Joint learning of saliency detection and weakly supervised semantic segmentation Y Zeng, Y Zhuge, H Lu, L Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 225 | 2019 |
Multi-source weak supervision for saliency detection Y Zeng, Y Zhuge, H Lu, L Zhang, M Qian, Y Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 194 | 2019 |
High-resolution image inpainting with iterative confidence feedback and guided upsampling Y Zeng, Z Lin, J Yang, J Zhang, E Shechtman, H Lu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 168 | 2020 |
CR-Fill: Generative Image Inpainting With Auxiliary Contextual Reconstruction Y Zeng, Z Lin, H Lu, VM Patel Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 112 | 2021 |
Learning to promote saliency detectors Y Zeng, H Lu, L Zhang, M Feng, A Borji Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 68 | 2018 |
An unsupervised game-theoretic approach to saliency detection Y Zeng, M Feng, H Lu, G Yang, A Borji IEEE Transactions on Image Processing 27 (9), 4545-4554, 2018 | 42 | 2018 |
Sketchedit: Mask-free local image manipulation with partial sketches Y Zeng, Z Lin, VM Patel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 35 | 2022 |
Deep embedding features for salient object detection Y Zhuge, Y Zeng, H Lu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9340-9347, 2019 | 34 | 2019 |
Scenecomposer: Any-level semantic image synthesis Y Zeng, Z Lin, J Zhang, Q Liu, J Collomosse, J Kuen, VM Patel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
AIM 2020 challenge on image extreme inpainting E Ntavelis, A Romero, S Bigdeli, R Timofte, Z Hui, X Wang, X Gao, C Shin, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 24 | 2020 |
Learning to detect salient object with multi-source weak supervision H Zhang, Y Zeng, H Lu, L Zhang, J Li, J Qi IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (7), 3577-3589, 2021 | 21 | 2021 |
Statistics of deep generated images Y Zeng, H Lu, A Borji arXiv preprint arXiv:1708.02688, 2017 | 18 | 2017 |
Shape-guided object inpainting Y Zeng, Z Lin, VM Patel arXiv preprint arXiv:2204.07845, 2022 | 8 | 2022 |
Securing deep generative models with universal adversarial signature Y Zeng, M Zhou, Y Xue, VM Patel arXiv preprint arXiv:2305.16310, 2023 | 6 | 2023 |
Guided up-sampling for image inpainting Z Lin, Y Zeng, J Yang, J Zhang, E Shechtman US Patent 11,948,281, 2024 | 5 | 2024 |
Iterative image inpainting with confidence feedback Z Lin, Y Zeng, J Yang, J Zhang, E Shechtman US Patent 11,398,015, 2022 | 2 | 2022 |
Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image Y Mei, Y Zeng, H Zhang, Z Shu, X Zhang, S Bi, J Zhang, HJ Jung, ... arXiv preprint arXiv:2403.09632, 2024 | | 2024 |
Large Occluded Human Image Completion via Image-Prior Cooperating H Zhao, Y Zeng, H Lu, L Wang Proceedings of the AAAI Conference on Artificial Intelligence, 2024 | | 2024 |
Deformable Dynamic Sampling and Dynamic Predictable Mask Mining for Image Inpainting C Shang, Y Zeng, S Yang, X Jia, H Lu, Y He IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
JR2Net: joint monocular 3D face reconstruction and reenactment J Shang, Y Zeng, X Qiao, X Wang, R Zhang, G Sun, V Patel, H Fu Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2200-2208, 2023 | | 2023 |