Search Results for author: Dan Zeng

Found 41 papers, 15 papers with code

Masked Face Recognition with Generative-to-Discriminative Representations

no code implementations27 May 2024 Shiming Ge, Weijia Guo, Chenyu Li, Junzheng Zhang, Yong Li, Dan Zeng

First, we leverage a generative encoder pretrained for face inpainting and finetune it to represent masked faces into category-aware descriptors.

Attribute Face Recognition +1

3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset

1 code implementation23 Apr 2024 Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng

Evaluating the performance of Multi-modal Large Language Models (MLLMs), integrating both point cloud and language, presents significant challenges.

Harnessing Intra-group Variations Via a Population-Level Context for Pathology Detection

no code implementations4 Mar 2024 P. Bilha Githinji, Xi Yuan, Zhenglin Chen, Ijaz Gul, Dingqi Shang, Wen Liang, Jianming Deng, Dan Zeng, Dongmei Yu, Chenggang Yan, Peiwu Qin

Realizing sufficient separability between the distributions of healthy and pathological samples is a critical obstacle for pathology detection convolutional models.

Fact-checking based fake news detection: a review

no code implementations3 Jan 2024 Yuzhou Yang, Yangming Zhou, Qichao Ying, Zhenxing Qian, Dan Zeng, Liang Liu

This paper reviews and summarizes the research results on fact-based fake news from the perspectives of tasks and problems, algorithm strategies, and datasets.

Fact Checking Fake News Detection

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy

3 code implementations26 Dec 2023 Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge

Nowadays, optimization-oriented methods have been the primary method in the field of dataset condensation for achieving SOTA results.

Dataset Condensation

Coupled Confusion Correction: Learning from Crowds with Sparse Annotations

2 code implementations12 Dec 2023 Hansong Zhang, Shikun Li, Dan Zeng, Chenggang Yan, Shiming Ge

Moreover, we cluster the ``annotator groups'' who share similar expertise so that their confusion matrices could be corrected together.

Towards Discriminative Representations with Contrastive Instances for Real-Time UAV Tracking

no code implementations22 Aug 2023 Dan Zeng, Mingliang Zou, Xucheng Wang, Shuiwang Li

Lightweight Deep learning (DL)-based trackers can achieve a good balance between efficiency and precision but performance gains are limited by the compression rate.

Contrastive Learning

RGB-T Semantic Segmentation with Location, Activation, and Sharpening

1 code implementation26 Oct 2022 Gongyang Li, Yike Wang, Zhi Liu, Xinpeng Zhang, Dan Zeng

The highlight of LASNet is that we fully consider the characteristics of cross-modal features at different levels, and accordingly propose three specific modules for better segmentation.

Decoder Scene Understanding +3

Scale Attention for Learning Deep Face Representation: A Study Against Visual Scale Variation

no code implementations19 Sep 2022 Hailin Shi, Hang Du, Yibo Hu, Jun Wang, Dan Zeng, Ting Yao

Such multi-shot scheme brings inference burden, and the predefined scales inevitably have gap from real data.

Face Recognition

SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image

1 code implementation28 Jul 2022 Yan Hu, Zhongxi Qiu, Dan Zeng, Li Jiang, Chen Lin, Jiang Liu

Vascular segmentation extracts blood vessels from images and serves as the basis for diagnosing various diseases, like ophthalmic diseases.

Medical Image Segmentation Segmentation +1

Deepfake Video Detection with Spatiotemporal Dropout Transformer

no code implementations14 Jul 2022 Daichi Zhang, Fanzhao Lin, Yingying Hua, Pengju Wang, Dan Zeng, Shiming Ge

Existing image-level approaches often focus on single frame and ignore the spatiotemporal cues hidden in deepfake videos, resulting in poor generalization and robustness.

Data Augmentation Face Swapping

Rank-Based Filter Pruning for Real-Time UAV Tracking

no code implementations5 Jul 2022 Xucheng Wang, Dan Zeng, Qijun Zhao, Shuiwang Li

Model compression is a promising way to narrow the gap (i. e., effciency, precision) between DCF- and deep learning- based trackers, which has not caught much attention in UAV tracking.

Model Compression

Bootstrapping Multi-view Representations for Fake News Detection

1 code implementation12 Jun 2022 Qichao Ying, Xiaoxiao Hu, Yangming Zhou, Zhenxing Qian, Dan Zeng, Shiming Ge

Representations from each view are separately used to coarsely predict the fidelity of the whole news, and the multimodal representations are able to predict the cross-modal consistency.

Decision Making Fake News Detection

Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images

1 code implementation25 Mar 2022 Gongyang Li, Zhi Liu, Dan Zeng, Weisi Lin, Haibin Ling

As the key component of ACCoNet, ACCoM activates the salient regions of output features of the encoder and transmits them to the decoder.

Decoder object-detection +2

Trustable Co-label Learning from Multiple Noisy Annotators

1 code implementation8 Mar 2022 Shikun Li, Tongliang Liu, Jiyong Tan, Dan Zeng, Shiming Ge

This raises the following important question: how can we effectively use a small amount of trusted data to facilitate robust classifier learning from multiple annotators?

Face2Exp: Combating Data Biases for Facial Expression Recognition

1 code implementation CVPR 2022 Dan Zeng, Zhiyuan Lin, Xiao Yan, YuTing Liu, Fei Wang, Bo Tang

To combat the mismatch between FR and FER data, Meta-Face2Exp uses a circuit feedback mechanism, which improves the base network with the feedback from the adaptation network.

Face Recognition Facial Expression Recognition +1

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.

Retrieval Specificity

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, ZiCheng Zhang, 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 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.

Decoder Human Parsing +2

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

3 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 +1

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.

Fashion Compatibility Learning

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 +1

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.

Clustering

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.

Binary Classification Cloud Detection +2

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 Decoder +2

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 regression

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