154 citations · 509 across the 39 of their papers we have counts for
8 papers · 1 filter
The Open Brands Dataset: Unified brand detection and recognition at scale
Xuan Jin, Wei Su, Rong Zhang +2
Intellectual property protection(IPP) have received more and more attention recently due to the development of the global e-commerce platforms. brand recognition plays a significan…
Composite Adversarial Attacks
Xiaofeng Mao, Yuefeng Chen, Shuhui Wang +3
Adversarial attack is a technique for deceiving Machine Learning (ML) models, which provides a way to evaluate the adversarial robustness. In practice, attack algorithms are artifi…
Sharp Multiple Instance Learning for DeepFake Video Detection
Xiaodan Li, Yining Lang, Yuefeng Chen +5
With the rapid development of facial manipulation techniques, face forgery has received considerable attention in multimedia and computer vision community due to security concerns.…
MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks
Yusi Zhang, Chuanjie Liu, Angen Luo +6
We study the problem of deep recall model in industrial web search, which is, given a user query, retrieve hundreds of most relevance documents from billions of candidates. The com…
GAP++: Learning to generate target-conditioned adversarial examples
Xiaofeng Mao, Yuefeng Chen, Yuhong Li +2
Adversarial examples are perturbed inputs which can cause a serious threat for machine learning models. Finding these perturbations is such a hard task that we can only use the ite…
Weakly Supervised Lesion Localization With Probabilistic-CAM Pooling
Wenwu Ye, Jin Yao, Hui Xue +1
Localizing thoracic diseases on chest X-ray plays a critical role in clinical practices such as diagnosis and treatment planning. However, current deep learning based approaches of…
Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network
Zhe Ma, Jianfeng Dong, Yao Zhang +4
This paper strives to learn fine-grained fashion similarity. In this similarity paradigm, one should pay more attention to the similarity in terms of a specific design/attribute am…
Deeper Insights into Weight Sharing in Neural Architecture Search
Yuge Zhang, Zejun Lin, Junyang Jiang +5
With the success of deep neural networks, Neural Architecture Search (NAS) as a way of automatic model design has attracted wide attention. As training every child model from scrat…