3 citations · 9 across the 8 of their papers we have counts for
7 papers · 1 filter
CRAFT: Causal Responsibility and Failure Tracing in Medical Vision Language Models
Chunzheng Zhu, Jiaqi Zeng, Hongbo Zhao +3
As vision language models are increasingly deployed in clinical diagnosis, under standing how they internally resolve competing visual and textual signals becomes a safety imperati…
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution
Chunzheng Zhu, Jiaqi Zeng, Junyu Jiang +2
High-precision medical diagnosis relies not only on static imaging features but also on the implicit diagnostic memory experts instantly invoke during image interpretation. We pinp…
MedEyes: Learning Dynamic Visual Focus for Medical Progressive Diagnosis
Chunzheng Zhu, Yangfang Lin, Shen Chen +2
Accurate medical diagnosis often involves progressive visual focusing and iterative reasoning, characteristics commonly observed in clinical workflows. While recent vision-language…
Restoring Real-World Images with an Internal Detail Enhancement Diffusion Model
Peng Xiao, Hongbo Zhao, Yijun Wang +1
Restoring real-world degraded images, such as old photographs or low-resolution images, presents a significant challenge due to the complex, mixed degradations they exhibit, such a…
Breathing Life into Faces: Speech-driven 3D Facial Animation with Natural Head Pose and Detailed Shape
Wei Zhao, Yijun Wang, Tianyu He +3
The creation of lifelike speech-driven 3D facial animation requires a natural and precise synchronization between audio input and facial expressions. However, existing works still…
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models
Jianxin Lin, Peng Xiao, Yijun Wang +2
Recent data-driven image colorization methods have enabled automatic or reference-based colorization, while still suffering from unsatisfactory and inaccurate object-level color co…
EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model
Lianying Yin, Yijun Wang, Tianyu He +5
Although previous co-speech gesture generation methods are able to synthesize motions in line with speech content, it is still not enough to handle diverse and complicated motion d…