| 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 | 3968 | 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 | 2455 | 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 | 1281 | 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 | 1084 | 2017 |
| 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 | 665 | 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 | 589 | 2013 |
| On evaluation of embodied navigation agents P Anderson, A Chang, DS Chaplot, A Dosovitskiy, S Gupta, V Koltun, ... arXiv preprint arXiv:1807.06757, 2018 | 512 | 2018 |
| Sutime: A library for recognizing and normalizing time expressions. AX Chang, CD Manning Lrec 3735, 3740, 2012 | 503 | 2012 |
| 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 | 446 | 2019 |
| 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 | 291 | 2015 |
| 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 | 258 | 2012 |
| 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 | 246 | 2017 |
| 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 | 234 | 2020 |
| A cross-lingual dictionary for english wikipedia concepts VI Spitkovsky, AX Chang | 232 | 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 | 204 | 2021 |
| 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 | 202 | 2016 |
| 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 | 179 | 2018 |
| 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 | 175 | 2019 |
| Learning spatial knowledge for text to 3D scene generation A Chang, M Savva, CD Manning Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 162 | 2014 |
| 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 | 128 | 2019 |
Manolis SavvaSimon Fraser UniversityVerified email at sfu.ca
