8 citations · 18 across the 7 of their papers we have counts for
7 papers
Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation
Rongtao Xu, Changwei Wang, Jiaxi Sun +3
Efficiently training accurate deep models for weakly supervised semantic segmentation (WSSS) with image-level labels is challenging and important. Recently, end-to-end WSSS methods…
MTLDesc: Looking Wider to Describe Better
Changwei Wang, Rongtao Xu, Yuyang Zhang +4
Limited by the locality of convolutional neural networks, most existing local features description methods only learn local descriptors with local information and lack awareness of…
Svar: A Tiny C++ Header Brings Unified Interface for Multiple programming Languages
Yong Zhao, Pengcheng Zhao, Shibiao Xu +4
There are numerous types of programming languages developed in the last decades, and most of them provide interface to call C++ or C for high efficiency implementation. The motivat…
Deep Deformation Detail Synthesis for Thin Shell Models
Lan Chen, Lin Gao, Jie Yang +4
In physics-based cloth animation, rich folds and detailed wrinkles are achieved at the cost of expensive computational resources and huge labor tuning. Data-driven techniques make…
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision
Changwei Wang, Rongtao Xu, Shibiao Xu +3
Accurate lung lesion segmentation from Computed Tomography (CT) images is crucial to the analysis and diagnosis of lung diseases such as COVID-19 and lung cancer. However, the smal…
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients
Chengcheng Ma, Baoyuan Wu, Shibiao Xu +4
Adversarial examples have been well known as a serious threat to deep neural networks (DNNs). In this work, we study the detection of adversarial examples, based on the assumption…
GSLAM: A General SLAM Framework and Benchmark
Yong Zhao, Shibiao Xu, Shuhui Bu +2
SLAM technology has recently seen many successes and attracted the attention of high-technological companies. However, how to unify the interface of existing or emerging algorithms…