210 citations · 1.8k across the 103 of their papers we have counts for
102 papers
Rep2wav: Noise Robust text-to-speech Using self-supervised representations
Qiushi Zhu, Yu Gu, Rilin Chen +4
Benefiting from the development of deep learning, text-to-speech (TTS) techniques using clean speech have achieved significant performance improvements. The data collected from rea…
Overlap Bias Matching is Necessary for Point Cloud Registration
Pengcheng Shi, Jie Zhang, Haozhe Cheng +4
Point cloud registration is a fundamental problem in many domains. Practically, the overlap between point clouds to be registered may be relatively small. Most unsupervised methods…
On the Manipulability of Maximum Vertex-Weighted Bipartite -matching Mechanisms
Gennaro Auricchio, Jie Zhang
In this paper, we study the Maximum Vertex-weighted -Matching (MVbM) problem on bipartite graphs in a new game-theoretical environment. In contrast to other game-theoretical set…
That's BAD: Blind Anomaly Detection by Implicit Local Feature Clustering
Jie Zhang, Masanori Suganuma, Takayuki Okatani
Recent studies on visual anomaly detection (AD) of industrial objects/textures have achieved quite good performance. They consider an unsupervised setting, specifically the one-cla…
Contextual Affinity Distillation for Image Anomaly Detection
Jie Zhang, Masanori Suganuma, Takayuki Okatani
Previous works on unsupervised industrial anomaly detection mainly focus on local structural anomalies such as cracks and color contamination. While achieving significantly high de…
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
Sikai Bai, Shuaicheng Li, Weiming Zhuang +7
Federated learning has become a popular method to learn from decentralized heterogeneous data. Federated semi-supervised learning (FSSL) emerges to train models from a small fracti…