Shengyu Huang

According to our database, Shengyu Huang authored at least 30 papers between 2010 and 2024.

Collaborative distances:

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

2024

Reconstructing Multi-Body Dynamics for Compositional Neural Simulation.

Shengyu Huang

PhD thesis, 2024

Video Depth without Video Models.

Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler

CoRR, 2024

LoopSplat: Loop Closure by Registering 3D Gaussian Splats.

Liyuan Zhu, Yue Li, Erik Sandström, Shengyu Huang, Konrad Schindler, Iro Armeni

CoRR, 2024

DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control.

Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov

Proceedings of the Computer Vision - ECCV 2024, 2024

Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments.

Liyuan Zhu, Shengyu Huang, Konrad Schindler, Iro Armeni

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

Dynamic LiDAR Re-Simulation Using Compositional Neural Fields.

Hanfeng Wu, Xingxing Zuo, Stefan Leutenegger, Or Litany, Konrad Schindler, Shengyu Huang

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

NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces.

Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Yangyang Zhang, Cailin Wu, Zhuangda He, Shuangshuang Yin, Jiaxu Dong, Yangchenxu Liu, Hao Jiang, Jun Shi, Yong A, Yixiang Jin, Dingzhe Li, Bingxin Ke, Anton Obukhov, Tinafu Wang, Nando Metzger, Shengyu Huang, Konrad Schindler, Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, Zihao Huang, Tianqi Liu, Zhiguo Cao, Pengzhi Li, Jui-Lin Wang, Wenjie Zhu, Hui Geng, Yuxin Zhang, Long Lan, Kele Xu, Tao Sun, Qisheng Xu, Sourav Saini, Aashray Gupta, Sahaj K. Mistry, Aryan Shukla, Vinit Jakhetiya, Sunil Prasad Jaiswal, Yuejin Sun, Zhuofan Zheng, Yi Ning, Jen-Hao Cheng, Hou-I Liu, Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang, Yi-Hao Peng, Aishi Huang, Jenq-Neng Hwang

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

Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation.

Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, Konrad Schindler

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

2023

Nothing Stands Still: A Spatiotemporal Benchmark on 3D Point Cloud Registration Under Large Geometric and Temporal Change.

Tao Sun, Yan Hao, Shengyu Huang, Silvio Savarese, Konrad Schindler, Marc Pollefeys, Iro Armeni

CoRR, 2023

Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes.

Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, Sanja Fidler

CoRR, 2023

Approximate Selection with Unreliable Comparisons in Optimal Expected Time.

Shengyu Huang, Chih-Hung Liu, Daniel Rutschmann

Proceedings of the 40th International Symposium on Theoretical Aspects of Computer Science, 2023

Neural LiDAR Fields for Novel View Synthesis.

Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DeFlow: Self-supervised 3D Motion Estimation of Debris Flow.

Liyuan Zhu, Yuru Jia, Shengyu Huang, Nicholas Meyer, Andreas Wieser, Konrad Schindler, Jordan Aaron

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes.

Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, Sanja Fidler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking.

Xuewei Wang, Qiang Jin, Shengyu Huang, Min Zhang, Xi Liu, Zhengli Zhao, Yukun Chen, Zhengyu Zhang, Jiyan Yang, Ellie Wen, Sagar Chordia, Wenlin Chen, Qin Huang

Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2023) co-located with the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), 2023

2022

ImpliCity: City Modeling from Satellite Images with Deep Implicit Occupancy Fields.

Corinne Stucker, Bingxin Ke, Yuanwen Yue, Shengyu Huang, Iro Armeni, Konrad Schindler

CoRR, 2022

Dynamic 3D Scene Analysis by Point Cloud Accumulation.

Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser, Konrad Schindler

Proceedings of the Computer Vision - ECCV 2022, 2022

The Strategy and Implications of Space Narrative Used in the User Experience Design for Mixed Reality Marketing Scene.

Baifan Tao, Shengyu Huang, Xu Zhang, Bo Wang, Qiang Liu

Proceedings of the Design Studies and Intelligence Engineering, 2022

2021

Predator: Registration of 3D Point Clouds With Low Overlap.

Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Classification of Point Clouds for Indoor Components Using Few Labeled Samples.

Hangbin Wu, Huimin Yang, Shengyu Huang, Doudou Zeng, Chun Liu, Hao Zhang, Chi Guo, Long Chen

Remote. Sens., 2020

Indoor Scene Recognition in 3D.

Shengyu Huang, Mikhail Usvyatsov, Konrad Schindler

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2018

Unsupervised Hyperspectral Remote Sensing Image Clustering Based on Adaptive Density.

Huan Xie, Ang Zhao, Shengyu Huang, Jie Han, Sicong Liu, Xiong Xu, Xin Luo, Haiyan Pan, Qian Du, Xiaohua Tong

IEEE Geosci. Remote. Sens. Lett., 2018

2017

SIMDMS: Data Management and Analysis to Support Decision Making through Large Simulation Ensembles.

Silvestro Roberto Poccia, Maria Luisa Sapino, Sicong Liu, Xilun Chen, Yash Garg, Shengyu Huang, Jung Hyun Kim, Xinsheng Li, Parth Nagarkar, K. Selçuk Candan

Proceedings of the 20th International Conference on Extending Database Technology, 2017

2016

Reducing seed noise in personalized PageRank.

Shengyu Huang, Xinsheng Li, K. Selçuk Candan, Maria Luisa Sapino

Soc. Netw. Anal. Min., 2016

2PCP: Two-phase CP decomposition for billion-scale dense tensors.

Xinsheng Li, Shengyu Huang, K. Selçuk Candan, Maria Luisa Sapino

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

BICP: Block-Incremental CP Decomposition with Update Sensitive Refinement.

Shengyu Huang, K. Selçuk Candan, Maria Luisa Sapino

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2014

Focusing Decomposition Accuracy by Personalizing Tensor Decomposition (PTD).

Xinsheng Li, Shengyu Huang, Kasim Selçuk Candan, Maria Luisa Sapino

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

"Can you really trust that seed?": Reducing the impact of seed noise in personalized PageRank.

Shengyu Huang, Xinsheng Li, K. Selçuk Candan, Maria Luisa Sapino

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2012

R2DB: A System for Querying and Visualizing Weighted RDF Graphs.

Songling Liu, Juan P. Cedeño, K. Selçuk Candan, Maria Luisa Sapino, Shengyu Huang, Xinsheng Li

Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2010

Balancing load of shaper in WikiWinWin requirements negotiation environment: an empirical evaluation.

Peng Wan, Shengyu Huang, Juan Li, Da Yang, Ye Yang

Proceedings of the 11th International Conference on Product Focused Software, 2010