Search Results for author: Dan Zeng

Found 19 papers, 4 papers with code

Combating Ambiguity for Hash-code Learning in Medical Instance Retrieval

1 code implementation19 May 2021 Jiansheng Fang, Huazhu Fu, Dan Zeng, Xiao Yan, Yuguang Yan, Jiang Liu

When encountering a dubious diagnostic case, medical instance retrieval can help radiologists make evidence-based diagnoses by finding images containing instances similar to a query case from a large image database.

Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face Learning

no code implementations10 May 2021 Hailin Shi, Dan Zeng, Yichun Tai, Hang Du, Yibo Hu, Tao Mei

However, unlike the existing public face datasets, in many real-world scenarios of face recognition, the depth of training dataset is shallow, which means only two face images are available for each ID.

Face Recognition

Towards NIR-VIS Masked Face Recognition

no code implementations14 Apr 2021 Hang Du, Hailin Shi, Yinglu Liu, Dan Zeng, Tao Mei

In this paper, we aim to address the challenge of NIR-VIS masked face recognition from the perspectives of training data and training method.

3D Face Reconstruction Heterogeneous Face Recognition +1

Student Network Learning via Evolutionary Knowledge Distillation

no code implementations23 Mar 2021 Kangkai Zhang, Chunhui Zhang, Shikun Li, Dan Zeng, Shiming Ge

Inspired by that, we propose an evolutionary knowledge distillation approach to improve the transfer effectiveness of teacher knowledge.

Knowledge Distillation Transfer Learning

Neural Architecture Search for Joint Human Parsing and Pose Estimation

1 code implementation ICCV 2021 Dan Zeng, Yuhang Huang, Qian Bao, Junjie Zhang, Chi Su, Wu Liu

With the spirit of NAS, we propose to search for an efficient network architecture (NPPNet) to tackle two tasks at the same time.

Human Parsing Neural Architecture Search +1

The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances

no code implementations28 Sep 2020 Hang Du, Hailin Shi, Dan Zeng, XiaoPing Zhang, Tao Mei

Nowadays, all of the three elements are fulfilled by the technique of deep convolutional neural network. In this survey article, we present a comprehensive review about the recent advance of each element of the end-to-end deep face recognition, since the thriving deep learning techniques have greatly improved the capability of them.

Face Alignment Face Detection +1

NPCFace: Negative-Positive Collaborative Training for Large-scale Face Recognition

no code implementations20 Jul 2020 Dan Zeng, Hailin Shi, Hang Du, Jun Wang, Zhen Lei, Tao Mei

However, the correlation between hard positive and hard negative is overlooked, and so is the relation between the margins in positive and negative logits.

Face Recognition

Semi-Siamese Training for Shallow Face Learning

2 code implementations ECCV 2020 Hang Du, Hailin Shi, Yuchi Liu, Jun Wang, Zhen Lei, Dan Zeng, Tao Mei

Extensive experiments on various benchmarks of face recognition show the proposed method significantly improves the training, not only in shallow face learning, but also for conventional deep face data.

Face Recognition

A survey of face recognition techniques under occlusion

no code implementations19 Jun 2020 Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers

As a part of this review, we introduce face detection under occlusion, a preliminary step in face recognition.

Face Detection Face Recognition

Robust Visual Object Tracking with Two-Stream Residual Convolutional Networks

no code implementations13 May 2020 Ning Zhang, Jingen Liu, Ke Wang, Dan Zeng, Tao Mei

Inspired by the human "visual tracking" capability which leverages motion cues to distinguish the target from the background, we propose a Two-Stream Residual Convolutional Network (TS-RCN) for visual tracking, which successfully exploits both appearance and motion features for model update.

Visual Object Tracking Visual Tracking

Theme-Matters: Fashion Compatibility Learning via Theme Attention

no code implementations12 Dec 2019 Jui-Hsin Lai, Bo Wu, Xin Wang, Dan Zeng, Tao Mei, Jingen Liu

This model associates themes with the pairwise compatibility with attention, and thus compute the outfit-wise compatibility.

Zooming into Face Forensics: A Pixel-level Analysis

no code implementations12 Dec 2019 Jia Li, Tong Shen, Wei zhang, Hui Ren, Dan Zeng, Tao Mei

The stunning progress in face manipulation methods has made it possible to synthesize realistic fake face images, which poses potential threats to our society.

Classification General Classification

Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering

no code implementations2 Sep 2019 Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang

For auto-weighting, RFA-LCF jointly preserves the manifold structures in the basis concept space and new coordinate space in an adaptive manner by minimizing the reconstruction errors on clean data, anchor points and coordinates.

MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks

1 code implementation6 Aug 2019 Chen Ma, Chenxu Zhao, Hailin Shi, Li Chen, Junhai Yong, Dan Zeng

To solve such few-shot problem with the evolving attack, we propose a meta-learning based robust detection method to detect new adversarial attacks with limited examples.

Adversarial Attack Detection Meta-Learning

Super-pixel cloud detection using Hierarchical Fusion CNN

no code implementations19 Oct 2018 Han Liu, Dan Zeng, Qi Tian

Secondly, super-pixel level database is used to train our cloud detection models based on CNN and deep forest.

Cloud Detection General Classification +1

Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition

no code implementations CVPR 2018 Feng Liu, Ronghang Zhu, Dan Zeng, Qijun Zhao, Xiaoming Liu

This paper proposes an encoder-decoder network to disentangle shape features during 3D face reconstruction from single 2D images, such that the tasks of reconstructing accurate 3D face shapes and learning discriminative shape features for face recognition can be accomplished simultaneously.

3D Face Reconstruction Face Identification +1

Joint Face Alignment and 3D Face Reconstruction with Application to Face Recognition

no code implementations9 Aug 2017 Feng Liu, Qijun Zhao, Xiaoming Liu, Dan Zeng

Extensive experiments show that the proposed method can achieve the state-of-the-art accuracy in both face alignment and 3D face reconstruction, and benefit face recognition owing to its reconstructed PEN 3D face.

3D Face Reconstruction Face Alignment +1

Shape Recognition by Bag of Skeleton-associated Contour Parts

no code implementations20 May 2016 Wei Shen, Yuan Jiang, Wenjing Gao, Dan Zeng, Xinggang Wang

Contour and skeleton are two complementary representations for shape recognition.

On 3D Face Reconstruction via Cascaded Regression in Shape Space

no code implementations21 Sep 2015 Feng Liu, Dan Zeng, Jing Li, Qijun Zhao

Cascaded regression has been recently applied to reconstructing 3D faces from single 2D images directly in shape space, and achieved state-of-the-art performance.

3D Face Reconstruction

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