b'Yue Hu'

research

∙ 09/15/2023

Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types

Computer vision (CV) pipelines are typically evaluated on datasets proce...

0 Yue Hu, et al. ∙

research

∙ 09/07/2023

Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation

With strong representation capabilities, pretrained vision-language mode...

0 Ting Liu, et al. ∙

research

∙ 08/27/2023

Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained Alignment

Image-text retrieval requires the system to bridge the heterogenous gap ...

0 Jiamin Zhuang, et al. ∙

research

∙ 07/19/2023

Deep unrolling Shrinkage Network for Dynamic MR imaging

Deep unrolling networks that utilize sparsity priors have achieved great...

0 Yinghao Zhang, et al. ∙

research

∙ 04/23/2023

Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks

With the rapid development of Internet of Things technologies, the next ...

0 Yue Hu, et al. ∙

research

∙ 03/24/2023

Category Query Learning for Human-Object Interaction Classification

Unlike most previous HOI methods that focus on learning better human-obj...

0 Chi Xie, et al. ∙

research

∙ 03/23/2023

Collaboration Helps Camera Overtake LiDAR in 3D Detection

Camera-only 3D detection provides an economical solution with a simple c...

7 Yue Hu, et al. ∙

research

∙ 02/24/2023

Subspace based Federated Unlearning

Federated learning (FL) enables multiple clients to train a machine lear...

0 Guanghao Li, et al. ∙

research

∙ 11/08/2022

ConsPrompt: Easily Exploiting Contrastive Samples for Few-shot Prompt Learning

Prompt learning recently become an effective linguistic tool to motivate...

0 Jinta Weng, et al. ∙

research

∙ 11/01/2022

FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation

Emotional Support Conversation (ESConv) aims to reduce help-seekers'emot...

15 Wei Peng, et al. ∙

research

∙ 10/29/2022

STPrompt: Semantic-guided and Task-driven prompts for Effective Few-shot Classification

The effectiveness of prompt learning has been demonstrated in different ...

0 Jinta Weng, et al. ∙

research

∙ 10/18/2022

Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation

3D point cloud semantic segmentation is one of the fundamental tasks for...

0 Yangheng Zhao, et al. ∙

research

∙ 10/14/2022

Psychology-guided Controllable Story Generation

Controllable story generation is a challenging task in the field of NLP,...

6 Yuqiang Xie, et al. ∙

research

∙ 09/26/2022

Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps

Multi-agent collaborative perception could significantly upgrade the per...

0 Yue Hu, et al. ∙

research

∙ 09/14/2022

COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities

Motivations, emotions, and actions are inter-related essential factors i...

7 Yuqiang Xie, et al. ∙

research

∙ 09/08/2022

T^2LR-Net: An Unrolling Reconstruction Network Learning Transformed Tensor Low-Rank prior for Dynamic MR Imaging

While the methods exploiting the tensor low-rank prior are booming in hi...

6 Yinghao Zhang, et al. ∙

research

∙ 08/27/2022

Multi-level Contrastive Learning Framework for Sequential Recommendation

Sequential recommendation (SR) aims to predict the subsequent behaviors ...

0 Ziyang Wang, et al. ∙

research

∙ 08/08/2022

Aerial Monocular 3D Object Detection

Drones equipped with cameras can significantly enhance human ability to ...

2 Yue Hu, et al. ∙

research

∙ 07/18/2022

Latency-Aware Collaborative Perception

Collaborative perception has recently shown great potential to improve p...

0 Zixing Lei, et al. ∙

research

∙ 06/24/2022

Do You Know My Emotion? Emotion-Aware Strategy Recognition towards a Persuasive Dialogue System

Persuasive strategy recognition task requires the system to recognize th...

3 Wei Peng, et al. ∙

research

∙ 06/21/2022

FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity

Federated Learning (FL) enables training a global model without sharing ...

0 Guanghao Li, et al. ∙

research

∙ 06/02/2022

Dynamic MRI using Learned Transform-based Deep Tensor Low-Rank Network (DTLR-Net)

While low-rank matrix prior has been exploited in dynamic MR image recon...

0 Yinghao Zhang, et al. ∙

research

∙ 06/02/2022

Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations

Low-rank tensor models have been applied in accelerating dynamic magneti...

0 Yinghao Zhang, et al. ∙

research

∙ 05/18/2022

Testing the parametric form of the conditional variance in regressions based on distance covariance

In this paper, we propose a new test for checking the parametric form of...

0 Yue Hu, et al. ∙

research

∙ 05/07/2022

CogIntAc: Modeling the Relationships between Intention, Emotion and Action in Interactive Process from Cognitive Perspective

Intention, emotion and action are important psychological factors in hum...

5 Wei Peng, et al. ∙

research

∙ 04/27/2022

Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation

Emotional support conversation aims at reducing the emotional distress o...

0 Wei Peng, et al. ∙

research

∙ 03/17/2022

MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering

Knowledge-based visual question answering requires the ability of associ...

0 Yang Ding, et al. ∙

research

∙ 02/18/2022

CLSEG: Contrastive Learning of Story Ending Generation

Story Ending Generation (SEG) is a challenging task in natural language ...

3 Yuqiang Xie, et al. ∙

research

∙ 02/14/2022

Modeling Intention, Emotion and External World in Dialogue Systems

Intention, emotion and action are important elements in human activities...

0 Wei Peng, et al. ∙

research

∙ 09/01/2021

Streaming data preprocessing via online tensor recovery for large environmental sensor networks

Measuring the built and natural environment at a fine-grained scale is n...

0 Yue Hu, et al. ∙

research

∙ 07/16/2021

Know Deeper: Knowledge-Conversation Cyclic Utilization Mechanism for Open-domain Dialogue Generation

End-to-End intelligent neural dialogue systems suffer from the problems ...

6 Yajing Sun, et al. ∙

research

∙ 07/04/2021

Coarse-to-Careful: Seeking Semantic-related Knowledge for Open-domain Commonsense Question Answering

It is prevalent to utilize external knowledge to help machine answer que...

10 Luxi Xing, et al. ∙

research

∙ 03/08/2021

MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension

Question answering systems usually use keyword searches to retrieve pote...

9 Wei Peng, et al. ∙

research

∙ 03/08/2021

End-to-End Human Object Interaction Detection with HOI Transformer

We propose HOI Transformer to tackle human object interaction (HOI) dete...

0 Cheng Zou, et al. ∙

research

∙ 02/25/2021

IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation

This paper introduces our systems for all three subtasks of SemEval-2021...

11 Yuqiang Xie, et al. ∙

research

∙ 12/25/2020

Graph Convolutional Networks for traffic anomaly

Event detection has been an important task in transportation, whose task...

0 Yue Hu, et al. ∙

research

∙ 11/11/2020

Learning User Representations with Hypercuboids for Recommender Systems

Modeling user interests is crucial in real-world recommender systems. In...

0 Shuai Zhang, et al. ∙

research

∙ 10/20/2020

Bi-directional Cognitive Thinking Network for Machine Reading Comprehension

We propose a novel Bi-directional Cognitive Knowledge Framework (BCKF) f...

12 Wei Peng, et al. ∙

research

∙ 10/09/2020

Uncertainty-Aware Semantic Augmentation for Neural Machine Translation

As a sequence-to-sequence generation task, neural machine translation (N...

0 Xiangpeng Wei, et al. ∙

research

∙ 09/16/2020

CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation

Scene graphs are semantic abstraction of images that encourage visual un...

0 Jing Yu, et al. ∙

research

∙ 08/31/2020

Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering

Knowledge-based Visual Question Answering (KVQA) requires external knowl...

0 Jing Yu, et al. ∙

research

∙ 07/31/2020

On Learning Universal Representations Across Languages

Recent studies have demonstrated the overwhelming advantage of cross-lin...

0 Xiangpeng Wei, et al. ∙

research

∙ 07/07/2020

DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue

Visual Dialogue task requires an agent to be engaged in a conversation w...

0 Xiaoze Jiang, et al. ∙

research

∙ 07/02/2020

IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE

This paper introduces our systems for the first two subtasks of SemEval ...

0 Luxi Xing, et al. ∙

research

∙ 06/16/2020

Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering

Fact-based Visual Question Answering (FVQA) requires external knowledge ...

0 Zihao Zhu, et al. ∙

research

∙ 06/16/2020

Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based VisualQuestion Answering

Fact-based Visual Question Answering (FVQA) requires external knowledge ...

0 Zihao Zhu, et al. ∙

research

∙ 04/29/2020

Multiscale Collaborative Deep Models for Neural Machine Translation

Recent evidence reveals that Neural Machine Translation (NMT) models wit...

0 Xiangpeng Wei, et al. ∙

research

∙ 03/14/2020

Collaborative Motion Prediction via Neural Motion Message Passing

Motion prediction is essential and challenging for autonomous vehicles a...

7 Yue Hu, et al. ∙

research

∙ 11/27/2019

A Benchmarking of DCM Based Architectures for Position, Velocity and Torque Controlled Humanoid Robots

This paper contributes towards the benchmarking of control architectures...

0 Giulio Romualdi, et al. ∙

research

∙ 11/17/2019

DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue

Different from Visual Question Answering task that requires to answer on...

0 Xiaoze Jiang, et al. ∙

Yue Hu

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