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06/29/2023
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
Instruction tuning unlocks the superior capability of Large Language Mod...
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11/27/2022
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding
Document images are a ubiquitous source of data where the text is organi...
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11/24/2022
Delving into Out-of-Distribution Detection with Vision-Language Representations
Recognizing out-of-distribution (OOD) samples is critical for machine le...
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11/01/2022
User-Entity Differential Privacy in Learning Natural Language Models
In this paper, we introduce a novel concept of user-entity differential ...
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11/27/2021
LAFITE: Towards Language-Free Training for Text-to-Image Generation
One of the major challenges in training text-to-image generation models ...
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03/11/2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models
Recent studies indicate that NLU models are prone to rely on shortcut fe...
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10/03/2020
Unsupervised Cross-lingual Image Captioning
Most recent image captioning works are conducted in English as the major...
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09/30/2020
Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning
Change Captioning is a task that aims to describe the difference between...
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11/06/2019
Resilient Load Restoration in Microgrids Considering Mobile Energy Storage Fleets: A Deep Reinforcement Learning Approach
Mobile energy storage systems (MESSs) provide mobility and flexibility t...
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04/01/2019
Scene Graph Generation with External Knowledge and Image Reconstruction
Scene graph generation has received growing attention with the advanceme...
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03/26/2019
Unpaired Image Captioning via Scene Graph Alignments
Deep neural networks have achieved great success on the image captioning...
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07/08/2018
Video Captioning with Boundary-aware Hierarchical Language Decoding and Joint Video Prediction
The explosion of video data on the internet requires effective and effic...
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03/14/2018
Unpaired Image Captioning by Language Pivoting
Image captioning is a multimodal task involving computer vision and natu...
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11/17/2017
Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models
Textual-visual cross-modal retrieval has been a hot research topic in bo...
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09/11/2017
Stack-Captioning: Coarse-to-Fine Learning for Image Captioning
The existing image captioning approaches typically train a one-stage sen...
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12/21/2016
An Empirical Study of Language CNN for Image Captioning
Language Models based on recurrent neural networks have dominated recent...
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12/22/2015
