IndusAgent achieves state-of-the-art zero-shot performance on industrial anomaly benchmarks by using a custom Indus-CoT dataset, dynamic tool orchestration, and gated RL to optimize anomaly classification, localization, and reasoning.
Adaptive label correction for robust medical image segmentation with noisy labels.arXiv preprint arXiv:2503.12218, 2025
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DVP-MVS++ combines depth-normal-edge alignment via erosion-dilation and harmonized visibility priors with geometry consistency checks to achieve state-of-the-art multi-view stereo results on ETH3D, Tanks & Temples, and Strecha.
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IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools
IndusAgent achieves state-of-the-art zero-shot performance on industrial anomaly benchmarks by using a custom Indus-CoT dataset, dynamic tool orchestration, and gated RL to optimize anomaly classification, localization, and reasoning.
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DVP-MVS++: Synergize Depth-Normal-Edge and Harmonized Visibility Prior for Multi-View Stereo
DVP-MVS++ combines depth-normal-edge alignment via erosion-dilation and harmonized visibility priors with geometry consistency checks to achieve state-of-the-art multi-view stereo results on ETH3D, Tanks & Temples, and Strecha.