Angel Chang

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Manolis SavvaSimon Fraser UniversityDirección de correo verificada de sfu.ca
Matthias NießnerProfessor of Computer Science, Technical University of MunichDirección de correo verificada de tum.de
Thomas FunkhouserPrinceton University and GoogleDirección de correo verificada de cs.princeton.edu
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityDirección de correo verificada de stanford.edu
Shuran SongStanford UniversityDirección de correo verificada de stanford.edu
Patrick HanrahanStanford UniversityDirección de correo verificada de cs.stanford.edu
Hao SuUCSD CSEDirección de correo verificada de ucsd.edu
Leonidas GuibasProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Li YiTsinghua UniversityDirección de correo verificada de mail.tsinghua.edu.cn
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityDirección de correo verificada de stanford.edu
Andy ZengResearch Scientist, Google DeepMindDirección de correo verificada de google.com
Fisher YuETH ZurichDirección de correo verificada de ethz.ch
Angela DaiTechnical University of MunichDirección de correo verificada de tum.de
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityDirección de correo verificada de stanford.edu
Mihai SurdeanuProfessor, Computer Science, University of ArizonaDirección de correo verificada de email.arizona.edu
Vidya SetlurSenior Director of Research, Tableau SoftwareDirección de correo verificada de tableausoftware.com
Maciej HalberPrinceton UniversityDirección de correo verificada de cs.princeton.edu
Qixing HuangAssociate Professor of Computer Science, UT AustinDirección de correo verificada de cs.utexas.edu
Valentin I. SpitkovskyStanford University and Google Inc.Dirección de correo verificada de cs.stanford.edu
Daniel RitchieBrown UniversityDirección de correo verificada de brown.edu

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Angel Chang

Simon Fraser University

Dirección de correo verificada de cs.stanford.edu

Natural Language Processing AI


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Shapenet: An information-rich 3d model repository AX Chang, T Funkhouser, L Guibas, P Hanrahan, Q Huang, Z Li, ... arXiv preprint arXiv:1512.03012, 2015	6458	2015
Scannet: Richly-annotated 3d reconstructions of indoor scenes A Dai, AX Chang, M Savva, M Halber, T Funkhouser, M Nießner Proceedings of the IEEE conference on computer vision and pattern …, 2017	4737	2017
Matterport3d: Learning from rgb-d data in indoor environments A Chang, A Dai, T Funkhouser, M Halber, M Niessner, M Savva, S Song, ... arXiv preprint arXiv:1709.06158, 2017	2180	2017
Semantic scene completion from a single depth image S Song, F Yu, A Zeng, AX Chang, M Savva, T Funkhouser Proceedings of the IEEE conference on computer vision and pattern …, 2017	1465	2017
On evaluation of embodied navigation agents P Anderson, A Chang, DS Chaplot, A Dosovitskiy, S Gupta, V Koltun, ... arXiv preprint arXiv:1807.06757, 2018	830	2018
Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding K Mo, S Zhu, AX Chang, L Yi, S Tripathi, LJ Guibas, H Su Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	816	2019
Stanford’s multi-pass sieve coreference resolution system at the conll-2011 shared task H Lee, Y Peirsman, A Chang, N Chambers, M Surdeanu, D Jurafsky Proceedings of the fifteenth conference on computational natural language …, 2011	699	2011
Deterministic coreference resolution based on entity-centric, precision-ranked rules H Lee, A Chang, Y Peirsman, N Chambers, M Surdeanu, D Jurafsky Computational linguistics 39 (4), 885-916, 2013	621	2013
Habitat 2.0: Training home assistants to rearrange their habitat A Szot, A Clegg, E Undersander, E Wijmans, Y Zhao, J Turner, N Maestre, ... Advances in neural information processing systems 34, 251-266, 2021	564	2021
Sutime: A library for recognizing and normalizing time expressions. AX Chang, CD Manning Lrec 12, 3735-3740, 2012	563	2012
Sapien: A simulated part-based interactive environment F Xiang, Y Qin, K Mo, Y Xia, H Zhu, F Liu, M Liu, H Jiang, Y Yuan, H Wang, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	521	2020
Habitat-matterport 3d dataset (hm3d): 1000 large-scale 3d environments for embodied ai SK Ramakrishnan, A Gokaslan, E Wijmans, O Maksymets, A Clegg, ... arXiv preprint arXiv:2109.08238, 2021	407	2021
Generating semantically precise scene graphs from textual descriptions for improved image retrieval S Schuster, R Krishna, A Chang, L Fei-Fei, CD Manning Proceedings of the fourth workshop on vision and language, 70-80, 2015	389	2015
Scanrefer: 3d object localization in rgb-d scans using natural language DZ Chen, AX Chang, M Nießner European conference on computer vision, 202-221, 2020	369	2020
Eviza: A natural language interface for visual analysis V Setlur, SE Battersby, M Tory, R Gossweiler, AX Chang Proceedings of the 29th annual symposium on user interface software and …, 2016	302	2016
MINOS: Multimodal indoor simulator for navigation in complex environments M Savva, AX Chang, A Dosovitskiy, T Funkhouser, V Koltun arXiv preprint arXiv:1712.03931, 2017	296	2017
Scan2cad: Learning cad model alignment in rgb-d scans A Avetisyan, M Dahnert, A Dai, M Savva, AX Chang, M Nießner Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2019	283	2019
Deep convolutional priors for indoor scene synthesis K Wang, M Savva, AX Chang, D Ritchie ACM Transactions on Graphics (TOG) 37 (4), 1-14, 2018	278	2018
Joint entity and event coreference resolution across documents H Lee, M Recasens, A Chang, M Surdeanu, D Jurafsky Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012	278	2012
Text2shape: Generating shapes from natural language by learning joint embeddings K Chen, CB Choy, M Savva, AX Chang, T Funkhouser, S Savarese Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019	266	2019

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