Yixing Lao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Lambertian Reflectance

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Zheng Zhang, Wenbo Hu, Yixing Lao, Tong He, Hengshuang Zhao
Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting. CoRR (2024)
Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepúlveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan Richter, Shenlong Wang, Germán Ros
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting. CoRR (2024)
Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepúlveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan R. Richter, Shenlong Wang, Germán Ros
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting. 3DV (2024)
Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. CoRR (2024)
Yixing Lao, Xiaogang Xu, Zhipeng Cai, Xihui Liu, Hengshuang Zhao
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields. CoRR (2023)
Yixing Lao, Xiaogang Xu, Zhipeng Cai, Xihui Liu, Hengshuang Zhao
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields. NeurIPS (2023)
Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Xiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling. NeurIPS (2022)
Xiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling. CoRR (2022)
Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. CoRR (2021)
Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data. IACR Cryptol. ePrint Arch. 2019 (2019)
Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski
nGraph-HE: a graph compiler for deep learning on homomorphically encrypted data. CF (2019)
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
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning. CoRR (2018)
Fabian Boemer, Yixing Lao, Casimir Wierzynski
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data. CoRR (2018)