2 citations · 3 across the 12 of their papers we have counts for
8 papers · 1 filter
CELLO: Causal Evaluation of Large Vision-Language Models
Meiqi Chen, Bo Peng, Yan Zhang +1
Causal reasoning is fundamental to human intelligence and crucial for effective decision-making in real-world environments. Despite recent advancements in large vision-language mod…
Counterfactual Explanations for Face Forgery Detection via Adversarial Removal of Artifacts
Yang Li, Songlin Yang, Wei Wang +3
Highly realistic AI generated face forgeries known as deepfakes have raised serious social concerns. Although DNN-based face forgery detection models have achieved good performance…
Artifact Feature Purification for Cross-domain Detection of AI-generated Images
Zheling Meng, Bo Peng, Jing Dong +1
In the era of AIGC, the fast development of visual content generation technologies, such as diffusion models, bring potential security risks to our society. Existing generated imag…
Rethinking Superpixel Segmentation from Biologically Inspired Mechanisms
Tingyu Zhao, Bo Peng, Yuan Sun +3
Recently, advancements in deep learning-based superpixel segmentation methods have brought about improvements in both the efficiency and the performance of segmentation. However, a…
Collaborative Feature Learning for Fine-grained Facial Forgery Detection and Segmentation
Weinan Guan, Wei Wang, Jing Dong +2
Detecting maliciously falsified facial images and videos has attracted extensive attention from digital-forensics and computer-vision communities. An important topic in manipulatio…
Learning Invariant Representation via Contrastive Feature Alignment for Clutter Robust SAR Target Recognition
Bowen Peng, Jianyue Xie, Bo Peng +1
The deep neural networks (DNNs) have freed the synthetic aperture radar automatic target recognition (SAR ATR) from expertise-based feature designing and demonstrated superiority o…