Dongchao Wen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 33

Top Topics

Face Recognition

Optimization Methods

Top Venues

ECCV Workshops (5)

Publications

Xuannan Liu, Yaoyao Zhong, Weihong Deng, Hongzhi Shi, Xingchen Cui, Yunfeng Yin, Dongchao Wen
Enhancing Generalization of Invisible Facial Privacy Cloak via Gradient Accumulation. CoRR (2024)
Xuannan Liu, Yaoyao Zhong, Weihong Deng, Hongzhi Shi, Xingchen Cui, Yunfeng Yin, Dongchao Wen
Enhancing Generalization Of Invisible Facial Privacy Cloak Via Gradient Accumulation. ICASSP (2024)
Zijian Chen, Mei Wang, Weihong Deng, Hongzhi Shi, Dongchao Wen, Yingjie Zhang, Xingchen Cui, Jian Zhao
Confidence-Aware RGB-D Face Recognition via Virtual Depth Synthesis. CoRR (2024)
Linzhi Huang, Mei Wang, Jiahao Liang, Weihong Deng, Hongzhi Shi, Dongchao Wen, Yingjie Zhang, Jian Zhao
Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention. CoRR (2023)
Xu Ling, Yichen Lu, Wenqi Xu, Weihong Deng, Yingjie Zhang, Xingchen Cui, Hongzhi Shi, Dongchao Wen
Dive into the Resolution Augmentations and Metrics in Low Resolution Face Recognition: A Plain yet Effective New Baseline. CoRR (2023)
Linzhi Huang, Mei Wang, Jiahao Liang, Weihong Deng, Hongzhi Shi, Dongchao Wen, Yingjie Zhang, Jian Zhao
Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention. CVPR Workshops (2023)
Shiyong Hong, Yaobin Zhang, Xu Ling, Weihong Deng, Yunfeng Yin, Yingjie Zhang, Hongzhi Shi, Dongchao Wen
Face Clustering via Adaptive Aggregation of Clean Neighbors. HCMA@MM (2022)
Yuhang Zhang, Weihong Deng, Xingchen Cui, Yunfeng Yin, Hongzhi Shi, Dongchao Wen
Model and Data Agreement for Learning with Noisy Labels. CoRR (2022)
Yaoyao Zhong, Weihong Deng, Jiani Hu, Dongyue Zhao, Xian Li, Dongchao Wen
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition. CoRR (2022)
Lingyan Liang, Gang Dong, Changsheng Li, Dongchao Wen, Yaqian Zhao, Jing Li
Improving Autism Spectrum Disorder Prediction by Fusion of Multiple Measures of Resting-State Functional MRI Data. EMBC (2022)
Yaoyao Zhong, Weihong Deng, Han Fang, Jiani Hu, Dongyue Zhao, Xian Li, Dongchao Wen
Dynamic Training Data Dropout for Robust Deep Face Recognition. IEEE Trans. Multim. 24 (2022)
Tse-Wei Chen, Motoki Yoshinaga, Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Kinya Osa, Masami Kato
Condensation-Net: Memory-Efficient Network Architecture with Cross-Channel Pooling Layers and Virtual Feature Maps. CoRR (2021)
Tse-Wei Chen, Deyu Wang, Wei Tao, Dongchao Wen, Lingxiao Yin, Tadayuki Ito, Kinya Osa, Masami Kato
CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications. CoRR (2021)
Han Fang, Weihong Deng, Yaoyao Zhong, Jiani Hu, Dongyue Zhao, Xian Li, Dongchao Wen
Augmented Face Representation Learning via Transitive Distillation. FG (2021)
Deyu Wang, Dongchao Wen, Wei Tao, Lingxiao Yin, Tse-Wei Chen, Tadayuki Ito, Kinya Osa, Masami Kato
FTAFace: Context-enhanced Face Detector with Fine-grained Task Attention. ACM Multimedia (2021)
Yaobin Zhang, Weihong Deng, Yaoyao Zhong, Jiani Hu, Xian Li, Dongyue Zhao, Dongchao Wen
Adaptive Label Noise Cleaning with Meta-Supervision for Deep Face Recognition. ICCV (2021)
Tse-Wei Chen, Wei Tao, Deyu Wang, Dongchao Wen, Kinya Osa, Masami Kato
Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions. CoRR (2021)
Yaoyao Zhong, Weihong Deng, Jiani Hu, Dongyue Zhao, Xian Li, Dongchao Wen
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition. IEEE Trans. Image Process. 30 (2021)
Tse-Wei Chen, Deyu Wang, Wei Tao, Dongchao Wen, Lingxiao Yin, Tadayuki Ito, Kinya Osa, Masami Kato
CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications. CVPR Workshops (2021)
Tse-Wei Chen, Wei Tao, Deyu Wang, Dongchao Wen, Kinya Osa, Masami Kato
Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions. ECCV Workshops (5) (2020)
Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato
BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model. CVPR Workshops (2020)
Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato
QuantNet: Learning to Quantize by Learning Within Fully Differentiable Framework. ECCV Workshops (5) (2020)
Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato
QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework. CoRR (2020)
Deyu Wang, Dongchao Wen, Junjie Liu, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato
Fully Supervised and Guided Distillation for One-Stage Detectors. ACCV (3) (2020)
Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato
BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model. CoRR (2020)
Yaobin Zhang, Weihong Deng, Mei Wang, Jiani Hu, Xian Li, Dongyue Zhao, Dongchao Wen
Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition. CVPR (2020)
Tse-Wei Chen, Motoki Yoshinaga, Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Kinya Osa, Masami Kato
Condensation-Net: Memory-Efficient Network Architecture With Cross-Channel Pooling Layers and Virtual Feature Maps. CVPR Workshops (2019)
Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Tse-Wei Chen, Kinya Osa, Masami Kato
DupNet: Towards Very Tiny Quantized CNN with Improved Accuracy for Face Detection. CoRR (2019)
Hongxing Gao, Wei Tao, Dongchao Wen, Tse-Wei Chen, Kinya Osa, Masami Kato
IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision. CoRR (2019)
Junjie Liu, Dongchao Wen, Hongxing Gao, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation. CoRR (2019)
Junjie Liu, Dongchao Wen, Hongxing Gao, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation. CVPR Workshops (2019)
Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Tse-Wei Chen, Kinya Osa, Masami Kato
DupNet: Towards Very Tiny Quantized CNN With Improved Accuracy for Face Detection. CVPR Workshops (2019)
Hongxing Gao, Wei Tao, Dongchao Wen, Tse-Wei Chen, Kinya Osa, Masami Kato
IFQ-Net: Integrated Fixed-Point Quantization Networks for Embedded Vision. CVPR Workshops (2018)