4 citations · 6 across the 13 of their papers we have counts for
8 papers · 1 filter
Unsupervised Region-Based Image Editing of Denoising Diffusion Models
Zixiang Li, Yue Song, Renshuai Tao +3
Although diffusion models have achieved remarkable success in the field of image generation, their latent space remains under-explored. Current methods for identifying semantics wi…
Behavior Backdoor for Deep Learning Models
Jiakai Wang, Pengfei Zhang, Renshuai Tao +5
The various post-processing methods for deep-learning-based models, such as quantification, pruning, and fine-tuning, play an increasingly important role in artificial intelligence…
BGM: Background Mixup for X-ray Prohibited Items Detection
Weizhe Liu, Renshuai Tao, Hongguang Zhu +3
Current data-driven approaches for X-ray prohibited items detection remain under-explored, particularly in the design of effective data augmentations. Existing natural image augmen…
Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans?
Renshuai Tao, Haoyu Wang, Yuzhe Guo +5
To detect prohibited items in challenging categories, human inspectors typically rely on images from two distinct views (vertical and side). Can AI detect prohibited items from dua…
PAD-F: Prior-Aware Debiasing Framework for Long-Tailed X-ray Prohibited Item Detection
Haoyu Wang, Renshuai Tao, Wei Wang +1
Detecting prohibited items in X-ray security imagery is a challenging yet crucial task. With the rapid advancement of deep learning, object detection algorithms have been widely ap…
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks
Renshuai Tao, Manyi Le, Chuangchuang Tan +3
Despite significant advances in deepfake detection, handling varying image quality, especially due to different compressions on online social networks (OSNs), remains challenging.…