5 citations · 12 across the 10 of their papers we have counts for
6 papers · 1 filter
A Benchmark Dataset for MLLM-Generated Image Detection: GPT Image2 & Nano Banana2
Zirui Zhang, Yinbo Yu, Donghai Guan +3
The realism of images generated by multimodal large language models (MLLMs), such as GPT Image2 and Nano Banana2, has improved rapidly in recent years. Compared with early generati…
SSD: Spatially Speculative Decoding Accelerates Autoregressive Image Generation
Shilong Xiang, Zirui Zhang, Lijun Yu +1
Autoregressive image models treat images as 1D token sequences, inheriting the next-token factorization of language models. This flattening discards a useful property of images: vi…
BA-Net: Bridge Attention in Deep Neural Networks
Ronghui Zhang, Runzong Zou, Yue Zhao +5
Attention mechanisms, particularly channel attention, have become highly influential in numerous computer vision tasks. Despite their effectiveness, many existing methods primarily…
DSDFormer: An Innovative Transformer-Mamba Framework for Robust High-Precision Driver Distraction Identification
Junzhou Chen, Zirui Zhang, Jing Yu +5
Driver distraction remains a leading cause of traffic accidents, posing a critical threat to road safety globally. As intelligent transportation systems evolve, accurate and real-t…
BA-Net: Bridge Attention for Deep Convolutional Neural Networks
Yue Zhao, Junzhou Chen, Zirui Zhang +1
In recent years, channel attention mechanism has been widely investigated due to its great potential in improving the performance of deep convolutional neural networks (CNNs) in ma…
Rethinking Person Re-Identification via Semantic-Based Pretraining
Suncheng Xiang, Jingsheng Gao, Zirui Zhang +5
Pretraining is a dominant paradigm in computer vision. Generally, supervised ImageNet pretraining is commonly used to initialize the backbones of person re-identification (Re-ID) m…