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08/29/2023
Evaluation and Analysis of Hallucination in Large Vision-Language Models
Large Vision-Language Models (LVLMs) have recently achieved remarkable s...
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08/07/2023
COPA: Efficient Vision-Language Pre-training Through Collaborative Object- and Patch-Text Alignment
Vision-Language Pre-training (VLP) methods based on object detection enj...
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07/17/2023
BUS:Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization
Vision Transformer (ViT) based Vision-Language Pre-training (VLP) models...
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07/04/2023
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Document understanding refers to automatically extract, analyze and comp...
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06/07/2023
Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks
To promote the development of Vision-Language Pre-training (VLP) and mul...
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05/03/2023
Transforming Visual Scene Graphs to Image Captions
We propose to Transform Scene Graphs (TSG) into more descriptive caption...
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04/27/2023
mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality
Large language models (LLMs) have demonstrated impressive zero-shot abil...
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04/16/2023
ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human
In this paper, we present ChatPLUG, a Chinese open-domain dialogue syste...
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02/01/2023
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
Recent years have witnessed a big convergence of language, vision, and m...
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01/05/2023
Learning Trajectory-Word Alignments for Video-Language Tasks
Aligning objects with words plays a critical role in Image-Language BERT...
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12/30/2022
HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training
Video-language pre-training has advanced the performance of various down...
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05/06/2022
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification
Aerial scene classification remains challenging as: 1) the size of key o...
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01/31/2022
AI-based Medical e-Diagnosis for Fast and Automatic Ventricular Volume Measurement in the Patients with Normal Pressure Hydrocephalus
Based on CT and MRI images acquired from normal pressure hydrocephalus (...
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01/27/2022
Exploring Global Diversity and Local Context for Video Summarization
Video summarization aims to automatically generate a diverse and concise...
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12/09/2021
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images
The world is currently experiencing an ongoing pandemic of an infectious...
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02/03/2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Explainable Artificial Intelligence (XAI) is an emerging research topic ...
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09/23/2020
Exploring global diverse attention via pairwise temporal relation for video summarization
Video summarization is an effective way to facilitate video searching an...
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11/28/2019
