Dongchao Wen

According to our database, Dongchao Wen authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis.

Zijian Chen, Mei Wang, Weihong Deng, Hongzhi Shi, Dongchao Wen, Yingjie Zhang, Xingchen Cui, Jian Zhao

CoRR, 2024

Enhancing Generalization of Invisible Facial Privacy Cloak via Gradient Accumulation.

Xuannan Liu, Yaoyao Zhong, Weihong Deng, Hongzhi Shi, Xingchen Cui, Yunfeng Yin, Dongchao Wen

CoRR, 2024

2023

Dive into the Resolution Augmentations and Metrics in Low Resolution Face Recognition: A Plain yet Effective New Baseline.

Xu Ling, Yichen Lu, Wenqi Xu, Weihong Deng, Yingjie Zhang, Xingchen Cui, Hongzhi Shi, Dongchao Wen

CoRR, 2023

Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention.

Linzhi Huang, Mei Wang, Jiahao Liang, Weihong Deng, Hongzhi Shi, Dongchao Wen, Yingjie Zhang, Jian Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Dynamic Training Data Dropout for Robust Deep Face Recognition.

Yaoyao Zhong, Weihong Deng, Han Fang, Jiani Hu, Dongyue Zhao, Xian Li, Dongchao Wen

IEEE Trans. Multim., 2022

Model and Data Agreement for Learning with Noisy Labels.

Yuhang Zhang, Weihong Deng, Xingchen Cui, Yunfeng Yin, Hongzhi Shi, Dongchao Wen

CoRR, 2022

Face Clustering via Adaptive Aggregation of Clean Neighbors.

Shiyong Hong, Yaobin Zhang, Xu Ling, Weihong Deng, Yunfeng Yin, Yingjie Zhang, Hongzhi Shi, Dongchao Wen

Proceedings of the HCMA@MM 2022: Proceedings of the 3rd International Workshop on Human-Centric Multimedia Analysis, 2022

Improving Autism Spectrum Disorder Prediction by Fusion of Multiple Measures of Resting-State Functional MRI Data.

Lingyan Liang, Gang Dong, Changsheng Li, Dongchao Wen, Yaqian Zhao, Jing Li

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition.

Yaoyao Zhong, Weihong Deng, Jiani Hu, Dongyue Zhao, Xian Li, Dongchao Wen

IEEE Trans. Image Process., 2021

FTAFace: Context-enhanced Face Detector with Fine-grained Task Attention.

Deyu Wang, Dongchao Wen, Wei Tao, Lingxiao Yin, Tse-Wei Chen, Tadayuki Ito, Kinya Osa, Masami Kato

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Adaptive Label Noise Cleaning with Meta-Supervision for Deep Face Recognition.

Yaobin Zhang, Weihong Deng, Yaoyao Zhong, Jiani Hu, Xian Li, Dongyue Zhao, Dongchao Wen

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Augmented Face Representation Learning via Transitive Distillation.

Han Fang, Weihong Deng, Yaoyao Zhong, Jiani Hu, Dongyue Zhao, Xian Li, Dongchao Wen

Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications.

Tse-Wei Chen, Deyu Wang, Wei Tao, Dongchao Wen, Lingxiao Yin, Tadayuki Ito, Kinya Osa, Masami Kato

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

QuantNet: Learning to Quantize by Learning Within Fully Differentiable Framework.

Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions.

Tse-Wei Chen, Wei Tao, Deyu Wang, Dongchao Wen, Kinya Osa, Masami Kato

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition.

Yaobin Zhang, Weihong Deng, Mei Wang, Jiani Hu, Xian Li, Dongyue Zhao, Dongchao Wen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model.

Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Fully Supervised and Guided Distillation for One-Stage Detectors.

Deyu Wang, Dongchao Wen, Junjie Liu, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation.

Junjie Liu, Dongchao Wen, Hongxing Gao, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

DupNet: Towards Very Tiny Quantized CNN With Improved Accuracy for Face Detection.

Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Tse-Wei Chen, Kinya Osa, Masami Kato

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Condensation-Net: Memory-Efficient Network Architecture With Cross-Channel Pooling Layers and Virtual Feature Maps.

Tse-Wei Chen, Motoki Yoshinaga, Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Kinya Osa, Masami Kato

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

IFQ-Net: Integrated Fixed-Point Quantization Networks for Embedded Vision.

Hongxing Gao, Wei Tao, Dongchao Wen, Tse-Wei Chen, Kinya Osa, Masami Kato

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018