4 citations · 4 across the 4 of their papers we have counts for
4 papers
Deepfake Detection Generalization with Diffusion Noise
Hongyuan Qi, Wenjin Hou, Hehe Fan +1
Deepfake detectors face growing challenges in generalization as new image synthesis techniques emerge. In particular, deepfakes generated by diffusion models are highly photorealis…
Incentivizing Generative Zero-Shot Learning via Outcome-Reward Reinforcement Learning with Visual Cues
Wenjin Hou, Xiaoxiao Sun, Hehe Fan
Recent advances in zero-shot learning (ZSL) have demonstrated the potential of generative models. Typically, generative ZSL synthesizes visual features conditioned on semantic prot…
Seeing Is Believing? A Benchmark for Multimodal Large Language Models on Visual Illusions and Anomalies
Wenjin Hou, Wei Liu, Han Hu +3
Multimodal Large Language Models (MLLMs) have shown remarkable proficiency on general-purpose vision-language benchmarks, reaching or even exceeding human-level performance. Howeve…
Prompt-Aware Controllable Shadow Removal
Kerui Chen, Zhiliang Wu, Wenjin Hou +3
Shadow removal aims to restore the image content in shadowed regions. While deep learning-based methods have shown promising results, they still face key challenges: 1) uncontrolle…