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Renmin University
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Multi-agent collaboration in video anomaly understanding leads to a significant boost in detection and verification accuracy, outperforming traditional methods.
Rarity-aware sampling and spatial consistency techniques enable discrete diffusion to achieve high-quality image super-resolution with fewer decoding steps than traditional methods.
Achieving state-of-the-art underwater image enhancement with a model that has only 4.23K parameters and processes images at over 600 FPS.
Real-robot trials are costly and slow, but DataLadder enables scalable evaluations and data generation through a seamless interplay between robots, simulations, and human feedback.
AIChilles reveals 49 hidden weaknesses in AI-evolved systems, challenging the assumption that AI-generated code is always superior to human-designed algorithms.
Achieve open-world 3D segmentation without manual annotation by decoupling object discovery from semantic grounding.
LLM agents can get a ~5% performance boost and 4x memory reduction by representing workflows as graphs and adaptively instantiating them based on task semantics.