| Align your latents: High-resolution video synthesis with latent diffusion models A Blattmann, R Rombach, H Ling, T Dockhorn, SW Kim, S Fidler, K Kreis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 665 | 2023 |
| Efficient interactive annotation of segmentation datasets with polygon-rnn++ D Acuna, H Ling, A Kar, S Fidler Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018 | 500 | 2018 |
| Learning to predict 3d objects with an interpolation-based differentiable renderer W Chen, H Ling, J Gao, E Smith, J Lehtinen, A Jacobson, S Fidler Advances in neural information processing systems 32, 2019 | 418 | 2019 |
| Datasetgan: Efficient labeled data factory with minimal human effort Y Zhang, H Ling, J Gao, K Yin, JF Lafleche, A Barriuso, A Torralba, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 339 | 2021 |
| Fast interactive object annotation with curve-gcn H Ling, J Gao, A Kar, W Chen, S Fidler Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 310 | 2019 |
| Editgan: High-precision semantic image editing H Ling, K Kreis, D Li, SW Kim, A Torralba, S Fidler Advances in Neural Information Processing Systems 34, 16331-16345, 2021 | 232 | 2021 |
| Bigdatasetgan: Synthesizing imagenet with pixel-wise annotations D Li, H Ling, SW Kim, K Kreis, S Fidler, A Torralba Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 90 | 2022 |
| Object instance annotation with deep extreme level set evolution Z Wang, D Acuna, H Ling, A Kar, S Fidler Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 87 | 2019 |
| Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models H Ling, SW Kim, A Torralba, S Fidler, K Kreis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 67 | 2024 |
| Adversarial contrastive estimation AJ Bose, H Ling, Y Cao arXiv preprint arXiv:1805.03642, 2018 | 65 | 2018 |
| Teaching machines to describe images via natural language feedback H Ling, S Fidler Proceedings of the 31st International Conference on Neural Information …, 2017 | 58 | 2017 |
| Variational amodal object completion H Ling, D Acuna, K Kreis, SW Kim, S Fidler Advances in Neural Information Processing Systems 33, 16246-16257, 2020 | 41 | 2020 |
| Scribblebox: Interactive annotation framework for video object segmentation B Chen, H Ling, X Zeng, J Gao, Z Xu, S Fidler Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 21 | 2020 |
| Teaching machines to describe images with natural language feedback S Fidler Advances in Neural Information Processing Systems 30, 2017 | 20 | 2017 |
| Systems and methods for polygon object annotation and a method of training and object annotation system S Fidler, A Kar, H Ling, J Gao, W Chen, DJA Marrero US Patent 10,643,130, 2020 | 16 | 2020 |
| Generating labels for synthetic images using one or more neural networks Y Zhang, H Ling, J Gao, W Chen, AT Barriuso, S Fidler US Patent App. 17/020,649, 2022 | 14 | 2022 |
| Object image completion S Fidler, DA Marrero, SW Kim, KJ Kreis, H Ling US Patent App. 17/006,702, 2022 | 12 | 2022 |
| Dreamteacher: Pretraining image backbones with deep generative models D Li, H Ling, A Kar, D Acuna, SW Kim, K Kreis, A Torralba, S Fidler Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| 3difftection: 3d object detection with geometry-aware diffusion features C Xu, H Ling, S Fidler, O Litany Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| L4GM: Large 4D Gaussian Reconstruction Model J Ren, K Xie, A Mirzaei, H Liang, X Zeng, K Kreis, Z Liu, A Torralba, ... arXiv preprint arXiv:2406.10324, 2024 | 5 | 2024 |
