Long Mai

Research Scientist

San Jose

Long is a research scientist at Creative Intelligence Lab, Adobe Research. Long joined Adobe in June 2017. Before joining Adobe, Long obtains his Ph.D from Portland State University where he was a member of the Computer Graphics & Vision Lab, advised by Professor Feng Liu.

His current research focuses on leveraging deep learning techniques to approach challenging problems in computer vision and computer graphics. In particular, he is interested in learning-based frameworks for creative visual search and image/video synthesis.

My Publications

An Internal Learning Approach to Video Inpainting

Zhang, H., Mai, L., Xu, N., Wang, Z., Collomosse, J., Jin, H. (Oct. 28, 2019)
International Conference on Computer Vision (ICCV) 2019

MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations from Minimal User Input

Liew, J., Cohen, S., Price, B., Mai, L., Ong, S., Feng, J. (Oct. 28, 2019)
International Conference on Computer Vision (ICCV)

Interactive Boundary Prediction for Object Selection

Le, H., Mai, L., Price, B., Cohen, S., Jin, H., Liu, F. (Sep. 8, 2018)
European Conference on Computer Vision 2018

Video Frame Interpolation via Adaptive Separable Convolution

Niklaus, S., Mai, L., Liu, F. (Oct. 20, 2017)
International Conference in Computer Vision (2017)

Spatial-Semantic Image Search by Visual Feature Synthesis

Mai, L., Jin, H., Lin, Z., Fang, C, Brandt, J., Liu, F. (Jul. 28, 2017)
Spotlight Presentation Computer Vision and Pattern Recognition (2017)

Video Frame Interpolation via Adaptive Convolution

Mai, L., Niklaus, S., Liu, F. (Jul. 28, 2017)
Spotlight Presentation Computer Vision and Pattern Recognition

Content and Surface Aware Projection

Mai, L., Le, H., Liu, F. (May. 22, 2017)
Graphics Interface (2017)

Composition-preserving Deep Photo Aesthetics Assessment

Mai, L., Jin, H., Liu, F. (Jun. 27, 2016)
Computer Vision and Pattern Recognition (2016)