| Physical attack on monocular depth estimation with optimal adversarial patches Z Cheng, J Liang, H Choi, G Tao, Z Cao, D Liu, X Zhang European conference on computer vision, 514-532, 2022 | 86 | 2022 |
| Clustseg: Clustering for universal segmentation J Liang, T Zhou, D Liu, W Wang arXiv preprint arXiv:2305.02187, 2023 | 75 | 2023 |
| Learning equivariant segmentation with instance-unique querying W Wang, J Liang, D Liu Advances in Neural Information Processing Systems 35, 12826-12840, 2022 | 75 | 2022 |
| Tripartite feature enhanced pyramid network for dense prediction D Liu, J Liang, T Geng, A Loui, T Zhou IEEE Transactions on Image Processing 32, 2678-2692, 2023 | 46 | 2023 |
| Clusterfomer: clustering as a universal visual learner J Liang, Y Cui, Q Wang, T Geng, W Wang, D Liu Advances in neural information processing systems 36, 2024 | 28 | 2024 |
| Adversarial training of self-supervised monocular depth estimation against physical-world attacks Z Cheng, J Liang, G Tao, D Liu, X Zhang arXiv preprint arXiv:2301.13487, 2023 | 26 | 2023 |
| A triangulation-based visual localization for field robots J Liang, Y Wang, Y Chen, B Yang, D Liu IEEE/CAA Journal of Automatica Sinica 9 (6), 1083-1086, 2022 | 17 | 2022 |
| Image translation as diffusion visual programmers C Han, JC Liang, Q Wang, M Rabbani, S Dianat, R Rao, YN Wu, D Liu arXiv preprint arXiv:2401.09742, 2024 | 8 | 2024 |
| Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection Z Cheng, H Choi, J Liang, S Feng, G Tao, D Liu, M Zuzak, X Zhang arXiv preprint arXiv:2304.14614, 2023 | 7 | 2023 |
| Prototypical Transformer as Unified Motion Learners C Han, Y Lu, G Sun, JC Liang, Z Cao, Q Wang, Q Guan, SA Dianat, ... arXiv preprint arXiv:2406.01559, 2024 | 1 | 2024 |
| Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models C Liu, C Wu, M Chen, JC Liang, A Li, M Huang, C Ren, D Liu, YN Wu, ... arXiv preprint arXiv:2408.02693, 2024 | | 2024 |
| Inertial Confinement Fusion Forecasting via LLMs M Chen, T Wang, JC Liang, C Liu, C Wu, Q Wang, YN Wu, M Huang, ... arXiv preprint arXiv:2407.11098, 2024 | | 2024 |
| Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks Z Cheng, C Han, J Liang, Q Wang, X Zhang, D Liu arXiv preprint arXiv:2406.05857, 2024 | | 2024 |
| Learning Equivariant Segmentation with Instance-Unique Querying Supplementary Material W Wang, J Liang, D Liu | | |
Dongfang LiuRochester Institute of TechnologyVerified email at rit.edu
