| 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans J Hou, A Dai, M Nießner Computer Vision and Pattern Recognition (CVPR), 4421-4430, 2019 | 469 | 2019 |
| Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts J Hou, B Graham, M Nießner, S Xie Computer Vision and Pattern Recognition (CVPR), 15587-15597, 2021 | 232 | 2021 |
| Pri3D: Can 3D Priors Help 2D Representation Learning? J Hou, S Xie, B Graham, A Dai, M Nießner International Conference on Computer Vision (ICCV), 5693-5702, 2021 | 63 | 2021 |
| RevealNet: Seeing Behind Objects in RGB-D Scans J Hou, A Dai, M Nießner Computer Vision and Pattern Recognition (CVPR), 2098-2107, 2020 | 61 | 2020 |
| RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction Y Nie, J Hou, X Han, M Nießner Computer Vision and Pattern Recognition (CVPR), 4608-4618, 2021 | 60 | 2021 |
| Panoptic 3D Scene Reconstruction From a Single RGB Image M Dahnert, J Hou, M Nießner, A Dai Advances in Neural Information Processing Systems (NeurIPS) 34, 8282-8293, 2021 | 54 | 2021 |
| Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack X Dai, J Hou, CY Ma, S Tsai, J Wang, R Wang, P Zhang, S Vandenhende, ... arXiv preprint arXiv:2309.15807, 2023 | 50 | 2023 |
| Rotation-Invariant Transformer for Point Cloud Matching H Yu, Z Qin, J Hou, M Saleh, D Li, B Busam, S Ilic Computer Vision and Pattern Recognition (CVPR), 5384-5393, 2023 | 38 | 2023 |
| NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection C Xu, B Wu, J Hou*, S Tsai, R Li, J Wang, W Zhan, Z He, P Vajda, ... International Conference on Computer Vision (ICCV), 23320-23330, 2023 | 23 | 2023 |
| PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry Y Zhang, J Yu, X Huang, W Zhou, J Hou European Conference on Computer Vision (ECCV), 443-459, 2022 | 14 | 2022 |
| RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration H Yu, J Hou, Z Qin, M Saleh, I Shugurov, K Wang, B Busam, S Ilic IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 | 13 | 2024 |
| Deep Face Forgery Detection N Dogonadze, J Obernosterer, J Hou arXiv preprint arXiv:2004.11804, 2020 | 13 | 2020 |
| 3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion YJ Li, T Xu, J Hou, B Wu, X Dai, A Pumarola, P Zhang, P Vajda, K Kitani arXiv preprint arXiv:2303.11938, 2023 | 6 | 2023 |
| Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors J Hou, X Dai, Z He, A Dai, M Nießner Computer Vision and Pattern Recognition (CVPR), 13510-13519, 2023 | 6 | 2023 |
| ControlRoom3D: Room generation using semantic proxy rooms J Schult, S Tsai, L Höllein, B Wu, J Wang, CY Ma, K Li, X Wang, ... arXiv preprint arXiv:2312.05208, 2023 | 4 | 2023 |
| Cache Me if You Can: Accelerating Diffusion Models through Block Caching F Wimbauer, B Wu, E Schoenfeld, X Dai, J Hou, Z He, A Sanakoyeu, ... arXiv preprint arXiv:2312.03209, 2023 | 1 | 2023 |
| Learning Priors from RGB-D Data for 3D Scene Understanding J Hou Technische Universität München (TUM), 2021 | | 2021 |
| Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors Supplementary Material J Hou, X Dai, Z He, A Dai, M Nießner | | |
| Pri3D: Can 3D Priors Help 2D Representation Learning? Supplementary Material J Hou, S Xie, B Graham, A Dai, M Nießner | | |
| Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts Supplementary Material J Hou, B Graham, M Nießner, S Xie | | |
Matthias NießnerProfessor of Computer Science, Technical University of MunichVerified email at tum.de
