| Learning to See in the Dark C Chen, Q Chen, J Xu, V Koltun Computer Vision and Pattern Recognition (CVPR), 2018 | 1540 | 2018 |
| Photographic Image Synthesis with Cascaded Refinement Networks Q Chen, V Koltun International Conference on Computer Vision (ICCV), 2017 | 1155 | 2017 |
| KNN Matting Q Chen, D Li, CK Tang Computer Vision and Pattern Recognition (CVPR), 2012 | 624 | 2012 |
| KNN Matting Q Chen, D Li, CK Tang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013 | 621 | 2013 |
| Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search Z Li, Q Chen, V Koltun Advances in Neural Information Processing Systems (NeurIPS), 2018 | 606 | 2018 |
| Fast Image Processing with Fully-Convolutional Networks Q Chen, J Xu, V Koltun International Conference on Computer Vision (ICCV), 2017 | 448 | 2017 |
| Involution: Inverting the Inherence of Convolution for Visual Recognition D Li, J Hu, C Wang, X Li, Q She, L Zhu, T Zhang, Q Chen Computer Vision and Pattern Recognition (CVPR), 2021 | 446 | 2021 |
| Single Image Reflection Separation with Perceptual Losses X Zhang, R Ng, Q Chen Computer Vision and Pattern Recognition (CVPR), 2018 | 398 | 2018 |
| Rodin: A generative model for sculpting 3d digital avatars using diffusion T Wang, B Zhang, T Zhang, S Gu, J Bao, T Baltrusaitis, J Shen, D Chen, ... Computer Vision and Pattern Recognition (CVPR), 2023 | 350 | 2023 |
| FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation Y He, H Huang, H Fan, Q Chen, J Sun Computer Vision and Pattern Recognition (CVPR), 2021 | 347 | 2021 |
| Latent video diffusion models for high-fidelity video generation with arbitrary lengths Y He, T Yang, Y Zhang, Y Shan, Q Chen arXiv preprint arXiv:2211.13221 2 (3), 4, 2022 | 334 | 2022 |
| FateZero: Fusing Attentions for Zero-shot Text-based Video Editing C Qi, X Cun, Y Zhang, C Lei, X Wang, Y Shan, Q Chen International Conference on Computer Vision (ICCV), 2023 | 316 | 2023 |
| Zoom to Learn, Learn to Zoom X Zhang, Q Chen, R Ng, V Koltun Computer Vision and Pattern Recognition (CVPR), 2019 | 308 | 2019 |
| High-Fidelity GAN Inversion for Image Attribute Editing T Wang, Y Zhang, Y Fan, J Wang, Q Chen Computer Vision and Pattern Recognition (CVPR), 2022 | 304 | 2022 |
| Seeing Motion in the Dark C Chen, Q Chen, MN Do, V Koltun International Conference on Computer Vision (ICCV), 2019 | 273 | 2019 |
| VideoCrafter1: Open Diffusion Models for High-Quality Video Generation H Chen, M Xia, Y He, Y Zhang, X Cun, S Yang, J Xing, Y Liu, Q Chen, ... arXiv preprint arXiv:2310.19512, 2023 | 262 | 2023 |
| Interactive Image Segmentation with Latent Diversity Z Li, Q Chen, V Koltun Computer Vision and Pattern Recognition (CVPR), 2018 | 261 | 2018 |
| A Simple Model for Intrinsic Image Decomposition with Depth Cues Q Chen, V Koltun International Conference on Computer Vision (ICCV), 2013 | 247 | 2013 |
| Dense Monocular Depth Estimation in Complex Dynamic Scenes R Ranftl, V Vineet, Q Chen, V Koltun Computer Vision and Pattern Recognition (CVPR), 2016 | 229 | 2016 |
| Speech Denoising with Deep Feature Losses FG Germain, Q Chen, V Koltun INTERSPEECH, 2019 | 227* | 2019 |
Vladlen KoltunDistinguished Scientist, Appleapple.com의 이메일 확인됨
