4 papers
ASTRA: Let Arbitrary Subjects Transform in Video Editing
Fei Shen, Weihao Xu, Rui Yan +4
While existing video editing methods excel with single subjects, they struggle in dense, multi-subject scenes, frequently suffering from attention dilution and mask boundary entang…
Diffusion-Guided Knowledge Distillation for Weakly-Supervised Low-Light Semantic Segmentation
Chunyan Wang, Dong Zhang, Jinhui Tang
Weakly-supervised semantic segmentation aims to assign category labels to each pixel using weak annotations, significantly reducing manual annotation costs. Although existing metho…
R-Genie: Reasoning-Guided Generative Image Editing
Dong Zhang, Lingfeng He, Rui Yan +2
While recent advances in image editing have enabled impressive visual synthesis capabilities, current methods remain constrained by explicit textual instructions and limited editin…
TEST-V: TEst-time Support-set Tuning for Zero-shot Video Classification
Rui Yan, Jin Wang, Hongyu Qu +4
Recently, adapting Vision Language Models (VLMs) to zero-shot visual classification by tuning class embedding with a few prompts (Test-time Prompt Tuning, TPT) or replacing class n…