Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Improving the interoperability of drugs terminologies: Infusing local standardization with an international perspective.
J. Biomed. Informatics, 2024
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics.
CoRR, 2024
M<sup>2</sup>PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.
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CoRR, 2024
Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models.
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CoRR, 2024
Inertial Confinement Fusion Forecasting via LLMs.
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CoRR, 2024
Enhancing Drug-Related Data Exchange: Advanced Technical Support for Interoperability.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Prototypical Transformer As Unified Motion Learners.
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Proceedings of the Forty-first International Conference on Machine Learning, 2024
Image Translation as Diffusion Visual Programmers.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.
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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Tripartite Feature Enhanced Pyramid Network for Dense Prediction.
IEEE Trans. Image Process., 2023
ClusterFormer: Clustering As A Universal Visual Learner.
CoRR, 2023
Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving.
CoRR, 2023
ClusterFomer: Clustering As A Universal Visual Learner.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
CLUSTSEG: Clustering for Universal Segmentation.
Proceedings of the International Conference on Machine Learning, 2023
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
A Triangulation-Based Visual Localization for Field Robots.
IEEE CAA J. Autom. Sinica, 2022
Learning Equivariant Segmentation with Instance-Unique Querying.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches.
Proceedings of the Computer Vision - ECCV 2022, 2022