most citedSmartbanner: Intelligent banner design framework that strikes a balance between creative freedom and design rules

2 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

E-Commerce Inpainting with Mask Guidance in Controlnet for Reducing Overcompletion

Guandong Li

E-commerce image generation has always been one of the core demands in the e-commerce field. The goal is to restore the missing background that matches the main product given. In t…

cs.CV2024

Training-Free Style Consistent Image Synthesis with Condition and Mask Guidance in E-Commerce

Guandong Li

Generating style-consistent images is a common task in the e-commerce field, and current methods are largely based on diffusion models, which have achieved excellent results. This…

cs.CV20241 cited

A Two-Stage Dual-Path Framework for Text Tampering Detection and Recognition

Guandong Li, Xian Yang, Wenpin Ma

Document tamper detection has always been an important aspect of tamper detection. Before the advent of deep learning, document tamper detection was difficult. We have made some ex…

cs.CV2023

Intelligent Parsing: An Automated Parsing Framework for Extracting Design Semantics from E-commerce Creatives

Guandong Li, Xian Yang

In the industrial e-commerce landscape, creative designs such as banners and posters are ubiquitous. Extracting structured semantic information from creative e-commerce design mate…

cs.CV20231 cited

Spatial-Spectral Hyperspectral Classification based on Learnable 3D Group Convolution

Guandong Li, Mengxia Ye

Deep neural networks have faced many problems in hyperspectral image classification, including the ineffective utilization of spectral-spatial joint information and the problems of…

cs.CV20231 cited

DGCNet: An Efficient 3D-Densenet based on Dynamic Group Convolution for Hyperspectral Remote Sensing Image Classification

Guandong Li

Deep neural networks face many problems in the field of hyperspectral image classification, lack of effective utilization of spatial spectral information, gradient disappearance an…