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Beijing University of Posts and Telecommunications
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FlashNormal achieves high-fidelity surface normal estimation from just flash and no-flash images, outperforming traditional methods that require complex setups.
FlexiGrad eliminates harmful gradient conflicts, leading to more stable training and improved accuracy in hierarchical fine-grained classification tasks.
VGIF-Score reveals that current video generation models struggle with complex instructions, providing a diagnostic lens to pinpoint where they succeed or fail.
MMBench-Live achieves a high answer correctness rate while updating benchmarks at a fraction of the cost and time, revolutionizing how we assess VLMs.
AuRA achieves superior performance in speech-language tasks by seamlessly integrating audio understanding into LLMs, outperforming traditional methods in both speed and accuracy.
