| Deep image blending L Zhang, T Wen, J Shi Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 106 | 2020 |
| Learning object placement by inpainting for compositional data augmentation L Zhang, T Wen, J Min, J Wang, D Han, J Shi Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 54 | 2020 |
| Quantitation of femtomolar‐level protein biomarkers using a simple microbubbling digital assay and bright‐field smartphone imaging H Chen, Z Li, L Zhang, P Sawaya, J Shi, P Wang Angewandte Chemie 131 (39), 14060-14066, 2019 | 45 | 2019 |
| Fine-grained egocentric hand-object segmentation: Dataset, model, and applications L Zhang, S Zhou, S Stent, J Shi European Conference on Computer Vision, 127-145, 2022 | 44 | 2022 |
| Multimodal image outpainting with regularized normalized diversification L Zhang, J Wang, J Shi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 20 | 2020 |
| Perceptual artifacts localization for inpainting L Zhang, Y Zhou, C Barnes, S Amirghodsi, Z Lin, E Shechtman, J Shi European Conference on Computer Vision, 146-164, 2022 | 17 | 2022 |
| Inpaint2learn: A self-supervised framework for affordance learning L Zhang, W Du, S Zhou, J Wang, J Shi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 7 | 2022 |
| Nested scale-editing for conditional image synthesis L Zhang, J Wang, Y Xu, J Min, T Wen, JC Gee, J Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 7 | 2020 |
| Perceptual artifacts localization for image synthesis tasks L Zhang, Z Xu, C Barnes, Y Zhou, Q Liu, H Zhang, S Amirghodsi, Z Lin, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Inpainting at modern camera resolution by guided patchmatch with auto-curation L Zhang, C Barnes, K Wampler, S Amirghodsi, E Shechtman, Z Lin, J Shi European Conference on Computer Vision, 51-67, 2022 | 5 | 2022 |
| Generating modified digital images using deep visual guided patch match models for image inpainting S Amirghodsi, L Zhang, Z Lin, C Barnes, E Shechtman US Patent App. 17/202,019, 2022 | 5 | 2022 |
| Amodal completion via progressive mixed context diffusion K Xu, L Zhang, J Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Detecting Image Attribution for Text-to-Image Diffusion Models in RGB and Beyond K Xu, L Zhang, J Shi arXiv preprint arXiv:2403.19653, 2024 | 2 | 2024 |
| Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models K Xu, L Zhang, J Shi arXiv preprint arXiv:2405.14828, 2024 | 1 | 2024 |
| Neural Embedding for Physical Manipulations L Zhang, A Cao, R Li, J Shi arXiv preprint arXiv:1907.06143, 2019 | 1 | 2019 |
| Generating iterative inpainting digital images via neural network based perceptual artifact segmentations S Amirghodsi, L Zhang, Z Lin, E Shechtman, Z Yuqian, C Barnes US Patent App. 17/815,418, 2024 | | 2024 |
| Generating neural network based perceptual artifact segmentations in modified portions of a digital image S Amirghodsi, L Zhang, Z Lin, E Shechtman, Z Yuqian, C Barnes US Patent App. 17/815,409, 2024 | | 2024 |
| Brush2Prompt: Contextual Prompt Generator for Object Inpainting MT Chiu, Y Zhou, L Zhang, Z Lin, C Barnes, S Amirghodsi, E Shechtman, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Jianbo ShiUniversity of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证
