Jun-Yan Zhu

Research Scientist

Cambridge

I am a Research Scientist at Adobe Research. I study computer vision, computer graphics, and machine learning with the goal of building intelligent machines, capable of recreating our visual world.  I did a postdoc at MIT CSAIL, working with William T. Freeman, Josh Tenenbaum, and Antonio Torralba. I obtained my Ph.D. from UC Berkeley, under the supervision of Alexei A. Efros. I received my B.E. from Tsinghua University.

My personal website is here.

Publications

Transforming and Projecting Images into Class-conditional Generative Networks

Huh, M., Zhang, R., Zhu, J., Paris, S., Hertzmann, A. (Aug. 23, 2020)

Oral

European Conference on Computer Vision (ECCV)

State of the Art on Neural Rendering

Tewari, A., Fried, O., Thies, J., Sitzmann, V., Lombardi, S., Sunkavalli, K., Martin-Brualla, R., Simon, T., Saragih, J., Niessner, M., Pandey, R., Fanello, S., Wetzstein, G., Zhu, J., Theobalt, C., Agrawala, M., Shechtman, E., Goldman, D., Zollhoefer, M. (Apr. 8, 2020)

Computer Graphics Forum (EG STAR 2020)

Generative Visual Manipulation on the Natural Image Manifold

Zhu, J., Krähenbühl, P., Shechtman, E., Efros, A. (Oct. 11, 2016)

European Conference on Computer Vision (ECCV'16)

Learning a Discriminative Model for the Perception of Realism in Composite Images

Zhu, J., Krähenbühl, P., Shechtman, E., Efros, A. (Dec. 12, 2015)

International Conference on Computer Vision (ICCV'15), Santiago 2015