Junfeng He is a senior research scientist in Google Research. His major research interest includes computer vision, machine learning, HCI, ranking, search and retrieval. He has >15 years research experience on image classification/retrieval, image editing and its detection, search ranking, large scale (approximate) machine learning, etc.
His current research area is to use computer vision and machine learning to understand human behaviors like attention, with applications to health, education, social good as well as user understanding.
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; International Conference on Computer Vision , 2019, GAZE workshop Best Paper Award
Training robust deep neural networks via adversarial noise propagation A Liu, X Liu, C Zhang, H Yu, Q Liu, J He - arXiv preprint arXiv:1909.09034, 2019
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