Search Results for author: Rui Dai

Found 20 papers, 7 papers with code

JOADAA: joint online action detection and action anticipation

no code implementations12 Sep 2023 Mohammed Guermal, Francois Bremond, Rui Dai, Abid Ali

By combining action anticipation and online action detection, our approach can cover the missing dependencies of future information in online action detection.

Action Anticipation Online Action Detection

Dual Effects of the US-China Trade War and COVID-19 on United States Imports: Transfer of China's industrial chain?

no code implementations5 Sep 2023 Wei Luo, Siyuan Kang, Sheng Hu, Lixian Su, Rui Dai

However, the worldwide lockdowns over pandemic have reversed this trend as, over this period, the U. S. effectively imported more goods directly from China and indirectly through Southeast Asian exporters that imported from China.

Moderately Distributional Exploration for Domain Generalization

1 code implementation27 Apr 2023 Rui Dai, Yonggang Zhang, Zhen Fang, Bo Han, Xinmei Tian

We show that MODE can endow models with provable generalization performance on unknown target domains.

Domain Generalization

Company Competition Graph

no code implementations1 Apr 2023 Yanci Zhang, Yutong Lu, Haitao Mao, Jiawei Huang, Cien Zhang, Xinyi Li, Rui Dai

Based on the output from our system, we construct a knowledge graph with more than 700 nodes and 1200 edges.

Knowledge Graphs

Form 10-K Itemization

no code implementations18 Feb 2023 Yanci Zhang, Mengjia Xia, Mingyang Li, Haitao Mao, Yutong Lu, Yupeng Lan, Jinlin Ye, Rui Dai

With the segmented Item sections, NLP techniques can directly apply on those Item sections related to downstream tasks.

Financial Analysis Retrieval

THORN: Temporal Human-Object Relation Network for Action Recognition

no code implementations20 Apr 2022 Mohammed Guermal, Rui Dai, Francois Bremond

In this work, we present an end-to-end network: THORN, that can leverage important human-object and object-object interactions to predict actions.

Action Recognition Human-Object Interaction Detection +3

CTRN: Class-Temporal Relational Network for Action Detection

no code implementations26 Oct 2021 Rui Dai, Srijan Das, Francois Bremond

Action detection is an essential and challenging task, especially for densely labelled datasets of untrimmed videos.

Action Detection

Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection

no code implementations ICCV 2021 Rui Dai, Srijan Das, Francois Bremond

On the other hand, sequence-level distillation encourages the student to learn the temporal knowledge from the teacher, which consists of transferring the Global Contextual Relations and the Action Boundary Saliency.

Action Detection Knowledge Distillation +1

VPN++: Rethinking Video-Pose embeddings for understanding Activities of Daily Living

1 code implementation17 May 2021 Srijan Das, Rui Dai, Di Yang, Francois Bremond

But the cost of computing 3D poses from RGB stream is high in the absence of appropriate sensors.

Ranked #10 on Action Recognition on NTU RGB+D 120 (using extra training data)

Action Classification Action Recognition +1

Form 10-Q Itemization

no code implementations23 Apr 2021 Yanci Zhang, Tianming Du, Yujie Sun, Lawrence Donohue, Rui Dai

The quarterly financial statement, or Form 10-Q, is one of the most frequently required filings for US public companies to disclose financial and other important business information.

Retrieval

Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data

no code implementations23 Jun 2020 Rui Dai, Shenkun Xu, Qian Gu, Chenguang Ji, Kaikui Liu

To address this issue, we propose the Hybrid Spatio-Temporal Graph Convolutional Network (H-STGCN), which is able to "deduce" future travel time by exploiting the data of upcoming traffic volume.

Traffic Prediction

Convolutional Gated Recurrent Units for Medical Relation Classification

no code implementations29 Jul 2018 Bin He, Yi Guan, Rui Dai

Convolutional neural network (CNN) and recurrent neural network (RNN) models have become the mainstream methods for relation classification.

Classification General Classification +2

Classifying medical relations in clinical text via convolutional neural networks

no code implementations17 May 2018 Bin He, Yi Guan, Rui Dai

Deep learning research on relation classification has achieved solid performance in the general domain.

Classification General Classification +2

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