5 papers
Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models
Ce Zhang, Zifu Wan, Zhehan Kan +7
While recent Large Vision-Language Models (LVLMs) have shown remarkable performance in multi-modal tasks, they are prone to generating hallucinatory text responses that do not alig…
ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models
Zifu Wan, Ce Zhang, Silong Yong +6
Recent Large Vision-Language Models (LVLMs) have introduced a new paradigm for understanding and reasoning about image input through textual responses. Although they have achieved…
InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning
Zifu Wan, Yaqi Xie, Ce Zhang +5
Large multimodal foundation models, particularly in the domains of language and vision, have significantly advanced various tasks, including robotics, autonomous driving, informati…
Spectral-Aware Global Fusion for RGB-Thermal Semantic Segmentation
Ce Zhang, Zifu Wan, Simon Stepputtis +2
Semantic segmentation relying solely on RGB data often struggles in challenging conditions such as low illumination and obscured views, limiting its reliability in critical applica…
OMG: Opacity Matters in Material Modeling with Gaussian Splatting
Silong Yong, Venkata Nagarjun Pudureddiyur Manivannan, Bernhard Kerbl +4
Decomposing geometry, materials and lighting from a set of images, namely inverse rendering, has been a long-standing problem in computer vision and graphics. Recent advances in ne…