Search Results for author: Fei Xia

Found 61 papers, 20 papers with code

ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes

1 code implementation ECCV 2020 Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, Leonidas Guibas

Due to the scarcity and unsuitability of existent 3D-oriented linguistic resources for this task, we first develop two large-scale and complementary visio-linguistic datasets: i) extbf{ extit{Sr3D}}, which contains 83. 5K template-based utterances leveraging extit{spatial relations} with other fine-grained object classes to localize a referred object in a given scene, and ii) extbf{ extit{Nr3D}} which contains 41. 5K extit{natural, free-form}, utterances collected by deploying a 2-player object reference game in 3D scenes.

SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation

no code implementations29 Nov 2021 Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun

In this paper, we propose a Simple framework for Contrastive Learning of Acronym Disambiguation (SimCLAD) method to better understand the acronym meanings.

Contrastive Learning

PSG: Prompt-based Sequence Generation for Acronym Extraction

no code implementations29 Nov 2021 Bin Li, Fei Xia, Yixuan Weng, Xiusheng Huang, Bin Sun, Shutao Li

In this paper, we propose a Prompt-based Sequence Generation (PSG) method for the acronym extraction task.

Language Modelling

Extracting and Inferring Personal Attributes from Dialogue

1 code implementation26 Sep 2021 Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia

In this work, we introduce the tasks of extracting and inferring personal attributes from human-human dialogue.

Language Modelling

Auto-Split: A General Framework of Collaborative Edge-Cloud AI

1 code implementation30 Aug 2021 Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang

At the same time, large amounts of input data are collected at the edge of cloud.

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments

no code implementations6 Aug 2021 Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei

We introduce BEHAVIOR, a benchmark for embodied AI with 100 activities in simulation, spanning a range of everyday household chores such as cleaning, maintenance, and food preparation.

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

1 code implementation6 Aug 2021 Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, Silvio Savarese

We evaluate the new capabilities of iGibson 2. 0 to enable robot learning of novel tasks, in the hope of demonstrating the potential of this new simulator to support new research in embodied AI.

Imitation Learning

A Masked Segmental Language Model for Unsupervised Natural Language Segmentation

1 code implementation16 Apr 2021 C. M. Downey, Fei Xia, Gina-Anne Levow, Shane Steinert-Threlkeld

Segmentation remains an important preprocessing step both in languages where "words" or other important syntactic/semantic units (like morphemes) are not clearly delineated by white space, as well as when dealing with continuous speech data, where there is often no meaningful pause between words.

Language Modelling

QoS-Aware Power Minimization of Distributed Many-Core Servers using Transfer Q-Learning

no code implementations2 Feb 2021 Dainius Jenkus, Fei Xia, Rishad Shafik, Alex Yakovlev

Then, it is coupled with vertical scaling using transfer Q-learning, which further tunes power/performance based on workload profile using dynamic voltage/frequency scaling (DVFS).

Q-Learning

Active Visual Localization in Partially Calibrated Environments

no code implementations8 Dec 2020 Yingda Yin, Qingnan Fan, Fei Xia, Qihang Fang, Siyan Dong, Leonidas Guibas, Baoquan Chen

Our core contribution is to formulate the active visual localization problem as a Partially Observable Markov Decision Process and propose an algorithmic framework based on Deep Reinforcement Learning to solve it.

Visual Localization

Joint Chinese Word Segmentation and Part-of-speech Tagging via Multi-channel Attention of Character N-grams

1 code implementation COLING 2020 Yuanhe Tian, Yan Song, Fei Xia

However, their work on modeling such contextual features is limited to concatenating the features or their embeddings directly with the input embeddings without distinguishing whether the contextual features are important for the joint task in the specific context.

Chinese Word Segmentation Part-Of-Speech Tagging +1

Summarizing Medical Conversations via Identifying Important Utterances

1 code implementation COLING 2020 Yan Song, Yuanhe Tian, Nan Wang, Fei Xia

For the particular dataset used in this study, we show that high-quality summaries can be generated by extracting two types of utterances, namely, problem statements and treatment recommendations.

NLPStatTest: A Toolkit for Comparing NLP System Performance

1 code implementation Asian Chapter of the Association for Computational Linguistics 2020 Haotian Zhu, Denise Mak, Jesse Gioannini, Fei Xia

The toolkit provides a convenient and systematic way to compare NLP system performance that goes beyond statistical significance testing

Improving Constituency Parsing with Span Attention

1 code implementation Findings of the Association for Computational Linguistics 2020 Yuanhe Tian, Yan Song, Fei Xia, Tong Zhang

Constituency parsing is a fundamental and important task for natural language understanding, where a good representation of contextual information can help this task.

Constituency Parsing Natural Language Understanding

Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks

1 code implementation EMNLP 2020 Yuanhe Tian, Yan Song, Fei Xia

Specifically, we build the graph from chunks (n-grams) extracted from a lexicon and apply attention over the graph, so that different word pairs from the contexts within and across chunks are weighted in the model and facilitate the supertagging accordingly.

CCG Supertagging

ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation

no code implementations18 Aug 2020 Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese

To validate our method, we apply ReLMoGen to two types of tasks: 1) Interactive Navigation tasks, navigation problems where interactions with the environment are required to reach the destination, and 2) Mobile Manipulation tasks, manipulation tasks that require moving the robot base.

Continuous Control Hierarchical Reinforcement Learning

Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge

1 code implementation ACL 2020 Yuanhe Tian, Yan Song, Xiang Ao, Fei Xia, Xiaojun Quan, Tong Zhang, Yonggang Wang

Chinese word segmentation (CWS) and part-of-speech (POS) tagging are important fundamental tasks for Chinese language processing, where joint learning of them is an effective one-step solution for both tasks.

Chinese Word Segmentation Part-Of-Speech Tagging +1

Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environments

1 code implementation30 Oct 2019 Fei Xia, William B. Shen, Chengshu Li, Priya Kasimbeg, Micael Tchapmi, Alexander Toshev, Li Fei-Fei, Roberto Martín-Martín, Silvio Savarese

We present Interactive Gibson Benchmark, the first comprehensive benchmark for training and evaluating Interactive Navigation: robot navigation strategies where physical interaction with objects is allowed and even encouraged to accomplish a task.

Robot Navigation

HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators

1 code implementation24 Oct 2019 Chengshu Li, Fei Xia, Roberto Martin-Martin, Silvio Savarese

Different from other HRL solutions, HRL4IN handles the heterogeneous nature of the Interactive Navigation task by creating subgoals in different spaces in different phases of the task.

Hierarchical Reinforcement Learning

Neural Network Design for Energy-Autonomous AI Applications using Temporal Encoding

no code implementations15 Oct 2019 Sergey Mileiko, Thanasin Bunnam, Fei Xia, Rishad Shafik, Alex Yakovlev, Shidhartha Das

We design a PWM-based perceptron which can serve as the fundamental building block for NNs, by using an entirely new method of realising arithmetic in the PWM domain.

WTMED at MEDIQA 2019: A Hybrid Approach to Biomedical Natural Language Inference

1 code implementation WS 2019 Zhaofeng Wu, Yan Song, Sicong Huang, Yuanhe Tian, Fei Xia

Natural language inference (NLI) is challenging, especially when it is applied to technical domains such as biomedical settings.

Natural Language Inference

ChiMed: A Chinese Medical Corpus for Question Answering

1 code implementation WS 2019 Yuanhe Tian, Weicheng Ma, Fei Xia, Yan Song

Question answering (QA) is a challenging task in natural language processing (NLP), especially when it is applied to specific domains.

Question Answering

PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking

1 code implementation22 May 2019 Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox

In this work, we formulate the 6D object pose tracking problem in the Rao-Blackwellized particle filtering framework, where the 3D rotation and the 3D translation of an object are decoupled.

6D Pose Estimation 6D Pose Estimation using RGB +2

Composite Shape Modeling via Latent Space Factorization

no code implementations ICCV 2019 Anastasia Dubrovina, Fei Xia, Panos Achlioptas, Mira Shalah, Raphael Groscot, Leonidas Guibas

We present a novel neural network architecture, termed Decomposer-Composer, for semantic structure-aware 3D shape modeling.

3D Shape Modeling

Gibson Env: Real-World Perception for Embodied Agents

5 code implementations CVPR 2018 Fei Xia, Amir Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, Silvio Savarese

Developing visual perception models for active agents and sensorimotor control are cumbersome to be done in the physical world, as existing algorithms are too slow to efficiently learn in real-time and robots are fragile and costly.

Domain Adaptation General Reinforcement Learning +1

VUNet: Dynamic Scene View Synthesis for Traversability Estimation using an RGB Camera

no code implementations22 Jun 2018 Noriaki Hirose, Amir Sadeghian, Fei Xia, Roberto Martin-Martin, Silvio Savarese

We present VUNet, a novel view(VU) synthesis method for mobile robots in dynamic environments, and its application to the estimation of future traversability.

Autonomous Vehicles

NeuralFDR: Learning Discovery Thresholds from Hypothesis Features

1 code implementation NeurIPS 2017 Fei Xia, Martin J. Zhang, James Zou, David Tse

For example, in genetic association studies, each hypothesis tests the correlation between a variant and the trait.

Learning Word Representations with Regularization from Prior Knowledge

no code implementations CONLL 2017 Yan Song, Chia-Jung Lee, Fei Xia

This paper presents a unified framework that leverages pre-learned or external priors, in the form of a regularizer, for enhancing conventional language model-based embedding learning.

Language Modelling Learning Word Embeddings +2

Capturing divergence in dependency trees to improve syntactic projection

no code implementations14 May 2016 Ryan Georgi, Fei Xia, William D. Lewis

These patterns can then be used to improve structural projection algorithms, allowing for better performing NLP tools for resource-poor languages, in particular those that may not have large amounts of annotated data necessary for traditional, fully-supervised methods.

Word Alignment

Annotating and Detecting Medical Events in Clinical Notes

no code implementations LREC 2016 Prescott Klassen, Fei Xia, Meliha Yetisgen

Early detection and treatment of diseases that onset after a patient is admitted to a hospital, such as pneumonia, is critical to improving and reducing costs in healthcare.

Annotating Clinical Events in Text Snippets for Phenotype Detection

no code implementations LREC 2014 Prescott Klassen, Fei Xia, V, Lucy erwende, Meliha Yetisgen

Early detection and treatment of diseases that onset after a patient is admitted to a hospital, such as pneumonia, is critical to improving and reducing costs in healthcare.

Pneumonia Detection

Enriching ODIN

no code implementations LREC 2014 Fei Xia, William Lewis, Michael Wayne Goodman, Joshua Crowgey, Emily M. Bender

In this paper, we describe the expansion of the ODIN resource, a database containing many thousands of instances of Interlinear Glossed Text (IGT) for over a thousand languages harvested from scholarly linguistic papers posted to the Web.

Statistical Section Segmentation in Free-Text Clinical Records

no code implementations LREC 2012 Michael Tepper, Daniel Capurro, Fei Xia, V, Lucy erwende, Meliha Yetisgen-Yildiz

Automatically segmenting and classifying clinical free text into sections is an important first step to automatic information retrieval, information extraction and data mining tasks, as it helps to ground the significance of the text within.

General Classification Information Retrieval +2

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