Angel Chang

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Coauteurs

Manolis SavvaSimon Fraser UniversityAdresse e-mail validée de sfu.ca
Matthias NießnerProfessor of Computer Science, Technical University of MunichAdresse e-mail validée de tum.de
Thomas FunkhouserPrinceton University and GoogleAdresse e-mail validée de cs.princeton.edu
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityAdresse e-mail validée de stanford.edu
Shuran SongStanford UniversityAdresse e-mail validée de stanford.edu
Patrick HanrahanStanford UniversityAdresse e-mail validée de cs.stanford.edu
Hao SuUCSD CSEAdresse e-mail validée de ucsd.edu
Leonidas GuibasProfessor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Li YiTsinghua UniversityAdresse e-mail validée de mail.tsinghua.edu.cn
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityAdresse e-mail validée de stanford.edu
Andy ZengResearch Scientist, Google DeepMindAdresse e-mail validée de google.com
Fisher YuETH ZurichAdresse e-mail validée de ethz.ch
Angela DaiTechnical University of MunichAdresse e-mail validée de tum.de
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityAdresse e-mail validée de stanford.edu
Mihai SurdeanuAssociate Professor, Computer Science, University of ArizonaAdresse e-mail validée de email.arizona.edu
Vidya SetlurSenior Director of Research, Tableau SoftwareAdresse e-mail validée de tableausoftware.com
Maciej HalberPrinceton UniversityAdresse e-mail validée de cs.princeton.edu
Qixing HuangAssociate Professor of Computer Science, UT AustinAdresse e-mail validée de cs.utexas.edu
Valentin I. SpitkovskyStanford University and Google Inc.Adresse e-mail validée de cs.stanford.edu
Vladlen KoltunDistinguished Scientist, AppleAdresse e-mail validée de apple.com

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Angel Chang

Simon Fraser University

Adresse e-mail validée de cs.stanford.edu

Natural Language Processing AI


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	6279	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	4588	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	2107	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	1442	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	807	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	792	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	703	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	629	2013
Sutime: A library for recognizing and normalizing time expressions. AX Chang, CD Manning Lrec 12, 3735-3740, 2012	566	2012
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	529	2021
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	495	2020
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	382	2015
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	371	2021
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	354	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	296	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	287	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	279	2019
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	277	2012
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	268	2018
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	263	2019

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