Haisong Ding

According to our database, Haisong Ding authored at least 15 papers between 2017 and 2023.

Collaborative distances:

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

2023

GlyphControl: Glyph Conditional Control for Visual Text Generation.

Yukang Yang, Dongnan Gui, Yuhui Yuan, Haisong Ding, Han Hu, Kai Chen

CoRR, 2023

GlyphControl: Glyph Conditional Control for Visual Text Generation.

Yukang Yang, Dongnan Gui, Yuhui Yuan, Weicong Liang, Haisong Ding, Han Hu, Kai Chen

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.

Dongnan Gui, Kai Chen, Haisong Ding, Qiang Huo

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model.

Haisong Ding, Bozhi Luan, Dongnan Gui, Kai Chen, Qiang Huo

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

2022

APRNet: Attention-based Pixel-wise Rendering Network for Photo-Realistic Text Image Generation.

Yangming Shi, Haisong Ding, Kai Chen, Qiang Huo

CoRR, 2022

2021

An Encoder-Decoder Approach to Handwritten Mathematical Expression Recognition with Multi-head Attention and Stacked Decoder.

Haisong Ding, Kai Chen, Qiang Huo

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.

Haisong Ding, Kai Chen, Qiang Huo

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.

Mingyang Guan, Haisong Ding, Kai Chen, Qiang Huo

Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

Parallelizing Adam Optimizer with Blockwise Model-Update Filtering.

Kai Chen, Haisong Ding, Qiang Huo

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Compressing CNN-DBLSTM models for OCR with teacher-student learning and Tucker decomposition.

Haisong Ding, Kai Chen, Qiang Huo

Pattern Recognit., 2019

Compression of CTC-Trained Acoustic Models by Dynamic Frame-Wise Distillation or Segment-Wise N-Best Hypotheses Imitation.

Haisong Ding, Kai Chen, Qiang Huo

Proceedings of the Interspeech 2019, 2019

2018

Building Compact CNN-DBLSTM Based Character Models for Handwriting Recognition and OCR by Teacher-Student Learning.

Haisong Ding, Kai Chen, Wenping Hu, Meng Cai, Qiang Huo

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.

Wenping Hu, Meng Cai, Kai Chen, Haisong Ding, Lei Sun, Sen Liang, Xiongjian Mo, Qiang Huo

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.

Haisong Ding, Kai Chen, Ye Yuan, Meng Cai, Lei Sun, Sen Liang, Qiang Huo

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.

Kai Chen, Li Tian, Haisong Ding, Meng Cai, Lei Sun, Sen Liang, Qiang Huo

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017