Kai Chen
Orcid: 0000-0001-6384-0355Affiliations:
- University of Science and Technology of China, Department of Electronics Science and Technology, Hefei, China
- Microsoft Research Asia, Beijing, China
According to our database1,
Kai Chen
authored at least 23 papers
between 2012 and 2023.
Collaborative distances:
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Bibliography
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023
Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023
2022
APRNet: Attention-based Pixel-wise Rendering Network for Photo-Realistic Text Image Generation.
CoRR, 2022
2021
An Encoder-Decoder Approach to Handwritten Mathematical Expression Recognition with Multi-head Attention and Stacked Decoder.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021
2020
Improving Knowledge Distillation of CTC-Trained Acoustic Models With Alignment-Consistent Ensemble and Target Delay.
IEEE ACM Trans. Audio Speech Lang. Process., 2020
Improving Handwritten OCR with Augmented Text Line Images Synthesized from Online Handwriting Samples by Style-Conditioned GAN.
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Compressing CNN-DBLSTM models for OCR with teacher-student learning and Tucker decomposition.
Pattern Recognit., 2019
Compression of CTC-Trained Acoustic Models by Dynamic Frame-Wise Distillation or Segment-Wise N-Best Hypotheses Imitation.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
2018
Building Compact CNN-DBLSTM Based Character Models for Handwriting Recognition and OCR by Teacher-Student Learning.
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018
2017
Sequence Discriminative Training for Offline Handwriting Recognition by an Interpolated CTC and Lattice-Free MMI Objective Function.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
A Compact CNN-DBLSTM Based Character Model for Offline Handwriting Recognition with Tucker Decomposition.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
A Compact CNN-DBLSTM Based Character Model for Online Handwritten Chinese Text Recognition.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
2016
Training Deep Bidirectional LSTM Acoustic Model for LVCSR by a Context-Sensitive-Chunk BPTT Approach.
IEEE ACM Trans. Audio Speech Lang. Process., 2016
Scalable training of deep learning machines by incremental block training with intra-block parallel optimization and blockwise model-update filtering.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Pattern Recognit., 2015
Training deep bidirectional LSTM acoustic model for LVCSR by a context-sensitive-chunk BPTT approach.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015
A context-sensitive-chunk BPTT approach to training deep LSTM/BLSTM recurrent neural networks for offline handwriting recognition.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015
2014
Robust Text Detection in Natural Scene Images by Generalized Color-Enhanced Contrasting Extremal Region and Neural Networks.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
2012
Designing compact classifiers for rotation-free recognition of large vocabulary online handwritten Chinese characters.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012