MO1.L1.2
DFT GAZE: DISTILLED AND FINE-TUNED GAZE ESTIMATION FOR PERSONALIZATION ON TINY DEVICES
He-Yen Hsieh, Harvard University, United States; Ziyun Li, Reality Labs Research/Meta, United States; Sai Qian Zhang, Wei-Te Mark Ting, New York University, United States; Kao-Den Chang, Harvard University, United States; Barbara De Salvo, Chiao Liu, Reality Labs Research/Meta, United States; H. T. Kung, Harvard University, United States
Session:
MO1.L1: Machine Learning in Signal Processing 1 Spotlight
Track:
[ML] Machine Learning in Signal Processing
Location:
Spotlight Room 1
Presentation Time:
Mon, 15 Sep, 08:50 - 09:10 Anchorage Time (UTC -8)
Session Chair:
C.-C. Jay Kuo, University of Southern California
Presentation
Discussion
Resources
No resources available.
Session MO1.L1
MO1.L1.1: DEEP UNSUPERVISED DESPECKLING WITH UNBIASED RISK ESTIMATION
Ashutosh Gupta, Indian Space Research Organization (ISRO), India; Chandra Sekhar Seelamantula, Indian Institute of Science, India; Thierry Blu, National Taiwan University, Taiwan; Nitant Dube, Indian Space Research Organization, India; Shanmuganathan Raman, Indian Institute of Technology (IIT), India
MO1.L1.2: DFT GAZE: DISTILLED AND FINE-TUNED GAZE ESTIMATION FOR PERSONALIZATION ON TINY DEVICES
He-Yen Hsieh, Harvard University, United States; Ziyun Li, Reality Labs Research/Meta, United States; Sai Qian Zhang, Wei-Te Mark Ting, New York University, United States; Kao-Den Chang, Harvard University, United States; Barbara De Salvo, Chiao Liu, Reality Labs Research/Meta, United States; H. T. Kung, Harvard University, United States
MO1.L1.3: Learning Geometry-Aware Representation for Gaze Estimation
Siyuan Zhou, Qida Tan, Wenchao Du, Hu Chen, Hongyu Yang, Sichuan University, China
Contacts