Yixing Lao

20 papers A* 5Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting.
CoRR
Yixing Lao, Xuyang Bai, Xiaoyang Wu, Nuoyuan Yan, Zixin Luo, Tian Fang, Jean-Daniel Nahmias, Yanghai Tsin, Shiwei Li, Hengshuang Zhao
2025 J jnl
Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations.
CoRR
Yujia Zhang, Xiaoyang Wu, Yixing Lao, Chengyao Wang, Zhuotao Tian, Naiyan Wang, Hengshuang Zhao
2024 A* conf
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis.
CVPR
Tang Tao, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang
2024 J jnl
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis.
CoRR
Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang
2024 A* conf
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields.
ACM Multimedia
Tang Tao, Longfei Gao, Guangrun Wang, Yixing Lao, Peng Chen, Hengshuang Zhao, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu
2024 A* conf
LiT: Unifying LiDAR "Languages" with LiDAR Translator.
NeurIPS
Yixing Lao, Tao Tang, Xiaoyang Wu, Peng Chen, Kaicheng Yu, Hengshuang Zhao
2024 — conf
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting.
3DV
Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepúlveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan R. Richter, Shenlong Wang, Germán Ros
2024 J jnl
Objects With Lighting: A Real-World Dataset for Evaluating Reconstruction and Rendering for Object Relighting.
CoRR
Benjamin Ummenhofer, Sanskar Agrawal, Rene Sepúlveda, Yixing Lao, Kai Zhang, Tianhang Cheng, Stephan R. Richter, Shenlong Wang, Germán Ros
2024 — conf
Pixel-GS: Density Control with Pixel-Aware Gradient for 3D Gaussian Splatting.
ECCV (19)
Zheng Zhang, Wenbo Hu, Yixing Lao, Tong He, Hengshuang Zhao
2024 J jnl
Pixel-GS: Density Control with Pixel-aware Gradient for 3D Gaussian Splatting.
CoRR
Zheng Zhang, Wenbo Hu, Yixing Lao, Tong He, Hengshuang Zhao
2023 J jnl
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun
2023 A* conf
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields.
NeurIPS
Yixing Lao, Xiaogang Xu, Zhipeng Cai, Xihui Liu, Hengshuang Zhao
2023 J jnl
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields.
CoRR
Yixing Lao, Xiaogang Xu, Zhipeng Cai, Xihui Liu, Hengshuang Zhao
2022 A* conf
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling.
NeurIPS
Xiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao
2022 J jnl
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling.
CoRR
Xiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao
2021 J jnl
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception.
CoRR
Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun
2019 J jnl
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data.
IACR Cryptol. ePrint Arch.
Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski
2019 — conf
nGraph-HE: a graph compiler for deep learning on homomorphically encrypted data.
CF
Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski
2018 J jnl
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning.
CoRR
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
2018 J jnl
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data.
CoRR
Fabian Boemer, Yixing Lao, Casimir Wierzynski