7 citations · 14 across the 8 of their papers we have counts for
8 papers
Data Efficient Training with Imbalanced Label Sample Distribution for Fashion Detection
Xin Shen, Praful Agrawal, Zhongwei Cheng
Multi-label classification models have a wide range of applications in E-commerce, including visual-based label predictions and language-based sentiment classifications. A major ch…
HalluAudio: Hallucinating Frequency as Concepts for Few-Shot Audio Classification
Zhongjie Yu, Shuyang Wang, Lin Chen +1
Few-shot audio classification is an emerging topic that attracts more and more attention from the research community. Most existing work ignores the specificity of the form of the…
FedRule: Federated Rule Recommendation System with Graph Neural Networks
Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng +3
Much of the value that IoT (Internet-of-Things) devices bring to ``smart'' homes lies in their ability to automatically trigger other devices' actions: for example, a smart camera…
Package Theft Detection from Smart Home Security Cameras
Hung-Min Hsu, Xinyu Yuan, Baohua Zhu +2
Package theft detection has been a challenging task mainly due to lack of training data and a wide variety of package theft cases in reality. In this paper, we propose a new Global…
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation
Sumanth Chennupati, Mohammad Mahdi Kamani, Zhongwei Cheng +1
Knowledge Distillation is becoming one of the primary trends among neural network compression algorithms to improve the generalization performance of a smaller student model with g…
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
Zhongjie Yu, Lin Chen, Zhongwei Cheng +1
The successful application of deep learning to many visual recognition tasks relies heavily on the availability of a large amount of labeled data which is usually expensive to obta…
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation
Yiming Xu, Lin Chen, Zhongwei Cheng +2
We study the problem of visual question answering (VQA) in images by exploiting supervised domain adaptation, where there is a large amount of labeled data in the source domain but…
AI for Earth: Rainforest Conservation by Acoustic Surveillance
Yuan Liu, Zhongwei Cheng, Jie Liu +3
Saving rainforests is a key to halting adverse climate changes. In this paper, we introduce an innovative solution built on acoustic surveillance and machine learning technologies…