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05/09/2023
Large Language Models Need Holistically Thought in Medical Conversational QA
The medical conversational question answering (CQA) system aims at provi...
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05/05/2023
LOGO-Former: Local-Global Spatio-Temporal Transformer for Dynamic Facial Expression Recognition
Previous methods for dynamic facial expression recognition (DFER) in the...
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03/21/2023
Heterogeneous-Branch Collaborative Learning for Dialogue Generation
With the development of deep learning, advanced dialogue generation meth...
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03/02/2023
Image as Set of Points
What is an image and how to extract latent features? Convolutional Netwo...
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12/02/2022
Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables
Conditional variational models, using either continuous or discrete late...
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12/01/2022
Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder
Complex dialogue mappings (CDM), including one-to-many and many-to-one m...
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10/11/2022
Learning to Locate Visual Answer in Video Corpus Using Question
We introduce a new task, named video corpus visual answer localization (...
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07/26/2022
TransFiner: A Full-Scale Refinement Approach for Multiple Object Tracking
Multiple object tracking (MOT) is the task containing detection and asso...
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07/05/2022
Scene-Aware Prompt for Multi-modal Dialogue Understanding and Generation
This paper introduces the schemes of Team LingJing's experiments in NLPC...
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06/20/2022
Explicit and implicit models in infrared and visible image fusion
Infrared and visible images, as multi-modal image pairs, show significan...
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06/09/2022
Towards Layer-wise Image Vectorization
Image rasterization is a mature technique in computer graphics, while im...
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05/23/2022
Stop Filtering: Multi-View Attribute-Enhanced Dialogue Learning
There is a growing interest in improving the conversational ability of m...
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05/10/2022
Spatio-Temporal Transformer for Dynamic Facial Expression Recognition in the Wild
Previous methods for dynamic facial expression in the wild are mainly ba...
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05/05/2022
Diversifying Neural Dialogue Generation via Negative Distillation
Generative dialogue models suffer badly from the generic response proble...
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04/20/2022
LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
The medical conversational system can relieve the burden of doctors and ...
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03/23/2022
Prompt-based Pre-trained Model for Personality and Interpersonal Reactivity Prediction
This paper describes the LingJing team's method to the Workshop on Compu...
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03/16/2022
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolution
Convolutional neural network (CNN) has achieved great success on image s...
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03/13/2022
Towards Visual-Prompt Temporal Answering Grounding in Medical Instructional Video
The temporal answering grounding in the video (TAGV) is a new task natur...
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11/29/2021
SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation
Acronym disambiguation means finding the correct meaning of an ambiguous...
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11/29/2021
PSG: Prompt-based Sequence Generation for Acronym Extraction
Acronym extraction aims to find acronyms (i.e., short-forms) and their m...
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10/16/2021
Hybrid Mutimodal Fusion for Dimensional Emotion Recognition
In this paper, we extensively present our solutions for the MuSe-Stress ...
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10/12/2021
Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble
Sign language is commonly used by deaf or mute people to communicate but...
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09/07/2021
Grassmannian Graph-attentional Landmark Selection for Domain Adaptation
Domain adaptation aims to leverage information from the source domain to...
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08/03/2021
More but Correct: Generating Diversified and Entity-revised Medical Response
Medical Dialogue Generation (MDG) is intended to build a medical dialogu...
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06/15/2021
Bilateral Personalized Dialogue Generation with Dynamic Persona-Aware Fusion
Generating personalized responses is one of the major challenges in natu...
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06/07/2021
Generating Relevant and Coherent Dialogue Responses using Self-separated Conditional Variational AutoEncoders
Conditional Variational AutoEncoder (CVAE) effectively increases the div...
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05/28/2021
THINK: A Novel Conversation Model for Generating Grammatically Correct and Coherent Responses
Many existing conversation models that are based on the encoder-decoder ...
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05/25/2021
GAN for Vision, KG for Relation: a Two-stage Deep Network for Zero-shot Action Recognition
Zero-shot action recognition can recognize samples of unseen classes tha...
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05/24/2021
Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model
3D action recognition is referred to as the classification of action seq...
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03/31/2021
Robust Facial Expression Recognition with Convolutional Visual Transformers
Facial Expression Recognition (FER) in the wild is extremely challenging...
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03/16/2021
Skeleton Based Sign Language Recognition Using Whole-body Keypoints
Sign language is a visual language that is used by deaf or speech impair...
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10/05/2020
Regularizing Dialogue Generation by Imitating Implicit Scenarios
Human dialogues are scenario-based and appropriate responses generally r...
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08/08/2020
Recent Advances and New Guidelines on Hyperspectral and Multispectral Image Fusion
Hyperspectral image (HSI) with high spectral resolution often suffers fr...
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12/23/2019
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks
Segmentation of multiple organs-at-risk (OARs) is essential for radiatio...
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11/19/2019
FollowMeUp Sports: New Benchmark for 2D Human Keypoint Recognition
Human pose estimation has made significant advancement in recent years. ...
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10/25/2019
LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution
Deep learning has become popular in recent years primarily due to the po...
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10/25/2019
Real-time Memory Efficient Large-pose Face Alignment via Deep Evolutionary Network
There is an urgent need to apply face alignment in a memory-efficient an...
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04/20/2019
EV-Action: Electromyography-Vision Multi-Modal Action Dataset
Multi-modal human motion analysis is a critical and attractive research ...
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04/12/2019
