Self-Adaptive Cloud Pricing Strategies with Markov Prediction and Data Mining Method. - Huazheng Qin; Xing Wu 001; Ji Hou; Hanyu Wang; Wu Zhang; Wanchun Dou (CDC, 2012)

A Product-Focused, Cloud-Based Approach to Door-to-Door Railway Freight Design. - Weichuan Yin; Shiwei He; Yingqun Zhang; Ji Hou (IEEE Access, 2018)

3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans. - Ji Hou; Angela Dai; Matthias Nießner (CVPR, 2019)

3D-SIC: 3D Semantic Instance Completion for RGB-D Scans. - Ji Hou; Angela Dai; Matthias Nießner (CoRR, 2019)

RevealNet: Seeing Behind Objects in RGB-D Scans. - Ji Hou; Angela Dai; Matthias Nießner (CVPR, 2020)

Deep Face Forgery Detection. - Nika Dogonadze; Jana Obernosterer; Ji Hou (CoRR, 2020)

Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts. - Ji Hou; Benjamin Graham; Matthias Nießner; Saining Xie (CVPR, 2021)

RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction. - Yinyu Nie; Ji Hou; Xiaoguang Han 001; Matthias Nießner (CVPR, 2021)

Pri3D: Can 3D Priors Help 2D Representation Learning? - Ji Hou; Saining Xie; Benjamin Graham; Angela Dai; Matthias Nießner (ICCV, 2021)

Panoptic 3D Scene Reconstruction From a Single RGB Image. - Manuel Dahnert; Ji Hou; Matthias Nießner; Angela Dai (NeurIPS, 2021)

Learning Priors from RGB-D Data for 3D Scene Understanding. - Ji Hou (2021)

PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry. - Yu Zhang; Junle Yu; Xiaolin Huang; Wenhui Zhou 001; Ji Hou (ECCV (10), 2022)

Rotation-Invariant Transformer for Point Cloud Matching. - Hao Yu 010; Zheng Qin 002; Ji Hou; Mahdi Saleh; Dongsheng Li 001; Benjamin Busam; Slobodan Ilic (CVPR, 2023)

Mask3D: Pretraining 2D Vision Transformers by Learning Masked 3D Priors. - Ji Hou; Xiaoliang Dai; Zijian He; Angela Dai; Matthias Nießner (CVPR, 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 001; Wei Zhan; Zijian He; Peter Vajda; Kurt Keutzer; Masayoshi Tomizuka (ICCV, 2023)

PCR-CG: Point Cloud Registration via Deep Color and Geometry. - Yu Zhang; Junle Yu; Xiaolin Huang; Wenhui Zhou 001; Ji Hou (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)

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. - Xiaoliang Dai; Ji Hou; Chih-Yao Ma; Sam S. Tsai; Jialiang Wang 001; Rui Wang 067; Peizhao Zhang; Simon Vandenhende; Xiaofang Wang; Abhimanyu Dubey; Matthew Yu; Abhishek Kadian; et al. (CoRR, 2023)

ControlRoom3D: Room Generation Using Semantic Proxy Rooms. - Jonas Schult; Sam S. Tsai; Lukas Höllein; Bichen Wu; Jialiang Wang 001; Chih-Yao Ma; Kunpeng Li; Xiaofang Wang; Felix Wimbauer; Zijian He; Peizhao Zhang; Bastian Leibe; et al. (CVPR, 2024)

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 001; Daniel Cremers; et al. (CVPR, 2024)

EgoSG: Learning 3D Scene Graphs from Egocentric RGB-D Sequences. - Chaoyi Zhang; Xitong Yang; Ji Hou; Kris Kitani; Weidong Cai 001; Fu-Jen Chu (CVPR Workshops, 2024)

UniPlane: Unified Plane Detection and Reconstruction from Posed Monocular Videos. - Yuzhong Huang; Chen Liu; Ji Hou; Ke Huo; Shiyu Dong; Fred Morstatter (CoRR, 2024)

Pixel-Space Post-Training of Latent Diffusion Models. - Christina Zhang; Simran Motwani; Matthew Yu; Ji Hou; Felix Juefei-Xu; Sam S. Tsai; Peter Vajda; Zijian He; Jialiang Wang 001 (CoRR, 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration. - Hao Yu 010; Ji Hou; Zheng Qin 002; Mahdi Saleh; Ivan Shugurov; Kai Wang 037; Benjamin Busam; Slobodan Ilic (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity. - Hongjie Wang 002; Chih-Yao Ma; Yen-Cheng Liu; Ji Hou; Tao Xu; Jialiang Wang 001; Felix Juefei-Xu; Yaqiao Luo; Peizhao Zhang; Tingbo Hou; Peter Vajda; Niraj K. Jha; et al. (CVPR, 2025)

Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts. - Feng Liang; Haoyu Ma; Zecheng He; Tingbo Hou; Ji Hou; Kunpeng Li; Xiaoliang Dai; Felix Juefei-Xu; Samaneh Azadi; Animesh Sinha; Peizhao Zhang; Peter Vajda; et al. (CVPR, 2025)

MoCha: Towards Movie-Grade Talking Character Synthesis. - Cong Wei 001; Bo Sun; Haoyu Ma; Ji Hou; Felix Juefei-Xu; Zecheng He; Xiaoliang Dai; Luxin Zhang; Kunpeng Li; Tingbo Hou; Animesh Sinha; Peter Vajda; et al. (CoRR, 2025)

Transfer between Modalities with MetaQueries. - Xichen Pan; Satya Narayan Shukla; Aashu Singh; Zhuokai Zhao; Shlok Kumar Mishra; Jialiang Wang 001; Zhiyang Xu; Jiuhai Chen; Kunpeng Li; Felix Juefei-Xu; Ji Hou; Saining Xie (CoRR, 2025)

Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models. - Xu Ma; Peize Sun; Haoyu Ma; Hao Tang; Chih-Yao Ma; Jialiang Wang 001; Kunpeng Li; Xiaoliang Dai; Yujun Shi; Xuan Ju; Yushi Hu; Artsiom Sanakoyeu; et al. (CoRR, 2025)

StreamDiT: Real-Time Streaming Text-to-Video Generation. - Akio Kodaira; Tingbo Hou; Ji Hou; Masayoshi Tomizuka; Yue Zhao (CoRR, 2025)