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09/04/2023
A Survey for Graphic Design Intelligence
Graphic design is an effective language for visual communication. Using ...
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08/24/2023
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions
Creating layouts is a fundamental step in graphic design. In this work, ...
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05/16/2023
Semi-Supervised Object Detection for Sorghum Panicles in UAV Imagery
The sorghum panicle is an important trait related to grain yield and pla...
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03/21/2023
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models
Creating graphic layouts is a fundamental step in graphic designs. In th...
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01/23/2023
Illumination Variation Correction Using Image Synthesis For Unsupervised Domain Adaptive Person Re-Identification
Unsupervised domain adaptive (UDA) person re-identification (re-ID) aims...
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12/20/2022
Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation
The robustness of Text-to-SQL parsers against adversarial perturbations ...
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08/17/2022
UniLayout: Taming Unified Sequence-to-Sequence Transformers for Graphic Layout Generation
To satisfy various user needs, different subtasks of graphic layout gene...
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05/08/2022
High-Resolution UAV Image Generation for Sorghum Panicle Detection
The number of panicles (or heads) of Sorghum plants is an important phen...
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01/29/2022
ApolloRL: a Reinforcement Learning Platform for Autonomous Driving
We introduce ApolloRL, an open platform for research in reinforcement le...
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09/22/2021
Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing
Recent years pretrained language models (PLMs) hit a success on several ...
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08/15/2021
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Tables are often created with hierarchies, but existing works on table r...
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07/16/2021
TAPEX: Table Pre-training via Learning a Neural SQL Executor
Recent years pre-trained language models hit a success on modeling natur...
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02/03/2020
How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context
Recently semantic parsing in context has received a considerable attenti...
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05/20/2019
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
We present a neural approach called IRNet for complex and cross-domain T...
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04/29/2018
Distribution-Free, Size Adaptive Submatrix Detection with Acceleration
Given a large matrix containing independent data entries, we consider th...
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09/22/2016
