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2020 – today
- 2024
[j2]Hao Yu
, Ji Hou, Zheng Qin, Mahdi Saleh, Ivan Shugurov, Kai Wang, Benjamin Busam, Slobodan Ilic:
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3796-3812 (2024)- [c14]Chaoyi Zhang, Xitong Yang, Ji Hou, Kris Kitani, Weidong Cai, Fu-Jen Chu:
EgoSG: Learning 3D Scene Graphs from Egocentric RGB-D Sequences. CVPR Workshops 2024: 2535-2545 - [c13]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:
ControlRoom3D: Room Generation Using Semantic Proxy Rooms. CVPR 2024: 6201-6210 - [c12]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:
Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CVPR 2024: 6211-6220 - [i16]Yuzhong Huang, Chen Liu, Ji Hou, Ke Huo, Shiyu Dong, Fred Morstatter:
UniPlane: Unified Plane Detection and Reconstruction from Posed Monocular Videos. CoRR abs/2407.03594 (2024) - 2023
- [c11]Hao Yu, Zheng Qin, Ji Hou, Mahdi Saleh, Dongsheng Li, Benjamin Busam, Slobodan Ilic:
Rotation-Invariant Transformer for Point Cloud Matching. CVPR 2023: 5384-5393 - [c10]Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner:
Mask3D: Pretraining 2D Vision Transformers by Learning Masked 3D Priors. CVPR 2023: 13510-13519 - [c9]Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. ICCV 2023: 23263-23273 - [i15]Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou:
PCR-CG: Point Cloud Registration via Deep Color and Geometry. CoRR abs/2302.14418 (2023) - [i14]Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner:
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors. CoRR abs/2302.14746 (2023) - [i13]Hao Yu, Zheng Qin, Ji Hou, Mahdi Saleh, Dong Sheng Li, Benjamin Busam, Slobodan Ilic:
Rotation-Invariant Transformer for Point Cloud Matching. CoRR abs/2303.08231 (2023) - [i12]Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka:
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. CoRR abs/2307.14620 (2023) - [i11]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:
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. CoRR abs/2309.15807 (2023) - [i10]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:
Cache Me if You Can: Accelerating Diffusion Models through Block Caching. CoRR abs/2312.03209 (2023) - [i9]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:
ControlRoom3D: Room Generation using Semantic Proxy Rooms. CoRR abs/2312.05208 (2023) - 2022
- [c8]Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou:
PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry. ECCV (10) 2022: 443-459 - [i8]Hao Yu, Ji Hou, Zheng Qin, Mahdi Saleh, Ivan Shugurov, Kai Wang, Benjamin Busam, Slobodan Ilic:
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration. CoRR abs/2209.13252 (2022) - 2021
- [b1]Ji Hou:
Learning Priors from RGB-D Data for 3D Scene Understanding. Technical University of Munich, Germany, 2021 - [c7]Yinyu Nie, Ji Hou, Xiaoguang Han, Matthias Nießner:
RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction. CVPR 2021: 4608-4618 - [c6]Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie:
Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts. CVPR 2021: 15587-15597 - [c5]Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner:
Pri3D: Can 3D Priors Help 2D Representation Learning? ICCV 2021: 5673-5682 - [c4]Manuel Dahnert, Ji Hou, Matthias Nießner, Angela Dai:
Panoptic 3D Scene Reconstruction From a Single RGB Image. NeurIPS 2021: 8282-8293 - [i7]Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner:
Pri3D: Can 3D Priors Help 2D Representation Learning? CoRR abs/2104.11225 (2021) - [i6]Manuel Dahnert, Ji Hou, Matthias Nießner, Angela Dai:
Panoptic 3D Scene Reconstruction From a Single RGB Image. CoRR abs/2111.02444 (2021) - 2020
- [c3]Ji Hou, Angela Dai, Matthias Nießner:
RevealNet: Seeing Behind Objects in RGB-D Scans. CVPR 2020: 2095-2104 - [i5]Nika Dogonadze, Jana Obernosterer, Ji Hou:
Deep Face Forgery Detection. CoRR abs/2004.11804 (2020) - [i4]Yinyu Nie, Ji Hou, Xiaoguang Han, Matthias Nießner:
RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction. CoRR abs/2011.14744 (2020) - [i3]Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie:
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts. CoRR abs/2012.09165 (2020)
2010 – 2019
- 2019
- [c2]Ji Hou, Angela Dai, Matthias Nießner:
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans. CVPR 2019: 4421-4430 - [i2]Ji Hou, Angela Dai, Matthias Nießner:
3D-SIC: 3D Semantic Instance Completion for RGB-D Scans. CoRR abs/1904.12012 (2019) - 2018
- [j1]Weichuan Yin, Shiwei He, Yingqun Zhang, Ji Hou:
A Product-Focused, Cloud-Based Approach to Door-to-Door Railway Freight Design. IEEE Access 6: 20822-20836 (2018) - [i1]Ji Hou, Angela Dai, Matthias Nießner:
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans. CoRR abs/1812.07003 (2018) - 2012
- [c1]Huazheng Qin, Xing Wu, Ji Hou, Hanyu Wang, Wu Zhang, Wanchun Dou:
Self-Adaptive Cloud Pricing Strategies with Markov Prediction and Data Mining Method. CDC 2012: 219-226
Coauthor Index
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last updated on 2024-10-11 17:27 CEST by the dblp team
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