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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...
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09/07/2023
Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation
With strong representation capabilities, pretrained vision-language mode...
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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 ...
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07/19/2023
Deep unrolling Shrinkage Network for Dynamic MR imaging
Deep unrolling networks that utilize sparsity priors have achieved great...
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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 ...
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03/24/2023
Category Query Learning for Human-Object Interaction Classification
Unlike most previous HOI methods that focus on learning better human-obj...
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03/23/2023
Collaboration Helps Camera Overtake LiDAR in 3D Detection
Camera-only 3D detection provides an economical solution with a simple c...
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02/24/2023
Subspace based Federated Unlearning
Federated learning (FL) enables multiple clients to train a machine lear...
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11/08/2022
ConsPrompt: Easily Exploiting Contrastive Samples for Few-shot Prompt Learning
Prompt learning recently become an effective linguistic tool to motivate...
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11/01/2022
FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversation
Emotional Support Conversation (ESConv) aims to reduce help-seekers'emot...
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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 ...
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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...
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10/14/2022
Psychology-guided Controllable Story Generation
Controllable story generation is a challenging task in the field of NLP,...
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09/26/2022
Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps
Multi-agent collaborative perception could significantly upgrade the per...
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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...
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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...
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08/27/2022
Multi-level Contrastive Learning Framework for Sequential Recommendation
Sequential recommendation (SR) aims to predict the subsequent behaviors ...
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08/08/2022
Aerial Monocular 3D Object Detection
Drones equipped with cameras can significantly enhance human ability to ...
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07/18/2022
Latency-Aware Collaborative Perception
Collaborative perception has recently shown great potential to improve p...
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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...
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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 ...
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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...
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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...
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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...
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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...
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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...
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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...
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02/18/2022
CLSEG: Contrastive Learning of Story Ending Generation
Story Ending Generation (SEG) is a challenging task in natural language ...
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02/14/2022
Modeling Intention, Emotion and External World in Dialogue Systems
Intention, emotion and action are important elements in human activities...
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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...
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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 ...
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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...
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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...
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03/08/2021
End-to-End Human Object Interaction Detection with HOI Transformer
We propose HOI Transformer to tackle human object interaction (HOI) dete...
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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...
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12/25/2020
Graph Convolutional Networks for traffic anomaly
Event detection has been an important task in transportation, whose task...
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11/11/2020
Learning User Representations with Hypercuboids for Recommender Systems
Modeling user interests is crucial in real-world recommender systems. In...
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10/20/2020
Bi-directional Cognitive Thinking Network for Machine Reading Comprehension
We propose a novel Bi-directional Cognitive Knowledge Framework (BCKF) f...
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10/09/2020
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation
As a sequence-to-sequence generation task, neural machine translation (N...
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09/16/2020
CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation
Scene graphs are semantic abstraction of images that encourage visual un...
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08/31/2020
Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering
Knowledge-based Visual Question Answering (KVQA) requires external knowl...
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07/31/2020
On Learning Universal Representations Across Languages
Recent studies have demonstrated the overwhelming advantage of cross-lin...
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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...
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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 ...
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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 ...
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06/16/2020
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based VisualQuestion Answering
Fact-based Visual Question Answering (FVQA) requires external knowledge ...
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04/29/2020
Multiscale Collaborative Deep Models for Neural Machine Translation
Recent evidence reveals that Neural Machine Translation (NMT) models wit...
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03/14/2020
Collaborative Motion Prediction via Neural Motion Message Passing
Motion prediction is essential and challenging for autonomous vehicles a...
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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...
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11/17/2019
