4 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
Look Before You Judge: Training-Free Region Mining for Grounded and Explainable Deepfake Detection
Chia-Ling Chen, Yu-Ting Ta, Jian-Yu Jiang-Lin +8
Multimodal large language models (MLLMs) can explain deepfake verdicts in natural language, but such explanations are not necessarily visually grounded in the visual evidence under…
CookAnything: A Framework for Flexible and Consistent Multi-Step Recipe Image Generation
Ruoxuan Zhang, Bin Wen, Hongxia Xie +5
Cooking is a sequential and visually grounded activity, where each step such as chopping, mixing, or frying carries both procedural logic and visual semantics. While recent diffusi…
TriDF: Evaluating Perception, Detection, and Hallucination for Interpretable DeepFake Detection
Jian-Yu Jiang-Lin, Kang-Yang Huang, Ling Zou +11
Advances in generative modeling have made it increasingly easy to fabricate realistic portrayals of individuals, creating serious risks for security, communication, and public trus…
RecipeGen: A Benchmark for Real-World Recipe Image Generation
Ruoxuan Zhang, Hongxia Xie, Yi Yao +6
Recipe image generation is an important challenge in food computing, with applications from culinary education to interactive recipe platforms. However, there is currently no real-…