Jiayuan Mao | DeepAI

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∙ 03/09/2023

PDSketch: Integrated Planning Domain Programming and Learning

This paper studies a model learning and online planning approach towards...

0 Jiayuan Mao, et al. ∙

∙ 03/09/2023

On the Expressiveness and Generalization of Hypergraph Neural Networks

This extended abstract describes a framework for analyzing the expressiv...

0 Zhezheng Luo, et al. ∙

∙ 03/30/2022

FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations

We present a meta-learning framework for learning new visual concepts qu...

12 Lingjie Mei, et al. ∙

∙ 02/17/2022

Grammar-Based Grounded Lexicon Learning

We present Grammar-Based Grounded Lexicon Learning (G2L2), a lexicalist ...

0 Jiayuan Mao, et al. ∙

∙ 06/10/2021

Temporal and Object Quantification Networks

We present Temporal and Object Quantification Networks (TOQ-Nets), a new...

3 Jiayuan Mao, et al. ∙

∙ 04/22/2021

Hierarchical Motion Understanding via Motion Programs

Current approaches to video analysis of human motion focus on raw pixels...

6 Sumith Kulal, et al. ∙

∙ 03/30/2021

Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning

We study the problem of dynamic visual reasoning on raw videos. This is ...

5 Zhenfang Chen, et al. ∙

∙ 12/31/2020

Language-Mediated, Object-Centric Representation Learning

We present Language-mediated, Object-centric Representation Learning (LO...

12 Ruocheng Wang, et al. ∙

∙ 12/21/2020

Object-Centric Diagnosis of Visual Reasoning

When answering questions about an image, it not only needs knowing what ...

1 Jianwei Yang, et al. ∙

∙ 11/19/2020

Multi-Plane Program Induction with 3D Box Priors

We consider two important aspects in understanding and editing images: m...

0 Yikai Li, et al. ∙

∙ 06/25/2020

Perspective Plane Program Induction from a Single Image

We study the inverse graphics problem of inferring a holistic representa...

8 Yikai Li, et al. ∙

∙ 02/04/2020

Visual Concept-Metaconcept Learning

Humans reason with concepts and metaconcepts: we recognize red and green...

1 Chi Han, et al. ∙

∙ 09/04/2019

Program-Guided Image Manipulators

Humans are capable of building holistic representations for images at va...

4 Jiayuan Mao, et al. ∙

∙ 06/17/2019

Neurally-Guided Structure Inference

Most structure inference methods either rely on exhaustive search or are...

2 Sidi Lu, et al. ∙

∙ 06/07/2019

Visually Grounded Neural Syntax Acquisition

We present the Visually Grounded Neural Syntax Learner (VG-NSL), an appr...

2 Haoyue Shi, et al. ∙

∙ 04/26/2019

Neural Logic Machines

We propose the Neural Logic Machine (NLM), a neural-symbolic architectur...

0 Honghua Dong, et al. ∙

∙ 04/26/2019

The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

We propose the Neuro-Symbolic Concept Learner (NS-CL), a model that lear...

12 Jiayuan Mao, et al. ∙

∙ 04/11/2019

Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations

We propose the Unified Visual-Semantic Embeddings (Unified VSE) for lear...

18 Hao Wu, et al. ∙

∙ 04/11/2019

UniVSE: Robust Visual Semantic Embeddings via Structured Semantic Representations

We propose Unified Visual-Semantic Embeddings (UniVSE) for learning a jo...

0 Hao Wu, et al. ∙

∙ 11/06/2018

Neural Phrase-to-Phrase Machine Translation

In this paper, we propose Neural Phrase-to-Phrase Machine Translation (N...

0 Jiangtao Feng, et al. ∙

∙ 07/30/2018

Acquisition of Localization Confidence for Accurate Object Detection

Modern CNN-based object detectors rely on bounding box regression and no...

0 Borui Jiang, et al. ∙

∙ 06/27/2018

Learning Visually-Grounded Semantics from Contrastive Adversarial Samples

We study the problem of grounding distributional representations of text...

0 Haoyue Shi, et al. ∙

∙ 05/08/2017

What Can Help Pedestrian Detection?

Aggregating extra features has been considered as an effective approach ...

0 Jiayuan Mao, et al. ∙

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