Junfeng He

Short bio

Junfeng He is a research scientist in Google Research. He got his bachelor and master degree from Tsinghua University, and PhD from Columbia University.
His full publication list can be found in google scholar page

Research areas

His major research areas include computer vision, machine learning, HCI, ranking, search/retrieval. He has >15 years research experience on image retrieval&classification, image manipulation and its detection, search ranking, large scale (approximate) machine learning, etc.
His current research interest is the intersection of computer vision and human vision/perception, for instance, 1) using computer vision techniques to model and understand human vision/perception like gaze/attention, with applications to health/education/social-good/improving-user-experience, 2) leveraging human vision to inspire and improve computer vision models/systems, 3) incorporate both human and computer visions for new applications and research.

Recent research papers

Accelerating eye movement research via accurate and affordable smartphone eye tracking, N Valliappan, N Dai, E Steinberg, J He, K Rogers…, Nature Communications, 2020

On-Device Few-Shot Personalization for Real-Time Gaze Estimation, Junfeng He, Khoi Pham, Nachiappan Valliappan, Pingmei Xu, Chase Roberts, Dmitry Lagun, Vidhya Navalpakkam, ICCV 2019 GAZE workshop , Best paper

Gazegan-unpaired adversarial image generation for gaze estimation, M Sela, P Xu, J He, V Navalpakkam, D Lagun, arXiv preprint arXiv:1711.09767, 2017

Hash bit selection for nearest neighbor search, X Liu, J He, SF Chang, IEEE Transactions on Image Processing, 2017

Awards

Publication&OpenSourcing Excellence Award , Perira org, Google Research, 2021

Best Paper Award , ICCV GAZE workshop, 2019