Yixing Lao

According to our database, Yixing Lao authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting.

Zheng Zhang, Wenbo Hu, Yixing Lao, Tong He, Hengshuang Zhao

CoRR, 2024

AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis.

Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang

CoRR, 2024

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields.

Tang Tao, Longfei Gao, Guangrun Wang, Yixing Lao, Peng Chen, Hengshuang Zhao, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis.

Tang Tao, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting.

Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepúlveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan R. Richter, Shenlong Wang, Germán Ros

Proceedings of the International Conference on 3D Vision, 2024

2023

ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception.

Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

CorresNeRF: Image Correspondence Priors for Neural Radiance Fields.

Yixing Lao, Xiaogang Xu, Zhipeng Cai, Xihui Liu, Hengshuang Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Point Transformer V2: Grouped Vector Attention and Partition-based Pooling.

Xiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2019

nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data.

Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski

IACR Cryptol. ePrint Arch., 2019

2018

nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data.

Fabian Boemer, Yixing Lao, Casimir Wierzynski

CoRR, 2018

Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning.

Scott Cyphers, Arjun K. Bansal, Anahita Bhiwandiwalla, Jayaram Bobba, Matthew Brookhart, Avijit Chakraborty, William Constable, Christian Convey, Leona Cook, Omar Kanawi, Robert Kimball, Jason Knight, Nikolay Korovaiko, Varun Kumar Vijay, Yixing Lao, Christopher R. Lishka, Jaikrishnan Menon, Jennifer Myers, Sandeep Aswath Narayana, Adam Procter, Tristan J. Webb

CoRR, 2018