research
∙
09/21/2023
OSNet MNetO: Two Types of General Reconstruction Architectures for Linear Computed Tomography in Multi-Scenarios
Recently, linear computed tomography (LCT) systems have actively attract...
share
research
∙
08/25/2023
MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning
Supervised visual captioning models typically require a large scale of i...
research
∙
07/05/2023
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels
Generating an informative and attractive title for the product is a cruc...
research
∙
05/30/2023
BPF Algorithms for Multiple Source-Translation Computed Tomography Reconstruction
Micro-computed tomography (micro-CT) is a widely used state-of-the-art i...
research
∙
03/11/2023
ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation
Natural Language Generation (NLG) accepts input data in the form of imag...
research
∙
02/03/2023
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
For medical image segmentation, contrastive learning is the dominant pra...
research
∙
11/22/2022
Aligning Source Visual and Target Language Domains for Unpaired Video Captioning
Training supervised video captioning model requires coupled video-captio...
research
∙
11/21/2022
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
Most video-and-language representation learning approaches employ contra...
research
∙
10/28/2022
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention
Vision-and-language (V-L) tasks require the system to understand both vi...
research
∙
10/23/2022
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions
The "Patient Instruction" (PI), which contains critical instructional in...
research
∙
10/19/2022
Prophet Attention: Predicting Attention with Future Attention for Improved Image Captioning
Recently, attention based models have been used extensively in many sequ...
research
∙
09/27/2022
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels
Recent studies on contrastive learning have achieved remarkable performa...
research
∙
06/24/2022
Competence-based Multimodal Curriculum Learning for Medical Report Generation
Medical report generation task, which targets to produce long and cohere...
research
∙
06/10/2022
Graph-in-Graph Network for Automatic Gene Ontology Description Generation
Gene Ontology (GO) is the primary gene function knowledge base that enab...
research
∙
01/26/2022
Class-Aware Generative Adversarial Transformers for Medical Image Segmentation
Transformers have made remarkable progress towards modeling long-range d...
research
∙
11/08/2021
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
Medical report generation, which aims to automatically generate a long a...
research
∙
08/05/2021
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning
Video captioning combines video understanding and language generation. D...
research
∙
07/04/2021
Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Model
While Machine Comprehension (MC) has attracted extensive research intere...
research
∙
06/20/2021
Exploring Semantic Relationships for Unpaired Image Captioning
Recently, image captioning has aroused great interest in both academic a...
research
∙
06/13/2021
Contrastive Attention for Automatic Chest X-ray Report Generation
Recently, chest X-ray report generation, which aims to automatically gen...
research
∙
06/13/2021
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
Automatically generating radiology reports can improve current clinical ...
research
∙
05/15/2021
Rethinking Skip Connection with Layer Normalization in Transformers and ResNets
Skip connection, is a widely-used technique to improve the performance a...
research
∙
12/20/2020
Adaptive Bi-directional Attention: Exploring Multi-Granularity Representations for Machine Reading Comprehension
Recently, the attention-enhanced multi-layer encoder, such as Transforme...
research
∙
10/18/2020
Towards Data Distillation for End-to-end Spoken Conversational Question Answering
In spoken question answering, QA systems are designed to answer question...
research
∙
09/28/2020
PIN: A Novel Parallel Interactive Network for Spoken Language Understanding
Spoken Language Understanding (SLU) is an essential part of the spoken d...
research
∙
05/16/2020
Layer-Wise Cross-View Decoding for Sequence-to-Sequence Learning
In sequence-to-sequence learning, the attention mechanism has been a gre...
research
∙
02/28/2020
Exploring and Distilling Cross-Modal Information for Image Captioning
Recently, attention-based encoder-decoder models have been used extensiv...
research
∙
11/27/2019
Non-Autoregressive Video Captioning with Iterative Refinement
Existing state-of-the-art autoregressive video captioning methods (ARVC)...
research
∙
05/15/2019
Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning
In image-grounded text generation, fine-grained representations of the i...
research
∙
05/06/2019
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT
The potential huge advantage of spectral computed tomography (CT) is its...
research
∙
10/22/2018
Block Matching Frame based Material Reconstruction for Spectral CT
Spectral computed tomography (CT) has a great potential in material iden...
research
∙
08/27/2018
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions
The encode-decoder framework has shown recent success in image captionin...
research
∙
07/24/2018
