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
112 2022 Learning equivariant segmentation with instance-unique querying W Wang, J Liang, D Liu
Advances in Neural Information Processing Systems 35, 12826-12840, 2022
93 2022 Clustseg: Clustering for universal segmentation J Liang, T Zhou, D Liu, W Wang
arXiv preprint arXiv:2305.02187, 2023
92 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, 64029-64042, 2023
57 2023 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
54 2023 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
32 2023 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
24 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
23 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
20 2022 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
9 2024 M PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning T Wang, Y Liu, JC Liang, Y Cui, Y Mao, S Nie, J Liu, F Feng, Z Xu, C Han, ...
arXiv preprint arXiv:2409.15657, 2024
8 2024 Clustseg: Clustering for Universal Segmentation.(2023) J Liang, T Zhou, D Liu, W Wang
arXiv preprint arXiv:2305.02187, 2023
5 2023 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
4 2024 Inertial confinement fusion forecasting via llms M Chen, T Wang, J Chenhao Liang, C Liu, C Wu, Q Wang, Y Nian Wu, ...
arXiv e-prints, arXiv: 2407.11098, 2024
1 2024 Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics T Wang, D Liu, JC Liang, W Yang, Q Wang, C Han, J Luo, R Tang
arXiv preprint arXiv:2411.13587, 2024
2024 Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models C Liu, C Wu, S Cao, M Chen, JC Liang, A Li, M Huang, C Ren, D Liu, ...
arXiv preprint arXiv:2408.02693, 2024
2024 Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models C Liu, C Wu, M Chen, J Chenhao Liang, A Li, M Huang, C Ren, D Liu, ...
arXiv e-prints, arXiv: 2408.02693, 2024
2024 Inertial Confinement Fusion Forecasting via Large Language Models M Chen, T Wang, S Cao, JC Liang, C Liu, C Wu, Q Wang, YN Wu, ...
arXiv preprint arXiv:2407.11098, 2024
2024 Learning Equivariant Segmentation with Instance-Unique Querying Supplementary Material W Wang, J Liang, D Liu