22 citations · 40 across the 16 of their papers we have counts for
5 papers · 1 filter
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection
Zining Chen, Xingshuang Luo, Weiqiu Wang +3
Recent Anomaly Detection (AD) methods have achieved great success with In-Distribution (ID) data. However, real-world data often exhibits distribution shift, causing huge performan…
UFO: Enhancing Diffusion-Based Video Generation with a Uniform Frame Organizer
Delong Liu, Zhaohui Hou, Mingjie Zhan +3
Recently, diffusion-based video generation models have achieved significant success. However, existing models often suffer from issues like weak consistency and declining image qua…
Modality and Task Adaptation for Enhanced Zero-shot Composed Image Retrieval
Haiwen Li, Fei Su, Zhicheng Zhao
As a challenging vision-language task, Zero-Shot Composed Image Retrieval (ZS-CIR) is designed to retrieve target images using bi-modal (image+text) queries. Typical ZS-CIR methods…
Bring Adaptive Binding Prototypes to Generalized Referring Expression Segmentation
Weize Li, Zhicheng Zhao, Haochen Bai +1
Referring Expression Segmentation (RES) has attracted rising attention, aiming to identify and segment objects based on natural language expressions. While substantial progress has…
PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization
Zining Chen, Weiqiu Wang, Zhicheng Zhao +3
Domain Generalization (DG) aims to resolve distribution shifts between source and target domains, and current DG methods are default to the setting that data from source and target…