Search Results for author: Jingdong Chen

Found 16 papers, 5 papers with code

Variational Connectionist Temporal Classification

no code implementations ECCV 2020 Linlin Chao, Jingdong Chen, Wei Chu

However, CTC tends to output spiky distributions since it prefers to output blank symbol most of the time.

Classification General Classification +2

The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction

no code implementations15 Sep 2023 Shilong Wu, Chenxi Wang, Hang Chen, Yusheng Dai, Chenyue Zhang, Ruoyu Wang, Hongbo Lan, Jun Du, Chin-Hui Lee, Jingdong Chen, Shinji Watanabe, Sabato Marco Siniscalchi, Odette Scharenborg, Zhong-Qiu Wang, Jia Pan, Jianqing Gao

This pioneering effort aims to set the first benchmark for the AVTSE task, offering fresh insights into enhancing the ac-curacy of back-end speech recognition systems through AVTSE in challenging and real acoustic environments.

Audio-Visual Speech Recognition speech-recognition +2

Mapping EEG Signals to Visual Stimuli: A Deep Learning Approach to Match vs. Mismatch Classification

no code implementations8 Sep 2023 Yiqian Yang, Zhengqiao Zhao, Qian Wang, Yan Yang, Jingdong Chen

Existing approaches to modeling associations between visual stimuli and brain responses are facing difficulties in handling between-subject variance and model generalization.

EEG Video Reconstruction

Robust Manifold Nonnegative Tucker Factorization for Tensor Data Representation

no code implementations8 Nov 2022 Jianyu Wang, Linruize Tang, Jie Chen, Jingdong Chen

Nonnegative Tucker Factorization (NTF) minimizes the euclidean distance or Kullback-Leibler divergence between the original data and its low-rank approximation which often suffers from grossly corruptions or outliers and the neglect of manifold structures of data.

Hierarchical Memory Learning for Fine-Grained Scene Graph Generation

no code implementations14 Mar 2022 Youming Deng, Yansheng Li, Yongjun Zhang, Xiang Xiang, Jian Wang, Jingdong Chen, Jiayi Ma

After the autonomous partition of coarse and fine predicates, the model is first trained on the coarse predicates and then learns the fine predicates.

Graph Generation Scene Graph Generation

Training Protocol Matters: Towards Accurate Scene Text Recognition via Training Protocol Searching

2 code implementations13 Mar 2022 Xiaojie Chu, Yongtao Wang, Chunhua Shen, Jingdong Chen, Wei Chu

The development of scene text recognition (STR) in the era of deep learning has been mainly focused on novel architectures of STR models.

Scene Text Recognition

Training Object Detectors From Scratch: An Empirical Study in the Era of Vision Transformer

no code implementations CVPR 2022 Weixiang Hong, Jiangwei Lao, Wang Ren, Jian Wang, Jingdong Chen, Wei Chu

Instead of proposing a specific vision transformer based detector, in this work, our goal is to reveal the insights of training vision transformer based detectors from scratch.

object-detection Object Detection +1

CBNet: A Composite Backbone Network Architecture for Object Detection

5 code implementations1 Jul 2021 TingTing Liang, Xiaojie Chu, Yudong Liu, Yongtao Wang, Zhi Tang, Wei Chu, Jingdong Chen, Haibin Ling

With multi-scale testing, we push the current best single model result to a new record of 60. 1% box AP and 52. 3% mask AP without using extra training data.

Ranked #6 on Object Detection on COCO-O (using extra training data)

Instance Segmentation object-detection +1

MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction

no code implementations24 Jun 2021 Guozhi Tang, Lele Xie, Lianwen Jin, Jiapeng Wang, Jingdong Chen, Zhen Xu, Qianying Wang, Yaqiang Wu, Hui Li

Through key-value matching based on relevancy evaluation, the proposed MatchVIE can bypass the recognitions to various semantics, and simply focuses on the strong relevancy between entities.

LPSNet: A Lightweight Solution for Fast Panoptic Segmentation

no code implementations CVPR 2021 Weixiang Hong, Qingpei Guo, Wei zhang, Jingdong Chen, Wei Chu

Panoptic segmentation is a challenging task aiming to simultaneously segment objects (things) at instance level and background contents (stuff) at semantic level.

Instance Segmentation Panoptic Segmentation

CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes

1 code implementation23 May 2021 Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuze Zhang, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma

Then, we design a two-level perturbation fusion strategy to alleviate the conflict between the adversarial watermarks generated by different facial images and models.

Adversarial Attack Face Swapping +1

Partial AUC optimization based deep speaker embeddings with class-center learning for text-independent speaker verification

no code implementations19 Nov 2019 Zhongxin Bai, Xiao-Lei Zhang, Jingdong Chen

We also propose a class-center based training trial construction method to improve the training efficiency, which is critical for the proposed loss function to be comparable to the identification loss in performance.

Text-Independent Speaker Verification

End-to-End Model for Speech Enhancement by Consistent Spectrogram Masking

no code implementations2 Jan 2019 Xingjian Du, Mengyao Zhu, Xuan Shi, Xinpeng Zhang, Wen Zhang, Jingdong Chen

The experiments comparing ourCSM based end-to-end model with other methods are conductedto confirm that the CSM accelerate the model training andhave significant improvements in speech quality.

Speech Enhancement

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