3 papers
cs.CV2026
GenDet: Painting Colored Bounding Boxes on Images via Diffusion Model for Object Detection
Chen Min, Chengyang Li, Fanjie Kong +3
This paper presents GenDet, a novel framework that redefines object detection as an image generation task. In contrast to traditional approaches, GenDet adopts a pioneering approac…
cs.CV2025
C-DGPA: Class-Centric Dual-Alignment Generative Prompt Adaptation
Chao Li, Dasha Hu, Chengyang Li +2
Unsupervised Domain Adaptation transfers knowledge from a labeled source domain to an unlabeled target domain. Directly deploying Vision-Language Models (VLMs) with prompt tuning i…
cs.CV2024
SMGDiff: Soccer Motion Generation using diffusion probabilistic models
Hongdi Yang, Chengyang Li, Zhenxuan Wu +5
Soccer is a globally renowned sport with significant applications in video games and VR/AR. However, generating realistic soccer motions remains challenging due to the intricate in…