6 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…
A Recover-then-Discriminate Framework for Robust Anomaly Detection
Peng Xing, Dong Zhang, Jinhui Tang +1
Anomaly detection (AD) has been extensively studied and applied in a wide range of scenarios in the recent past. However, there are still gaps between achieved and desirable levels…
Unleashing Network Potentials for Semantic Scene Completion
Fengyun Wang, Qianru Sun, Dong Zhang +1
Semantic scene completion (SSC) aims to predict complete 3D voxel occupancy and semantics from a single-view RGB-D image, and recent SSC methods commonly adopt multi-modal inputs.…