| In Defense of Online Models for Video Instance Segmentation J Wu*, Q Liu*, Y Jiang, S Bai, A Yuille, X Bai European Conference on Computer Vision (ECCV) 2022, 2022 | 137 | 2022 |
| General Object Foundation Model for Images and Videos at Scale J Wu*, Y Jiang*, Q Liu, Z Yuan, X Bai, S Bai Computer Vision and Pattern Recognition Conference (CVPR) 2024, 2023 | 43 | 2023 |
| Learning part segmentation through unsupervised domain adaptation from synthetic vehicles Q Liu, A Kortylewski, Z Zhang, Z Li, M Guo, Q Liu, X Yuan, J Mu, W Qiu, ... Computer Vision and Pattern Recognition Conference (CVPR) 2022, 2022 | 37* | 2022 |
| Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation Q Liu, W Qiu, W Wang, GD Hager, AL Yuille arXiv preprint arXiv:2012.00088, 2020 | 32 | 2020 |
| Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation Q Liu, Y Zhang, S Bai, A Yuille European Conference on Computer Vision (ECCV) 2022, 2022 | 31 | 2022 |
| Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search Q Liu, A Kortylewski, Y Bai, S Bai, A Yuille International Conference on Learning Representations (ICLR) 2024, 2023 | 29* | 2023 |
| Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape J Xu, Y Zhang, J Peng, W Ma, A Jesslen, P Ji, Q Hu, J Zhang, Q Liu, ... International Conference on Computer Vision (ICCV) 2023, 2023 | 22 | 2023 |
| PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation Q Liu, A Kortylewski, A Yuille Computer Vision and Pattern Recognition Conference (CVPR) 2023, 2023 | 17 | 2023 |
| Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models Q Liu, Z Zeng, J He, Q Yu, X Shen, LC Chen Neural Information Processing Systems (NeurIPS) 2024, 2024 | 11 | 2024 |
| Principles and Mechanisms of Strain-Dependent Thermal Conductivity of Polycrystalline Graphene with Varying Grain Sizes and Surface Hydrogenation A Wei, Q Liu, H Yao, Y Li, Y Li The Journal of Physical Chemistry C 122 (34), 19869-19879, 2018 | 11 | 2018 |
| PNS: Population-Guided Novelty Search for Reinforcement Learning in Hard Exploration Environments Q Liu, Y Wang, X Liu International Conference on Intelligent Robots and Systems (IROS) 2021, 2021 | 10 | 2021 |
| Adding 3D Geometry Control to Diffusion Models W Ma*, Q Liu*, J Wang*, A Wang, Y Liu, A Kortylewski, A Yuille International Conference on Learning Representations (ICLR) 2024, 2023 | 9* | 2023 |
| InstMove: Instance Motion for Object-centric Video Segmentation Q Liu*, J Wu*, Y Jiang, X Bai, A Yuille, S Bai Computer Vision and Pattern Recognition Conference (CVPR) 2023, 2023 | 9 | 2023 |
| DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data Q Liu, Y Zhang, S Bai, A Kortylewski, AL Yuille Computer Vision and Pattern Recognition Conference (CVPR) 2024, 2024 | 6 | 2024 |
| Continual Adversarial Defense Q Wang, Y Liu, H Ling, Y Li, Q Liu, P Li, J Chen, A Yuille, N Yu arXiv preprint arXiv:2312.09481, 2023 | 5 | 2023 |
| ImageNet3D: Towards General-Purpose Object-Level 3D Understanding W Ma, G Zeng, G Zhang, Q Liu, L Zhang, A Kortylewski, Y Liu, A Yuille Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks …, 2024 | 4 | 2024 |
| Flowing from Words to Pixels: A Framework for Cross-Modality Evolution Q Liu, X Yin, A Yuille, A Brown, M Singh Computer Vision and Pattern Recognition Conference (CVPR) 2025, 2024 | 2 | 2024 |
| 1st Place Solution for YouTubeVOS Challenge 2022: Video Instance Segmentation J Wu, X Bai, Y Jiang, Q Liu, Z Yuan, S Bai CVPR 2022 workshop, 2022 | 2 | 2022 |
| Rethinking video-text understanding: Retrieval from counterfactually augmented data W Ma, K Li, Z Jiang, M Meshry, Q Liu, H Wang, C Häne, A Yuille European Conference on Computer Vision (ECCV) 2024, 2024 | 1 | 2024 |
| METHOD, APPARATUS, DEVICE AND MEDIUM FOR TRACKING A TARGET OBJECT IN A VIDEO BASED ON AN INSTANCE MOTION S Bai, Q Liu, J Wu, Y Jiang US Patent App. 18/432,448, 2024 | | 2024 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins Universityjhu.edu üzerinde doğrulanmış e-posta adresine sahip