9 citations · 33 across the 6 of their papers we have counts for
7 papers
GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features
Siyang Song, Yuxin Song, Cheng Luo +7
Graph is powerful for representing various types of real-world data. The topology (edges' presence) and edges' features of a graph decides the message passing mechanism among verti…
Scene Consistency Representation Learning for Video Scene Segmentation
Haoqian Wu, Keyu Chen, Yanan Luo +5
A long-term video, such as a movie or TV show, is composed of various scenes, each of which represents a series of shots sharing the same semantic story. Spotting the correct scene…
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
Cheng Luo, Qinliang Lin, Weicheng Xie +3
Current adversarial attack research reveals the vulnerability of learning-based classifiers against carefully crafted perturbations. However, most existing attack methods have inhe…
Group-wise Inhibition based Feature Regularization for Robust Classification
Haozhe Liu, Haoqian Wu, Weicheng Xie +2
The convolutional neural network (CNN) is vulnerable to degraded images with even very small variations (e.g. corrupted and adversarial samples). One of the possible reasons is tha…
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures
Luyan Liu, Zhiwei Wen, Songwei Liu +6
Considering the scarcity of medical data, most datasets in medical image analysis are an order of magnitude smaller than those of natural images. However, most Network Architecture…
Geometry Constrained Weakly Supervised Object Localization
Weizeng Lu, Xi Jia, Weicheng Xie +3
We propose a geometry constrained network, termed GC-Net, for weakly supervised object localization (WSOL). GC-Net consists of three modules: a detector, a generator and a classifi…