar González-Franco:
Pulse and vital sign measurement in mixed reality using a HoloLens. VRST 2017: 34:1-34:9 - 2016
- [c32]Daniel McDuff, Abdelrahman N. Mahmoud, Mohammad Mavadati, May Amr, Jay Turcot, Rana El Kaliouby:
AFFDEX SDK: A Cross-Platform Real-Time Multi-Face Expression Recognition Toolkit. CHI Extended Abstracts 2016: 3723-3726 - [c31]Daniel J. McDuff, Javier Hernandez, Sarah Gontarek, Rosalind W. Picard:
COGCAM: Contact-free Measurement of Cognitive Stress During Computer Tasks with a Digital Camera. CHI 2016: 4000-4004 - [c30]Otkrist Gupta, Daniel McDuff, Ramesh Raskar:
Real-Time Physiological Measurement and Visualization Using a Synchronized Multi-camera System. CVPR Workshops 2016: 312-319 - [c29]Daniel McDuff:
Discovering facial expressions for states of amused, persuaded, informed, sentimental and inspired. ICMI 2016: 71-75 - [c28]Irman Abdic, Lex Fridman, Daniel McDuff, Erik Marchi, Bryan Reimer, Björn W. Schuller:
Driver Frustration Detection from Audio and Video in the Wild. IJCAI 2016: 1354-1360 - [c27]Natasha Jaques, Daniel McDuff, Yoo Lim Kim, Rosalind W. Picard:
Understanding and Predicting Bonding in Conversations Using Thin Slices of Facial Expressions and Body Language. IVA 2016: 64-74 - [c26]Javier Hernandez, Daniel McDuff, Christian Infante, Pattie Maes, Karen S. Quigley, Rosalind W. Picard:
Wearable ESM: differences in the experience sampling method across wearable devices. MobileHCI 2016: 195-205 - 2015
- [c25]Mohammed (Ehsan) Hoque, Daniel McDuff, Rosalind W. Picard:
Exploring temporal patterns in classifying frustrated and delighted smiles (Extended abstract). ACII 2015: 505-511 - [c24]Daniel McDuff, Rana El Kaliouby, Rosalind W. Picard:
Crowdsourcing facial responses to online videos: Extended abstract. ACII 2015: 512-518 - [c23]Javier Hernandez, Daniel J. McDuff, Rosalind W. Picard:
BioInsights: Extracting personal data from "Still" wearable motion sensors. BSN 2015: 1-6 - [c22]Daniel J. McDuff, Justin R. Estepp, Alyssa M. Piasecki, Ethan B. Blackford:
A survey of remote optical photoplethysmographic imaging methods. EMBC 2015: 6398-6404 - [c21]Javier Hernandez, Daniel J. McDuff, Rosalind W. Picard:
Biophone: Physiology monitoring from peripheral smartphone motions. EMBC 2015: 7180-7183 - [c20]Yale Song, Daniel McDuff, Deepak Vasisht, Ashish Kapoor:
Exploiting sparsity and co-occurrence structure for action unit recognition. FG 2015: 1-8 - [c19]Thomas Vandal, Daniel McDuff, Rana El Kaliouby:
Event detection: Ultra large-scale clustering of facial expressions. FG 2015: 1-8 - [c18]Thibaud Senechal, Daniel McDuff, Rana El Kaliouby:
Facial Action Unit Detection Using Active Learning and an Efficient Non-linear Kernel Approximation. ICCV Workshops 2015: 10-18 - [c17]Javier Hernandez, Daniel McDuff, Rosalind W. Picard:
Biowatch: Estimation of heart and breathing rates from wrist motions. PervasiveHealth 2015: 169-176 - 2014
- [c16]Javier Hernandez, Daniel McDuff, Xavier Benavides, Judith Amores, Pattie Maes, Rosalind W. Picard:
AutoEmotive: bringing empathy to the driving experience to manage stress. Conference on Designing Interactive Systems (Companion Volume) 2014: 53-56 - [c15]Daniel McDuff, Sarah Gontarek, Rosalind W. Picard:
Remote measurement of cognitive stress via heart rate variability. EMBC 2014: 2957-2960 - 2013
- [c14]Daniel McDuff, Rana El Kaliouby, Evan Kodra, Rosalind W. Picard:
Measuring Voter's Candidate Preference Based on Affective Responses to Election Debates. ACII 2013: 369-374 - [c13]Daniel McDuff, Rana El Kaliouby, Thibaud Senechal, May Amr, Jeffrey F. Cohn, Rosalind W. Picard:
Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild". CVPR Workshops 2013: 881-888 - [c12]Evan Kodra, Thibaud Senechal, Daniel McDuff, Rana El Kaliouby:
From dials to facial coding: Automated detection of spontaneous facial expressions for media research. FG 2013: 1-6 - [c11]Daniel McDuff, Rana El Kaliouby, David Demirdjian, Rosalind W. Picard:
Predicting online media effectiveness based on smile responses gathered over the Internet. FG 2013: 1-7 - [c10]Javier Hernandez, Daniel McDuff, Rich Fletcher, Rosalind W. Picard:
Inside-out: Reflecting on your inner state. PerCom Workshops 2013: 324-327 - 2012
- [c9]Daniel McDuff, Amy K. Karlson, Ashish Kapoor, Asta Roseway, Mary Czerwinski:
AffectAura: an intelligent system for emotional memory. CHI 2012: 849-858 - [c8]Mihai Burzo, Daniel McDuff, Rada Mihalcea, Louis-Philippe Morency, Alexis Narvaez, Verónica Pérez-Rosas:
Towards sensing the influence of visual narratives on human affect. ICMI 2012: 153-160 - [c7]Daniel McDuff, Amy K. Karlson, Ashish Kapoor, Asta Roseway, Mary Czerwinski:
AffectAura: Emotional wellbeing reflection system. PervasiveHealth 2012: 199-200 - 2011
- [c6]Mohammed E. Hoque, Daniel J. McDuff, Louis-Philippe Morency, Rosalind W. Picard:
Machine Learning for Affective Computing. ACII (2) 2011: 567 - [c5]Daniel McDuff, Rana El Kaliouby, Karim Kassam, Rosalind W. Picard:
Acume: A new visualization tool for understanding facial expression and gesture data. FG 2011: 591-596 - [c4]Tadas Baltrusaitis, Daniel McDuff, Ntombikayise Banda, Marwa Mahmoud, Rana El Kaliouby, Peter Robinson, Rosalind W. Picard:
Real-time inference of mental states from facial expressions and upper body gestures. FG 2011: 909-914 - [c3]Daniel McDuff, Rana El Kaliouby, Rosalind W. Picard:
Crowdsourced data collection of facial responses. ICMI 2011: 11-18 - [c2]Ming-Zher Poh, Daniel McDuff, Rosalind W. Picard:
A medical mirror for non-contact health monitoring. SIGGRAPH Emerging Technologies 2011: 2 - 2010
- [c1]Daniel McDuff, Rana El Kaliouby, Karim Kassam, Rosalind W. Picard:
Affect valence inference from facial action unit spectrograms. CVPR Workshops 2010: 17-24
Informal and Other Publications
- 2024
- [i69]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) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - 2023
- [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
- [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
- [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
- [i25]Xin Liu, Josh Fromm, Shwetak N. Patel, Daniel McDuff:
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement. CoRR abs/2006.03790 (2020) - [i24]Shuang Ma, Zhaoyang Zeng, Daniel McDuff, Yale Song:
Learning Audio-Visual Representations with Active Contrastive Coding. CoRR abs/2009.09805 (2020) - [i23]Xin Liu, Ziheng Jiang, Josh Fromm, Xuhai Xu, Shwetak N. Patel, Daniel McDuff:
MetaPhys: Unsupervised Few-Shot Adaptation for Non-Contact Physiological Measurement. CoRR abs/2010.01773 (2020) - [i22]Thomas Vandal, Daniel McDuff, Weile Wang, Andrew R. Michaelis, Ramakrishna R. Nemani:
Spectral Synthesis for Satellite-to-Satellite Translation. CoRR abs/2010.06045 (2020) - [i21]Ewa Magdalena Nowara, Daniel McDuff, Ashok Veeraraghavan:
The Benefit of Distraction: Denoising Remote Vitals Measurements using Inverse Attention. CoRR abs/2010.07770 (2020) - [i20]Daniel McDuff, Javier Hernandez, Erroll Wood, Xin Liu, Tadas Baltrusaitis:
Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars. CoRR abs/2010.12949 (2020) - [i19]Danish Contractor, Daniel McDuff, Julia Katherine Haines, Jenny Lee, Christopher Hines, Brent J. Hecht:
Behavioral Use Licensing for Responsible AI. CoRR abs/2011.03116 (2020) - 2019
- [i18]Daniel McDuff, Ethan B. Blackford:
iPhys: An Open Non-Contact Imaging-Based Physiological Measurement Toolbox. CoRR abs/1901.04366 (2019) - [i17]Daniel McDuff, Kael Rowan, Piali Choudhury, Jessica Wolk, ThuVan Pham, Mary Czerwinski:
A Multimodal Emotion Sensing Platform for Building Emotion-Aware Applications. CoRR abs/1903.12133 (2019) - [i16]Rens Hoegen, Deepali Aneja, Daniel McDuff, Mary Czerwinski:
An End-to-End Conversational Style Matching Agent. CoRR abs/1904.02760 (2019) - [i15]Daniel McDuff, Shuang Ma, Yale Song, Ashish Kapoor:
Characterizing Bias in Classifiers using Generative Models. CoRR abs/1906.11891 (2019) - [i14]Shuang Ma, Daniel McDuff, Yale Song:
M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention. CoRR abs/1907.04378 (2019) - [i13]Asma Ghandeharioun, Daniel McDuff, Mary Czerwinski, Kael Rowan:
Towards Understanding Emotional Intelligence for Behavior Change Chatbots. CoRR abs/1907.10664 (2019) - [i12]Shuang Ma, Daniel McDuff, Yale Song:
Unpaired Image-to-Speech Synthesis with Multimodal Information Bottleneck. CoRR abs/1908.07094 (2019) - [i11]Deepali Aneja, Daniel McDuff, Shital Shah:
A High-Fidelity Open Embodied Avatar with Lip Syncing and Expression Capabilities. CoRR abs/1909.08766 (2019) - [i10]Deepali Aneja, Rens Hoegen, Daniel McDuff, Mary Czerwinski:
Designing Style Matching Conversational Agents. CoRR abs/1910.07514 (2019) - [i9]Matt Whitehill, Shuang Ma, Daniel McDuff, Yale Song:
Multi-Reference Neural TTS Stylization with Adversarial Cycle Consistency. CoRR abs/1910.11958 (2019) - [i8]Alberto Fung, Daniel McDuff:
A Scalable Approach for Facial Action Unit Classifier Training Using Noisy Data for Pre-Training. CoRR abs/1911.05946 (2019) - [i7]Dean Zadok, Daniel McDuff, Ashish Kapoor:
Affect-based Intrinsic Rewards for Learning General Representations. CoRR abs/1912.00403 (2019) - [i6]Daniel McDuff, Jonah Berger:
Do Facial Expressions Predict Ad Sharing? A Large-Scale Observational Study. CoRR abs/1912.10311 (2019) - 2018
- [i5]Weixuan Chen, Daniel McDuff:
DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks. CoRR abs/1805.07888 (2018) - [i4]Daniel McDuff, Ashish Kapoor:
Visceral Machines: Reinforcement Learning with Intrinsic Rewards that Mimic the Human Nervous System. CoRR abs/1805.09975 (2018) - [i3]Weixuan Chen, Daniel McDuff:
DeepMag: Source Specific Motion Magnification Using Gradient Ascent. CoRR abs/1808.03338 (2018) - [i2]Daniel McDuff, Roger Cheng, Ashish Kapoor:
Identifying Bias in AI using Simulation. CoRR abs/1810.00471 (2018) - [i1]Asma Ghandeharioun, Daniel McDuff, Mary Czerwinski, Kael Rowan:
EMMA: An Emotionally Intelligent Personal Assistant for Improving Wellbeing. CoRR abs/1812.11423 (2018)
Coauthor Index
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