5 citations · 11 across the 7 of their papers we have counts for
7 papers
Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection
Xinzhu Ma, Yongtao Wang, Yinmin Zhang +5
In this work, we build a modular-designed codebase, formulate strong training recipes, design an error diagnosis toolbox, and discuss current methods for image-based 3D object dete…
SAMPLING: Scene-adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image
Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan +3
Recent novel view synthesis methods obtain promising results for relatively small scenes, e.g., indoor environments and scenes with a few objects, but tend to fail for unbounded ou…
DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customization
Xiaoyu Ye, Hao Huang, Jiaqi An +1
Stable Diffusion (SD) customization approaches enable users to personalize SD model outputs, greatly enhancing the flexibility and diversity of AI art. However, they also allow ind…
DynamicDet: A Unified Dynamic Architecture for Object Detection
Zhihao Lin, Yongtao Wang, Jinhe Zhang +1
Dynamic neural network is an emerging research topic in deep learning. With adaptive inference, dynamic models can achieve remarkable accuracy and computational efficiency. However…
A Simple and Generic Framework for Feature Distillation via Channel-wise Transformation
Ziwei Liu, Yongtao Wang, Xiaojie Chu
Knowledge distillation is a popular technique for transferring the knowledge from a large teacher model to a smaller student model by mimicking. However, distillation by directly a…
Differentiable Architecture Search with Random Features
Xuanyang Zhang, Yonggang Li, Xiangyu Zhang +2
Differentiable architecture search (DARTS) has significantly promoted the development of NAS techniques because of its high search efficiency and effectiveness but suffers from per…