Search Results for author: Yunhai Tong

Found 31 papers, 18 papers with code

Graph Pointer Neural Networks

no code implementations3 Oct 2021 Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai

On the one hand, multi-hop-based approaches do not explicitly distinguish relevant nodes from a large number of multi-hop neighborhoods, leading to a severe over-smoothing problem.

Node Classification

Competence-based Curriculum Learning for Multilingual Machine Translation

no code implementations9 Sep 2021 Mingliang Zhang, Fandong Meng, Yunhai Tong, Jie zhou

Therefore, we focus on balancing the learning competencies of different languages and propose Competence-based Curriculum Learning for Multilingual Machine Translation, named CCL-M.

Curriculum Learning Machine Translation +1

Global Aggregation then Local Distribution for Scene Parsing

1 code implementation28 Jul 2021 Xiangtai Li, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Xiatian Zhu, Tao Xiang

Modelling long-range contextual relationships is critical for pixel-wise prediction tasks such as semantic segmentation.

Scene Parsing Semantic Segmentation

TS2Vec: Towards Universal Representation of Time Series

1 code implementation19 Jun 2021 Zhihan Yue, Yujing Wang, Juanyong Duan, Tianmeng Yang, Congrui Huang, Yunhai Tong, Bixiong Xu

Furthermore, to obtain the representation of an arbitrary sub-sequence in the time series, we can apply a simple aggregation over the representations of corresponding timestamps.

Contrastive Learning Time Series +3

BoundarySqueeze: Image Segmentation as Boundary Squeezing

1 code implementation25 May 2021 Hao He, Xiangtai Li, Kuiyuan Yang, Guangliang Cheng, Jianping Shi, Yunhai Tong, ZhengJun Zha, Lubin Weng

From this perspective, we propose \textbf{Boundary Squeeze} module: a novel and efficient module that squeezes the object boundary from both inner and outer directions which leads to precise mask representation.

Instance Segmentation Semantic Segmentation

Fast and Accurate Scene Parsing via Bi-direction Alignment Networks

1 code implementation25 May 2021 Yanran Wu, Xiangtai Li, Chen Shi, Yunhai Tong, Yang Hua, Tao Song, Ruhui Ma, Haibing Guan

Motivated by this, we propose a novel network by aligning two-path information into each other through a learned flow field.

Scene Parsing

Dynamic Dual Sampling Module for Fine-Grained Semantic Segmentation

no code implementations25 May 2021 Chen Shi, Xiangtai Li, Yanran Wu, Yunhai Tong, Yi Xu

Representation of semantic context and local details is the essential issue for building modern semantic segmentation models.

Semantic Segmentation

End-to-End Video Object Detection with Spatial-Temporal Transformers

no code implementations23 May 2021 Lu He, Qianyu Zhou, Xiangtai Li, Li Niu, Guangliang Cheng, Xiao Li, Wenxuan Liu, Yunhai Tong, Lizhuang Ma, Liqing Zhang

Recently, DETR and Deformable DETR have been proposed to eliminate the need for many hand-designed components in object detection while demonstrating good performance as previous complex hand-crafted detectors.

Optical Flow Estimation Video Object Detection

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation

1 code implementation CVPR 2021 Xiangtai Li, Hao He, Xia Li, Duo Li, Guangliang Cheng, Jianping Shi, Lubin Weng, Yunhai Tong, Zhouchen Lin

Experimental results on three different aerial segmentation datasets suggest that the proposed method is more effective and efficient than state-of-the-art general semantic segmentation methods.

Semantic Segmentation

Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees

1 code implementation EACL 2021 Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, Yunhai Tong

Pre-trained language models like BERT achieve superior performances in various NLP tasks without explicit consideration of syntactic information.

Natural Language Understanding

Evolving Attention with Residual Convolutions

no code implementations20 Feb 2021 Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong

In this paper, we propose a novel and generic mechanism based on evolving attention to improve the performance of transformers.

Image Classification Machine Translation +2

Predictive Attention Transformer: Improving Transformer with Attention Map Prediction

no code implementations1 Jan 2021 Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Yunhai Tong

Instead, we model their dependencies via a chain of prediction models that take previous attention maps as input to predict the attention maps of a new layer through convolutional neural networks.

Machine Translation

Towards Efficient Scene Understanding via Squeeze Reasoning

1 code implementation6 Nov 2020 Xiangtai Li, Xia Li, Ansheng You, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Zhouchen Lin

Instead of propagating information on the spatial map, we first learn to squeeze the input feature into a channel-wise global vector and perform reasoning within the single vector where the computation cost can be significantly reduced.

Instance Segmentation Object Detection +2

Multivariate Time-series Anomaly Detection via Graph Attention Network

2 code implementations4 Sep 2020 Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang

Anomaly detection on multivariate time-series is of great importance in both data mining research and industrial applications.

Anomaly Detection Graph Attention +2

Boundary Content Graph Neural Network for Temporal Action Proposal Generation

no code implementations ECCV 2020 Yueran Bai, Yingying Wang, Yunhai Tong, Yang Yang, Qiyue Liu, Junhui Liu

To address this issue, we propose a novel Boundary Content Graph Neural Network (BC-GNN) to model the insightful relations between the boundary and action content of temporal proposals by the graph neural networks.

Action Detection Action Understanding +1

Improving Semantic Segmentation via Decoupled Body and Edge Supervision

2 code implementations ECCV 2020 Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, Yunhai Tong

Our insight is that appealing performance of semantic segmentation requires \textit{explicitly} modeling the object \textit{body} and \textit{edge}, which correspond to the high and low frequency of the image.

Semantic Segmentation

Improving BERT with Self-Supervised Attention

1 code implementation8 Apr 2020 Xiaoyu Kou, Yaming Yang, Yujing Wang, Ce Zhang, Yiren Chen, Yunhai Tong, Yan Zhang, Jing Bai

However, one challenge remains as the fine-tuned model often overfits on smaller datasets.

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression

no code implementations COLING 2020 Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Yaming Yang, Quanlu Zhang, Yunhai Tong, Jing Bai

BERT is a cutting-edge language representation model pre-trained by a large corpus, which achieves superior performances on various natural language understanding tasks.

Knowledge Distillation Model Compression +1

Global Aggregation then Local Distribution in Fully Convolutional Networks

2 code implementations16 Sep 2019 Xiangtai Li, Li Zhang, Ansheng You, Maoke Yang, Kuiyuan Yang, Yunhai Tong

GALD is end-to-end trainable and can be easily plugged into existing FCNs with various global aggregation modules for a wide range of vision tasks, and consistently improves the performance of state-of-the-art object detection and instance segmentation approaches.

Instance Segmentation Object Detection +2

Dual Graph Convolutional Network for Semantic Segmentation

2 code implementations13 Sep 2019 Li Zhang, Xiangtai Li, Anurag Arnab, Kuiyuan Yang, Yunhai Tong, Philip H. S. Torr

Exploiting long-range contextual information is key for pixel-wise prediction tasks such as semantic segmentation.

Semantic Segmentation

Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images

no code implementations27 Jul 2019 Pengyu Zhao, Ansheng You, Yuanxing Zhang, Jiaying Liu, Kaigui Bian, Yunhai Tong

Specifically, we adapt the terminologies of the traditional object detection task to the omnidirectional scenarios, and propose a novel two-stage object detector, i. e., Reprojection R-CNN by combining both ERP and perspective projection.

Object Detection Region Proposal

GFF: Gated Fully Fusion for Semantic Segmentation

2 code implementations3 Apr 2019 Xiangtai Li, Houlong Zhao, Lei Han, Yunhai Tong, Kuiyuan Yang

Semantic segmentation generates comprehensive understanding of scenes through densely predicting the category for each pixel.

Scene Understanding Semantic Segmentation

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