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2020 – today
- 2024
[c18]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. CVPR Workshops 2024: 1481-1489- [c17]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: 5290-5294 - [i14]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 abs/2401.01575 (2024) - [i13]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 abs/2403.06529 (2024) - 2023
- [c16]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: 38-47 - [i12]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 abs/2302.05621 (2023) - [i11]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 abs/2304.02284 (2023) - 2022
- [j2]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: 1186-1197 (2022) - [c15]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: 1851-1854 - [c14]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: 83-92 - [i10]Yaoyao Zhong, Weihong Deng, Jiani Hu, Dongyue Zhao, Xian Li, Dongchao Wen:
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition. CoRR abs/2205.12010 (2022) - [i9]Yuhang Zhang, Weihong Deng, Xingchen Cui, Yunfeng Yin, Hongzhi Shi, Dongchao Wen:
Model and Data Agreement for Learning with Noisy Labels. CoRR abs/2212.01054 (2022) - 2021
- [j1]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: 2587-2598 (2021) - [c13]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: 3182-3190 - [c12]Han Fang, Weihong Deng, Yaoyao Zhong, Jiani Hu, Dongyue Zhao, Xian Li, Dongchao Wen:
Augmented Face Representation Learning via Transitive Distillation. FG 2021: 1-8 - [c11]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: 15045-15055 - [c10]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: 3427-3436 - [i8]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 abs/2104.14124 (2021) - [i7]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 abs/2104.14125 (2021) - [i6]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 abs/2104.14126 (2021) - 2020
- [c9]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: 171-188 - [c8]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: 2880-2889 - [c7]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: 7728-7737 - [c6]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: 3-17 - [c5]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: 38-53 - [i5]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 abs/2009.04626 (2020) - [i4]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 abs/2009.13799 (2020)
2010 – 2019
- 2019
- [c4]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: 149-157 - [c3]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: 168-177 - [c2]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: 638-646 - [i3]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 abs/1911.05329 (2019) - [i2]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 abs/1911.05341 (2019) - [i1]Hongxing Gao, Wei Tao, Dongchao Wen, Tse-Wei Chen, Kinya Osa, Masami Kato:
IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision. CoRR abs/1911.08076 (2019) - 2018
- [c1]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: 607-615
Coauthor Index
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