352 citations · 356 across the 5 of their papers we have counts for
5 papers
Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image Feedback
Huaisong Zhang, Hao Yu, Yuxuan Zhang +7
Despite generating increasingly photorealistic images, text-to-image (T2I) models still exhibit localized, subtle, and structurally complex failures. Diagnosing these failures requ…
Love Me, Love My Label: Rethinking the Role of Labels in Prompt Retrieval for Visual In-Context Learning
Tianci Luo, Haohao Pan, Jinpeng Wang +5
Visual in-context learning (VICL) enables visual foundation models to handle multiple tasks by steering them with demonstrative prompts. The choice of such prompts largely influenc…
Renmin University of China at TRECVID 2022: Improving Video Search by Feature Fusion and Negation Understanding
Xirong Li, Aozhu Chen, Ziyue Wang +4
We summarize our TRECVID 2022 Ad-hoc Video Search (AVS) experiments. Our solution is built with two new techniques, namely Lightweight Attentional Feature Fusion (LAFF) for combini…
MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection
Chengbo Dong, Xinru Chen, Ruohan Hu +2
As manipulating images by copy-move, splicing and/or inpainting may lead to misinterpretation of the visual content, detecting these sorts of manipulations is crucial for media for…
Image Manipulation Detection by Multi-View Multi-Scale Supervision
Xinru Chen, Chengbo Dong, Jiaqi Ji +2
The key challenge of image manipulation detection is how to learn generalizable features that are sensitive to manipulations in novel data, whilst specific to prevent false alarms…