Ge Li

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The University of Texas at Austin ∙ Peking University

Associate Professor, Institute of Software, Department of Computer Science, Peking University.

Multi-mapping Image-to-Image Translation via Learning Disentanglement

Recent advances of image-to-image translation focus on learning the one-...
09/17/2019 ∙ by Xiaoming Yu, et al. ∙ 23 ∙ share

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SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning

Image translation is a burgeoning field in computer vision where the goa...
10/11/2018 ∙ by Xiaoming Yu, et al. ∙ 12 ∙ share

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GID-Net: Detecting Human-Object Interaction with Global and Instance Dependency

Since detecting and recognizing individual human or object are not adequ...
03/11/2020 ∙ by Dongming Yang, et al. ∙ 6 ∙ share

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StructureFlow: Image Inpainting via Structure-aware Appearance Flow

Image inpainting techniques have shown significant improvements by using...
08/11/2019 ∙ by Yurui Ren, et al. ∙ 5 ∙ share

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C-RPNs: Promoting Object Detection in real world via a Cascade Structure of Region Proposal Networks

Recently, significant progresses have been made in object detection on c...
08/19/2019 ∙ by Dongming Yang, et al. ∙ 1 ∙ share

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A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement

Low-light images are not conducive to human observation and computer vis...
11/02/2017 ∙ by Zhenqiang Ying, et al. ∙ 0 ∙ share

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Robust Saliency Detection via Fusing Foreground and Background Priors

Automatic Salient object detection has received tremendous attention fro...
11/01/2017 ∙ by Kan Huang, et al. ∙ 0 ∙ share

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An Innovative Salient Object Detection Using Center-Dark Channel Prior

Saliency detection aims to detect the most attractive objects in images,...
10/10/2017 ∙ by Chunbiao Zhu, et al. ∙ 0 ∙ share

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ORGB: Offset Correction in RGB Color Space for Illumination-Robust Image Processing

Single materials have colors which form straight lines in RGB space. How...
08/03/2017 ∙ by Zhenqiang Ying, et al. ∙ 0 ∙ share

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Convolutional Neural Networks over Tree Structures for Programming Language Processing

Programming language processing (similar to natural language processing)...
09/18/2014 ∙ by Lili Mou, et al. ∙ 0 ∙ share

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Building Program Vector Representations for Deep Learning

Deep learning has made significant breakthroughs in various fields of ar...
09/11/2014 ∙ by Lili Mou, et al. ∙ 0 ∙ share

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A Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning

Existing action detection algorithms usually generate action proposals t...
06/22/2017 ∙ by Jingjia Huang, et al. ∙ 0 ∙ share

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Improved Knowledge Base Completion by Path-Augmented TransR Model

Knowledge base completion aims to infer new relations from existing info...
10/06/2016 ∙ by Wenhao Huang, et al. ∙ 0 ∙ share

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Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking

In this paper, we address the problem of searching action proposals in u...
08/23/2016 ∙ by Nannan Li, et al. ∙ 0 ∙ share

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Compressing Neural Language Models by Sparse Word Representations

Neural networks are among the state-of-the-art techniques for language m...
10/13/2016 ∙ by Yunchuan Chen, et al. ∙ 0 ∙ share

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Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation

Using neural networks to generate replies in human-computer dialogue sys...
07/04/2016 ∙ by Lili Mou, et al. ∙ 0 ∙ share

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How Transferable are Neural Networks in NLP Applications?

Transfer learning is aimed to make use of valuable knowledge in a source...
03/19/2016 ∙ by Lili Mou, et al. ∙ 0 ∙ share

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Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation

Nowadays, neural networks play an important role in the task of relation...
01/14/2016 ∙ by Yan Xu, et al. ∙ 0 ∙ share

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Natural Language Inference by Tree-Based Convolution and Heuristic Matching

In this paper, we propose the TBCNN-pair model to recognize entailment a...
12/28/2015 ∙ by Lili Mou, et al. ∙ 0 ∙ share

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Backward and Forward Language Modeling for Constrained Sentence Generation

Recent language models, especially those based on recurrent neural netwo...
12/21/2015 ∙ by Lili Mou, et al. ∙ 0 ∙ share

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A Comparative Study on Regularization Strategies for Embedding-based Neural Networks

This paper aims to compare different regularization strategies to addres...
08/15/2015 ∙ by Hao Peng, et al. ∙ 0 ∙ share

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Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path

Relation classification is an important research arena in the field of n...
08/15/2015 ∙ by Xu Yan, et al. ∙ 0 ∙ share

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Discriminative Neural Sentence Modeling by Tree-Based Convolution

This paper proposes a tree-based convolutional neural network (TBCNN) fo...
04/05/2015 ∙ by Lili Mou, et al. ∙ 0 ∙ share

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CodeSum: Translate Program Language to Natural Language

During software maintenance, programmers spend a lot of time on code com...
08/06/2017 ∙ by Xing Hu, et al. ∙ 0 ∙ share

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Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation

This paper addresses the question: Why do neural dialog systems generate...
12/06/2017 ∙ by Bolin Wei, et al. ∙ 0 ∙ share

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A multilayer backpropagation saliency detection algorithm and its applications

Saliency detection is an active topic in the multimedia field. Most prev...
03/26/2018 ∙ by Chunbiao Zhu, et al. ∙ 0 ∙ share

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Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection

Saliency detection aims to detect the most attractive objects in images ...
05/14/2018 ∙ by Chunbiao Zhu, et al. ∙ 0 ∙ share

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Multi-Mapping Image-to-Image Translation with Central Biasing Normalization

Recent image-to-image translation tasks attempt to extend the model from...
06/26/2018 ∙ by Xiaoming Yu, et al. ∙ 0 ∙ share

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Step-by-step Erasion, One-by-one Collection: A Weakly Supervised Temporal Action Detector

Weakly supervised temporal action detection is a Herculean task in under...
07/09/2018 ∙ by Jia-Xing Zhong, et al. ∙ 0 ∙ share

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Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform

3D sensing and content capture have made significant progress in recent ...
10/10/2017 ∙ by Yiting Shao, et al. ∙ 0 ∙ share

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Deep Learning in Software Engineering

Recent years, deep learning is increasingly prevalent in the field of So...
05/13/2018 ∙ by Xiaochen Li, et al. ∙ 0 ∙ share

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PDNet: Prior-model Guided Depth-enhanced Network for Salient Object Detection

Fully convolutional neural networks (FCNs) have shown outstanding perfor...
03/23/2018 ∙ by Chunbiao Zhu, et al. ∙ 0 ∙ share

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BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization

Despite tremendous progress achieved in temporal action detection, state...
11/06/2018 ∙ by Weijie Kong, et al. ∙ 0 ∙ share

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Mini-batch Serialization: CNN Training with Inter-layer Data Reuse

Training convolutional neural networks (CNNs) requires intense computati...
09/30/2018 ∙ by Sangkug Lym, et al. ∙ 0 ∙ share

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Hybrid Point Cloud Attribute Compression Using Slice-based Layered Structure and Block-based Intra Prediction

Point cloud compression is a key enabler for the emerging applications o...
04/28/2018 ∙ by Yiting Shao, et al. ∙ 0 ∙ share

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A Grammar-Based Structural CNN Decoder for Code Generation

Code generation maps a program description to executable source code in ...
11/14/2018 ∙ by Zeyu Sun, et al. ∙ 0 ∙ share

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Bi-Skip: A Motion Deblurring Network Using Self-paced Learning

A fast and effective motion deblurring method has great application valu...
02/24/2019 ∙ by Yiwei Zhang, et al. ∙ 0 ∙ share

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Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

Video anomaly detection under weak labels is formulated as a typical mul...
03/18/2019 ∙ by Jia-Xing Zhong, et al. ∙ 0 ∙ share

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ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network

In recent years, memory-augmented neural networks(MANNs) have shown prom...
06/28/2019 ∙ by Zhangheng Li, et al. ∙ 0 ∙ share

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A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning

Code completion, one of the most useful features in the integrated devel...
09/16/2019 ∙ by Fang Liu, et al. ∙ 0 ∙ share

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Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds

Point cloud is a fundamental 3D representation which is widely used in r...
04/18/2019 ∙ by Wei Yan, et al. ∙ 0 ∙ share

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C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network

Traditional video quality assessment (VQA) methods evaluate localized pi...
10/30/2019 ∙ by Munan Xu, et al. ∙ 0 ∙ share

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RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection

Generic object detection algorithms have proven their excellent performa...
11/08/2019 ∙ by Wei-Hong Lin, et al. ∙ 0 ∙ share

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Code Generation as a Dual Task of Code Summarization

Code summarization (CS) and code generation (CG) are two crucial tasks i...
10/14/2019 ∙ by Bolin Wei, et al. ∙ 0 ∙ share

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NLocalSAT: Boosting Local Search with Solution Prediction

The boolean satisfiability problem is a famous NP-complete problem in co...
01/26/2020 ∙ by Wenjie Zhang, et al. ∙ 0 ∙ share

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Deep Image Spatial Transformation for Person Image Generation

Pose-guided person image generation is to transform a source person imag...
03/02/2020 ∙ by Yurui Ren, et al. ∙ 0 ∙ share

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Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree

Code clones are semantically similar code fragments pairs that are synta...
02/20/2020 ∙ by Wenhan Wang, et al. ∙ 0 ∙ share

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Ge Li

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