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08/23/2023
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE
Building scalable vision-language models to learn from diverse, multimod...
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05/25/2023
ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst
Building general-purpose models that can perceive diverse real-world mod...
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05/19/2023
Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense Captioner
Large pre-trained multimodal models have demonstrated significant succes...
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04/17/2023
VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
In this paper, we propose a Vision-Audio-Language Omni-peRception pretra...
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10/09/2022
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning
Multimodal representation learning has shown promising improvements on v...
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07/01/2021
OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation
In this paper, we propose an Omni-perception Pre-Trainer (OPT) for cross...
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01/26/2021
CPTR: Full Transformer Network for Image Captioning
In this paper, we consider the image captioning task from a new sequence...
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01/24/2021
Fast Sequence Generation with Multi-Agent Reinforcement Learning
Autoregressive sequence Generation models have achieved state-of-the-art...
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12/16/2020
AutoCaption: Image Captioning with Neural Architecture Search
Image captioning transforms complex visual information into abstract nat...
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05/10/2020
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning
Most image captioning models are autoregressive, i.e. they generate each...
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03/19/2020
Normalized and Geometry-Aware Self-Attention Network for Image Captioning
Self-attention (SA) network has shown profound value in image captioning...
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10/17/2019
Multi-View Features and Hybrid Reward Strategies for Vatex Video Captioning Challenge 2019
This document describes our solution for the VATEX Captioning Challenge ...
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08/06/2019
