Yu ZHOU

Emotion-oriented MLLMs can now achieve unprecedented accuracy in visual emotional intelligence, revealing critical insights into their limitations and capabilities.

Accurate latent structure recovery in multidimensional models can be achieved with a novel adaptive framework that drastically cuts down computational costs.

OKR achieves a remarkable +6.5% mAP improvement over existing methods by preventing knowledge interference in domain-incremental object detection.

Achieving a 6.37x speedup in inference while expanding OCR capabilities across long-tail tasks sets a new benchmark for lightweight models.