b'Fenglin Liu'

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...

0 Zhisheng Wang, et al. ∙

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...

0 Bang Yang, et al. ∙

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...

0 Bang Yang, et al. ∙

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...

0 Zhisheng Wang, et al. ∙

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...

0 Bang Yang, et al. ∙

research

∙ 02/03/2023

Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective

For medical image segmentation, contrastive learning is the dominant pra...

0 Chenyu You, et al. ∙

research

∙ 11/22/2022

Aligning Source Visual and Target Language Domains for Unpaired Video Captioning

Training supervised video captioning model requires coupled video-captio...

0 Fenglin Liu, et al. ∙

research

∙ 11/21/2022

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

Most video-and-language representation learning approaches employ contra...

0 Peng Jin, et al. ∙

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...

0 Fenglin Liu, et al. ∙

research

∙ 10/23/2022

Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions

The "Patient Instruction" (PI), which contains critical instructional in...

0 Fenglin Liu, et al. ∙

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...

5 Fenglin Liu, et al. ∙

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...

0 Chenyu You, et al. ∙

research

∙ 06/24/2022

Competence-based Multimodal Curriculum Learning for Medical Report Generation

Medical report generation task, which targets to produce long and cohere...

0 Fenglin Liu, et al. ∙

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...

0 Fenglin Liu, et al. ∙

research

∙ 01/26/2022

Class-Aware Generative Adversarial Transformers for Medical Image Segmentation

Transformers have made remarkable progress towards modeling long-range d...

0 Chenyu You, et al. ∙

research

∙ 11/08/2021

Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation

Medical report generation, which aims to automatically generate a long a...

17 Fenglin Liu, et al. ∙

research

∙ 08/05/2021

O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning

Video captioning combines video understanding and language generation. D...

6 Fenglin Liu, et al. ∙

research

∙ 07/04/2021

Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Model

While Machine Comprehension (MC) has attracted extensive research intere...

0 Zhiqi Huang, et al. ∙

research

∙ 06/20/2021

Exploring Semantic Relationships for Unpaired Image Captioning

Recently, image captioning has aroused great interest in both academic a...

0 Fenglin Liu, et al. ∙

research

∙ 06/13/2021

Contrastive Attention for Automatic Chest X-ray Report Generation

Recently, chest X-ray report generation, which aims to automatically gen...

16 Fenglin Liu, et al. ∙

research

∙ 06/13/2021

Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation

Automatically generating radiology reports can improve current clinical ...

0 Fenglin Liu, et al. ∙

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...

53 Fenglin Liu, et al. ∙

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...

0 Nuo Chen, et al. ∙

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...

0 Chenyu You, et al. ∙

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...

0 Peilin Zhou, et al. ∙

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...

0 Fenglin Liu, et al. ∙

research

∙ 02/28/2020

Exploring and Distilling Cross-Modal Information for Image Captioning

Recently, attention-based encoder-decoder models have been used extensiv...

0 Fenglin Liu, et al. ∙

research

∙ 11/27/2019

Non-Autoregressive Video Captioning with Iterative Refinement

Existing state-of-the-art autoregressive video captioning methods (ARVC)...

9 Bang Yang, et al. ∙

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...

0 Fenglin Liu, et al. ∙

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...

0 Weiwen Wu, et al. ∙

research

∙ 10/22/2018

Block Matching Frame based Material Reconstruction for Spectral CT

Spectral computed tomography (CT) has a great potential in material iden...

2 Weiwen Wu, et al. ∙

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...

0 Fenglin Liu, et al. ∙

research

∙ 07/24/2018

Non-local Low-rank Cube-based Tensor Factorization for Spectral CT Reconstruction

Spectral computed tomography (CT) reconstructs material-dependent attenu...

0 Weiwen Wu, et al. ∙

Fenglin Liu

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