15 papers
Event-Aware Instructed Assistant for Referring Video Segmentation
Jinyu Liu, Henghui Ding, Shuting He +1
Existing referring video segmentation methods often treat a video as a single event consisting of multiple images, overlooking the fact that a video typically contains multiple dis…
Embodied AI: From LLMs to World Models
Tongtong Feng, Xin Wang, Yu-Gang Jiang +1
Embodied Artificial Intelligence (AI) is an intelligent system paradigm for achieving Artificial General Intelligence (AGI), serving as the cornerstone for various applications and…
FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models
Kun Zhai, Siheng Chen, Xingjun Ma +1
Federated Prompt Tuning (FPT) is an efficient method for cross-client collaborative fine-tuning of large Vision-Language Models (VLMs). However, models tuned using FPT are vulnerab…
BrokenVideos: A Benchmark Dataset for Fine-Grained Artifact Localization in AI-Generated Videos
Jiahao Lin, Weixuan Peng, Bojia Zi +4
Recent advances in deep generative models have led to significant progress in video generation, yet the fidelity of AI-generated videos remains limited. Synthesized content often e…
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
Hui Zhang, Zheng Wang, Dan Zeng +2
Anomaly detection has garnered extensive applications in real industrial manufacturing due to its remarkable effectiveness and efficiency. However, previous generative-based models…
Instruction-Guided Scene Text Recognition
Yongkun Du, Zhineng Chen, Yuchen Su +2
Multi-modal models have shown appealing performance in visual recognition tasks, as free-form text-guided training evokes the ability to understand fine-grained visual content. How…