5 citations · 5 across the 3 of their papers we have counts for
9 papers · 1 filter
P-DPO: Grounding Hallucination in Perceptual Processing via Calibration Direct Preference Optimization
Ruipeng Zhang, Zhihao Li, Haozhang Yuan +2
Hallucination has recently garnered significant research attention in Large Vision-Language Models (LVLMs). Direct Preference Optimization (DPO) aims to learn directly from the cor…
Steer Where It Matters: Token-Level Visual-Sensitivity Steering for LVLMs Hallucination Mitigation
Ruipeng Zhang, Zhihao Li, C. L. Philip Chen +1
Large vision language models (LVLMs) have made rapid advancements and are deployed across various applications, yet hallucinations remain a major challenge. Activation steering is…
A Cosine Network for Image Super-Resolution
Chunwei Tian, Chengyuan Zhang, Bob Zhang +3
Deep convolutional neural networks can use hierarchical information to progressively extract structural information to recover high-quality images. However, preserving the effectiv…
PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance
Haohan Weng, Yikai Wang, Tong Zhang +2
Generating compact and sharply detailed 3D meshes poses a significant challenge for current 3D generative models. Different from extracting dense meshes from neural representation,…
FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual Color Encoder
Zheng Cheng, Guodong Fan, Jingchun Zhou +2
Underwater images often suffer from various issues such as low brightness, color shift, blurred details, and noise due to light absorption and scattering caused by water and suspen…
Spatial-frequency Dual-Domain Feature Fusion Network for Low-Light Remote Sensing Image Enhancement
Zishu Yao, Guodong Fan, Jinfu Fan +2
Low-light remote sensing images generally feature high resolution and high spatial complexity, with continuously distributed surface features in space. This continuity in scenes le…