Simon Niklaus is a researcher at Adobe, working on novel view synthesis in time and space. He is interested in finding continuity in discrete videos, breathing new life into static images, and novel novel view synthesis. Simon is happy to be reporting to Eli Shechtman.

Simon is a student of Feng Liu and is grateful for his internship at Adobe while working with Long Mai on the 3D Ken Burns project, and his internship at Google while working with Tianfan Xue on an undisclosed project within Marc Levoy‘s team, and hist first years at Adobe when he was reporting to Oliver Wang.

Please find more information on his personal website: sniklaus.com

Publications

Splatting-based Synthesis for Video Frame Interpolation

Niklaus, S., Hu, P., Chen, J. (Jan. 2, 2023)

IEEE Winter Conference on Applications of Computer Vision

Layered Depth Refinement with Mask Guidance

Kim, S., Zhang, J., Niklaus, S., Fan, Y., Chen, S., Lin, Z., Kim, M. (Jun. 21, 2022)

Conference on Computer Vision and Pattern Recognition (CVPR)

Revisiting Adaptive Convolutions for Video Frame Interpolation

Niklaus, S., Mai, L., Wang, O. (Jan. 5, 2021)

IEEE Winter Conference on Applications of Computer Vision

Learned Dual-View Reflection Removal

Niklaus, S., Zhang, X., Barron, J., Wadhwa, N., Garg, R., Liu, F., Xue, T. (Jan. 5, 2021)

IEEE Winter Conference on Applications of Computer Vision

Softmax Splatting For Video Frame Interpolation

Niklaus, S., Liu, F. (Jun. 13, 2020)

IEEE Conference on Computer Vision and Pattern Recognition

3D Ken Burns Effect from a Single Image

Niklaus, S., Mai, L., Yang, J., Liu, F. (Nov. 17, 2019)

ACM Transactions on Graphics

Context-aware Synthesis for Video Frame Interpolation

Niklaus, S., Liu, F. (Jun. 18, 2018)

IEEE Conference on Computer Vision and Pattern Recognition

Video Frame Interpolation via Adaptive Separable Convolution

Niklaus, S., Mai, L., Liu, F. (Oct. 20, 2017)

IEEE International Conference on Computer Vision

Video Frame Interpolation via Adaptive Convolution

Niklaus, S., Mai, L., Liu, F. (Jul. 28, 2017)

IEEE Conference on Computer Vision and Pattern Recognition