| Unbiased teacher for semi-supervised object detection YC Liu, CY Ma, Z He, CW Kuo, K Chen, P Zhang, B Wu, Z Kira, P Vajda arXiv preprint arXiv:2102.09480, 2021 | 555 | 2021 |
| Fbnetv2: Differentiable neural architecture search for spatial and channel dimensions A Wan, X Dai, P Zhang, Z He, Y Tian, S Xie, B Wu, M Yu, T Xu, K Chen, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 368 | 2020 |
| Cross-domain adaptive teacher for object detection YJ Li, X Dai, CY Ma, YC Liu, K Chen, B Wu, Z He, K Kitani, P Vajda Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 213 | 2022 |
| 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 | 162 | 2023 |
| Fbnetv3: Joint architecture-recipe search using predictor pretraining X Dai, A Wan, P Zhang, B Wu, Z He, Z Wei, K Chen, Y Tian, M Yu, P Vajda, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 128 | 2021 |
| Efficient segmentation: Learning downsampling near semantic boundaries D Marin, Z He, P Vajda, P Chatterjee, S Tsai, F Yang, Y Boykov Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 101 | 2019 |
| One shot 3d photography J Kopf, K Matzen, S Alsisan, O Quigley, F Ge, Y Chong, J Patterson, ... ACM Transactions on Graphics (TOG) 39 (4), 76: 1-76: 13, 2020 | 86 | 2020 |
| Fbnetv3: Joint architecture-recipe search using neural acquisition function X Dai, A Wan, P Zhang, B Wu, Z He, Z Wei, K Chen, Y Tian, M Yu, P Vajda, ... arXiv preprint arXiv:2006.02049 1 (2), 3, 2020 | 70 | 2020 |
| Polyhistor: Parameter-efficient multi-task adaptation for dense vision tasks YC Liu, CY Ma, J Tian, Z He, Z Kira Advances in Neural Information Processing Systems 35, 36889-36901, 2022 | 57 | 2022 |
| 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, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 47 | 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, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 36 | 2024 |
| Open-set semi-supervised object detection YC Liu, CY Ma, X Dai, J Tian, P Vajda, Z He, Z Kira European Conference on Computer Vision, 143-159, 2022 | 29 | 2022 |
| Controlroom3d: Room generation using semantic proxy rooms J Schult, S Tsai, L Höllein, B Wu, J Wang, CY Ma, K Li, X Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 26 | 2024 |
| Mask3d: Pre-training 2d vision transformers by learning masked 3d priors J Hou, X Dai, Z He, A Dai, M Nießner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 17 | 2023 |
| Enabling full body AR with Mask R-CNN2Go A Jindal, A Tulloch, B Sharma, B Wasti, F Yang, G Gkioxari, J Kim, ... | 9 | 2018 |
| A practical stereo depth system for smart glasses J Wang, D Scharstein, A Bapat, K Blackburn-Matzen, M Yu, J Lehman, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Cross-domain object detection via adaptive self-training YJ Li, X Dai, CY Ma, YC Liu, K Chen, B Wu, Z He, K Kitani, P Vajda CoRR, 2021 | 7 | 2021 |
| Content-adaptive non-uniform image downsampling using predictive auxiliary convolutional neural network Z He, P Vajda, P Chatterjee, S Tsai, D Marin US Patent 11,170,470, 2021 | 4 | 2021 |
| Pixel-Space Post-Training of Latent Diffusion Models C Zhang, S Motwani, M Yu, J Hou, F Juefei-Xu, S Tsai, P Vajda, Z He, ... arXiv preprint arXiv:2409.17565, 2024 | 1 | 2024 |
| Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors Supplementary Material J Hou, X Dai, Z He, A Dai, M Nießner | | |
Bichen WuStealth Startup. ex GenAI at Meta, UC BerkeleyΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα berkeley.edu
