| Xnor-net: Imagenet classification using binary convolutional neural networks M Rastegari, V Ordonez, J Redmon, A Farhadi European conference on computer vision, 525-542, 2016 | 5829 | 2016 |
| Babytalk: Understanding and generating simple image descriptions G Kulkarni, V Premraj, V Ordonez, S Dhar, S Li, Y Choi, AC Berg, TL Berg IEEE transactions on pattern analysis and machine intelligence 35 (12), 2891 …, 2013 | 1677 | 2013 |
| Im2text: Describing images using 1 million captioned photographs V Ordonez, G Kulkarni, TL Berg NIPS. Advances in Neural Information Processing Systems, 1143-1151, 2011 | 1619 | 2011 |
| ReferItGame: Referring to Objects in Photographs of Natural Scenes S Kazemzadeh, V Ordonez, M Matten, TL Berg Empirical Methods in Natural Language Processing (EMNLP), 2014 | 1333 | 2014 |
| Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang Empirical Methods in Natural Language Processing (EMNLP), 2017 | 1202 | 2017 |
| Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang North American Chapter of the Association for Computational Linguistics (NAACL), 2018 | 1037 | 2018 |
| High level describable attributes for predicting aesthetics and interestingness S Dhar, V Ordonez, TL Berg CVPR 2011, 1657-1664, 2011 | 640 | 2011 |
| Balanced datasets are not enough: Estimating and mitigating gender bias in deep image representations T Wang, J Zhao, M Yatskar, KW Chang, V Ordonez Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 515 | 2019 |
| Gender Bias in Contextualized Word Embeddings J Zhao, T Wang, M Yatskar, R Cotterell, V Ordonez, KW Chang North-American Chapter of the Association for Computational Linguistics (NAACL), 2019 | 467 | 2019 |
| Collective generation of natural image descriptions P Kuznetsova, V Ordonez, AC Berg, TL Berg, Y Choi Association for Computational Linguistics (ACL), 2012 | 464 | 2012 |
| General multi-label image classification with transformers J Lanchantin, T Wang, V Ordonez, Y Qi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 342 | 2021 |
| Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning P Cascante-Bonilla, F Tan, Y Qi, V Ordonez The 35th AAAI Conference on Artificial Intelligence, 2021 | 341 | 2021 |
| TreeTalk: Composition and Compression of Trees for Image Descriptions P Kuznetsova, V Ordonez, T Berg, Y Choi Transactions of the Association for Computational Linguistics 2 (10), 351-362, 2014 | 305 | 2014 |
| Generative-discriminative feature representations for open-set recognition P Perera, VI Morariu, R Jain, V Manjunatha, C Wigington, V Ordonez, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 214 | 2020 |
| Learning High-level Judgments of Urban Perception V Ordonez, TL Berg European Conference on Computer Vision (ECCV), 2014 | 177 | 2014 |
| From large scale image categorization to entry-level categories V Ordonez, J Deng, Y Choi, AC Berg, TL Berg Proceedings of the ieee international conference on computer vision, 2768-2775, 2013 | 135 | 2013 |
| Black-box explanation of object detectors via saliency maps V Petsiuk, R Jain, V Manjunatha, VI Morariu, A Mehra, V Ordonez, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 134 | 2021 |
| Visual News: Benchmark and Challenges in News Image Captioning F Liu, Y Wang, T Wang, V Ordonez Empirical Methods in Natural Language Processing (EMNLP) 2021, 2021 | 130* | 2021 |
| Text2scene: Generating compositional scenes from textual descriptions F Tan, S Feng, V Ordonez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 105 | 2019 |
| Generalizing Image Captions for Image-Text Parallel Corpus. P Kuznetsova, V Ordonez, AC Berg, TL Berg, Y Choi ACL (2) Association for Computational Linguistics, 790-796, 2013 | 103 | 2013 |
Tamara L BergAssociate Professor, Computer Science, UNC Chapel Hill在 cs.unc.edu 的电子邮件经过验证
