5 papers
presto: Efficient, Training-free, and Open-world Object Placement via Imaginary Search
Weixuan Ding, Shang Liu, Hanyu Pei +1
Object placement is critical in image composition, requiring spatially and semantically coherent positioning of objects within diverse scenes. Existing approaches typically rely on…
LymphNode: A Plug-and-Play Access Control Method for Deep Neural Networks
Hanyu Pei, Shang Liu, Zeyan Liu
Deep Neural Networks (DNNs) are high-value intellectual property (IP), yet deploying them to edge environments exposes them to \textbf{unrestricted oracle access}, rendering them v…
NeuronSeek: On Stability and Expressivity of Task-driven Neurons
Hanyu Pei, Jing-Xiao Liao, Qibin Zhao +4
Drawing inspiration from our human brain that designs different neurons for different tasks, recent advances in deep learning have explored modifying a network's neurons to develop…
A Survey on Medical Image Compression: From Traditional to Learning-Based Approaches
Guofeng Tong, Sixuan Liu, Yang Lv +2
The exponential growth of medical imaging has created significant challenges in data storage, transmission, and management for healthcare systems. In this vein, efficient compressi…
COLI: A Hierarchical Efficient Compressor for Large Images
Haoran Wang, Hanyu Pei, Yang Lyu +3
The escalating adoption of high-resolution, large-field-of-view imagery amplifies the need for efficient compression methodologies. Conventional techniques frequently fail to prese…