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09/13/2023
Stepwise Model Reconstruction of Robotic Manipulator Based on Data-Driven Method
Research on dynamics of robotic manipulators provides promising support ...
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07/12/2023
Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation
Semi-supervised learning has become increasingly popular in medical imag...
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06/01/2023
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
During the diagnostic process, clinicians leverage multimodal informatio...
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05/26/2023
Attention Paper: How Generative AI Reshapes Digital Shadow Industry?
The rapid development of digital economy has led to the emergence of var...
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05/18/2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Achieving machine autonomy and human control often represent divergent o...
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03/23/2023
Fairness-guided Few-shot Prompting for Large Language Models
Large language models have demonstrated surprising ability to perform in...
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03/17/2023
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
Text-to-image (T2I) models based on diffusion processes have achieved re...
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03/16/2023
HIVE: Harnessing Human Feedback for Instructional Visual Editing
Incorporating human feedback has been shown to be crucial to align text ...
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03/13/2023
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset
Users in consumption domains, like music, are often able to more efficie...
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01/27/2023
Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models
Conversational recommendation systems (CRSs) enable users to use natural...
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10/20/2022
Vertical Federated Linear Contextual Bandits
In this paper, we investigate a novel problem of building contextual ban...
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04/27/2022
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework
Current contrastive learning frameworks focus on leveraging a single sup...
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03/04/2022
AutoMO-Mixer: An automated multi-objective Mixer model for balanced, safe and robust prediction in medicine
Accurately identifying patient's status through medical images plays an ...
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02/07/2022
DeepSSN: a deep convolutional neural network to assess spatial scene similarity
Spatial-query-by-sketch is an intuitive tool to explore human spatial kn...
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01/05/2022
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training
The difficulties in both data acquisition and annotation substantially r...
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04/21/2021
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation
Instance level detection and segmentation of thoracic diseases or abnorm...
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12/16/2020
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices
Universal lesion detection from computed tomography (CT) slices is impor...
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04/05/2020
Deep Homography Estimation for Dynamic Scenes
Homography estimation is an important step in many computer vision probl...
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12/13/2019
Multi-level Similarity Learning for Low-Shot Recognition
Low-shot learning indicates the ability to recognize unseen objects base...
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09/10/2019
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection
Universal lesion detection (ULD) on computed tomography (CT) images is a...
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04/08/2019
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering
In this paper, we propose a novel end-to-end trainable Video Question An...
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11/16/2016
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification
MeshFace photos have been widely used in many Chinese business organizat...
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05/21/2016