1 code implementation • 10 Jan 2024 • Wei Luo, Dihong Gong
Financial sentiment analysis refers to classifying financial text contents into sentiment categories (e. g. positive, negative, and neutral).
1 code implementation • 27 Jul 2022 • Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li, Wei Liu
The security of deep neural networks (DNNs) has attracted increasing attention due to their widespread use in various applications.
no code implementations • 7 Apr 2022 • Jie Jiang, Shaobo Min, Weijie Kong, Dihong Gong, Hongfa Wang, Zhifeng Li, Wei Liu
With multi-level representations for video and text, hierarchical contrastive learning is designed to explore fine-grained cross-modal relationships, i. e., frame-word, clip-phrase, and video-sentence, which enables HCMI to achieve a comprehensive semantic comparison between video and text modalities.
Ranked #1 on Video Retrieval on MSR-VTT-1kA (using extra training data)
1 code implementation • 13 Dec 2021 • Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu
Decision-based attack poses a severe threat to real-world applications since it regards the target model as a black box and only accesses the hard prediction label.
1 code implementation • 21 Aug 2021 • Haibo Qiu, Dihong Gong, Zhifeng Li, Wei Liu, DaCheng Tao
However, the state-of-the-art general face recognition models do not generalize well to occluded face images, which are exactly the common cases in real-world scenarios.
1 code implementation • ICCV 2021 • Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, DaCheng Tao
We then analyze the underlying causes behind the performance gap, e. g., the poor intra-class variations and the domain gap between synthetic and real face images.
1 code implementation • 15 Mar 2021 • Xiaolong Yang, Xiaohong Jia, Dihong Gong, Dong-Ming Yan, Zhifeng Li, Wei Liu
We prove that face rotation in the image space is equivalent to an additive residual component in the feature space of CNNs, which is determined solely by the rotation.
1 code implementation • 2 Dec 2020 • Chaofeng Chen, Dihong Gong, Hao Wang, Zhifeng Li, Kwan-Yee K. Wong
Visualization of the attention maps shows that our spatial attention network can capture the key face structures well even for very low resolution faces (e. g., $16\times16$).
2 code implementations • 17 Aug 2019 • Lingxue Song, Dihong Gong, Zhifeng Li, Changsong Liu, Wei Liu
Deep Convolutional Neural Networks (CNNs) have been pushing the frontier of the face recognition research in the past years.
1 code implementation • CVPR 2019 • Hao Wang, Dihong Gong, Zhifeng Li, Wei Liu
To reduce such a discrepancy, in this paper we propose a novel algorithm to remove age-related components from features mixed with both identity and age information.
Ranked #3 on Age-Invariant Face Recognition on CACDVS
no code implementations • ECCV 2018 • Yitong Wang, Dihong Gong, Zheng Zhou, Xing Ji, Hao Wang, Zhifeng Li, Wei Liu, Tong Zhang
Extensive experiments conducted on the three public domain face aging datasets (MORPH Album 2, CACD-VS and FG-NET) have shown the effectiveness of the proposed approach and the value of the constructed CAF dataset on AIFR.
Ranked #3 on Age-Invariant Face Recognition on MORPH Album2
10 code implementations • CVPR 2018 • Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li, Wei Liu
The central task of face recognition, including face verification and identification, involves face feature discrimination.
Ranked #3 on Face Verification on YouTube Faces DB
no code implementations • CVPR 2015 • Dihong Gong, Zhifeng Li, DaCheng Tao, Jianzhuang Liu, Xuelong. Li
In this paper, we propose a new approach to overcome the representation and matching problems in age invariant face recognition.