5 papers
When Vision Becomes Text: Visual Token Pruning via Cross-Modal Residual Guidance in VLMs
Congyang Ou, Ruike Song, Yang Zhou +3
Abundant visual information strengthens vision-language model (VLM) perception, yet massive visual tokens raise inference costs. Existing visual token pruning methods rely on simil…
TRIO: Token Reduction via Inference-Objective Guidance for Efficient Vision-Language Models
Haokui Zhang, Congyang Ou, Dawei Yan +5
Recently, reducing redundant visual tokens in vision-language models (VLMs) to accelerate VLM inference has emerged as a hot topic. However, most existing methods rely on heuristic…
CC-Pan: Channel-wise Compression based Diffusion for Efficient Pan-Sharpening
Junjie Li, Congyang Ou, Haokui Zhang +3
Recently, diffusion models have brought novel insights to pan-sharpening and notably boosted fusion precision. However, most existing models perform diffusion in the pixel space an…
Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives
Yang Zhou, Junjie Li, CongYang Ou +3
Due to its extensive applications, aerial image object detection has long been a hot topic in computer vision. In recent years, advancements in Unmanned Aerial Vehicles (UAV) techn…
Cosine Annealing Optimized Denoising Diffusion Error Correction Codes
Congyang Ou, Xiaojing Chen, Wan Jiang
To address the issue of increased bit error rates during the later stages of linear search in denoising diffusion error correction codes, we propose a novel method that optimizes d…