Ji Hou

According to our database, Ji Hou authored at least 22 papers between 2012 and 2024.

Collaborative distances:

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

2024

RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration.

Hao Yu, Ji Hou, Zheng Qin, Mahdi Saleh, Ivan Shugurov, Kai Wang, Benjamin Busam, Slobodan Ilic

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

2023

ControlRoom3D: Room Generation using Semantic Proxy Rooms.

Jonas Schult, Sam S. Tsai, Lukas Höllein, Bichen Wu, Jialiang Wang, Chih-Yao Ma, Kunpeng Li, Xiaofang Wang, Felix Wimbauer, Zijian He, Peizhao Zhang, Bastian Leibe, Peter Vajda, Ji Hou

CoRR, 2023

Cache Me if You Can: Accelerating Diffusion Models through Block Caching.

Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang

CoRR, 2023

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

Xiaoliang Dai, Ji Hou, Chih-Yao Ma, Sam S. Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh

CoRR, 2023

Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors.

Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner

CoRR, 2023

PCR-CG: Point Cloud Registration via Deep Color and Geometry.

Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou

CoRR, 2023

NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection.

Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka

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

Mask3D: Pretraining 2D Vision Transformers by Learning Masked 3D Priors.

Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner

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

Rotation-Invariant Transformer for Point Cloud Matching.

Hao Yu, Zheng Qin, Ji Hou, Mahdi Saleh, Dongsheng Li, Benjamin Busam, Slobodan Ilic

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

2022

RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration.

Hao Yu, Ji Hou, Zheng Qin, Mahdi Saleh, Ivan Shugurov, Kai Wang, Benjamin Busam, Slobodan Ilic

CoRR, 2022

PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry.

Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Learning Priors from RGB-D Data for 3D Scene Understanding.

Ji Hou

PhD thesis, 2021

Panoptic 3D Scene Reconstruction From a Single RGB Image.

Manuel Dahnert, Ji Hou, Matthias Nießner, Angela Dai

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Pri3D: Can 3D Priors Help 2D Representation Learning?

Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction.

Yinyu Nie, Ji Hou, Xiaoguang Han, Matthias Nießner

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

Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts.

Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie

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

2020

Deep Face Forgery Detection.

Nika Dogonadze, Jana Obernosterer, Ji Hou

CoRR, 2020

RevealNet: Seeing Behind Objects in RGB-D Scans.

Ji Hou, Angela Dai, Matthias Nießner

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

3D-SIC: 3D Semantic Instance Completion for RGB-D Scans.

Ji Hou, Angela Dai, Matthias Nießner

CoRR, 2019

3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans.

Ji Hou, Angela Dai, Matthias Nießner

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Product-Focused, Cloud-Based Approach to Door-to-Door Railway Freight Design.

Weichuan Yin, Shiwei He, Yingqun Zhang, Ji Hou

IEEE Access, 2018

2012

Self-Adaptive Cloud Pricing Strategies with Markov Prediction and Data Mining Method.

Huazheng Qin, Xing Wu, Ji Hou, Hanyu Wang, Wu Zhang, Wanchun Dou

Proceedings of the 2012 International Conference on Cloud and Service Computing, 2012