Automatic understanding of image and video advertisements Z Hussain, M Zhang, X Zhang, K Ye, C Thomas, Z Agha, N Ong, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 205 | 2017 |
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection Y Fung, C Thomas, R Reddy, S Polisetty, H Ji, SF Chang, K McKeown, ... Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 80 | 2021 |
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval C Thomas, A Kovashka Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 43 | 2020 |
Opensalicon: An open source implementation of the salicon saliency model C Thomas arXiv preprint arXiv:1606.00110, 2016 | 41 | 2016 |
Seeing Behind the Camera: Identifying the Authorship of a Photograph C Thomas, A Kovashka Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016 | 34 | 2016 |
Joint Multimedia Event Extraction from Video and Article B Chen, X Lin, C Thomas, M Li, S Yoshida, L Chum, H Ji, SF Chang Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 32 | 2021 |
Predicting the politics of an image using webly supervised data C Thomas, A Kovashka Advances in Neural Information Processing Systems (NeurIPS 2019), 2019 | 28 | 2019 |
Samsung: Align-and-differentiate approach to semantic textual similarity L Han, J Martineau, D Cheng, C Thomas Proceedings of the 9th International Workshop on Semantic Evaluation …, 2015 | 28 | 2015 |
Enhanced chart understanding in vision and language task via cross-modal pre-training on plot table pairs M Zhou, YR Fung, L Chen, C Thomas, H Ji, SF Chang Findings of the Association for Computational Linguistics: ACL 2023, 1314--1326, 2023 | 27 | 2023 |
Artistic object recognition by unsupervised style adaptation C Thomas, A Kovashka Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 20 | 2019 |
Persuasive faces: generating faces in advertisements C Thomas, A Kovashka Proceedings of the British Machine Vision Conference, 2018 | 15 | 2018 |
Weakly-Supervised Temporal Article Grounding L Chen, Y Niu, B Chen, X Lin, G Han, C Thomas, H Ayyubi, H Ji, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 14 | 2022 |
Learning to overcome noise in weak caption supervision for object detection ME Unal, K Ye, M Zhang, C Thomas, A Kovashka, W Li, D Qin, J Berent IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4897-4914, 2022 | 10 | 2022 |
Community implications for gun violence prevention during co-occurring pandemics; a qualitative and computational analysis study DU Patton, N Aguilar, AY Landau, C Thomas, R Kagan, T Ren, ... Preventive medicine 165, 107263, 2022 | 9 | 2022 |
Emphasizing complementary samples for non-literal cross-modal retrieval C Thomas, A Kovashka Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 9 | 2022 |
TBI-Doc: Generating patient & clinician reports from brain imaging data P Jordan, N Green, C Thomas, S Holm Proceedings of the 8th International Natural Language Generation Conference …, 2014 | 7 | 2014 |
Fine-Grained Visual Entailment C Thomas, Y Zhang, SF Chang Proceedings of the European Conference on Computer Vision, 398–416, 2022 | 6 | 2022 |
Predicting visual political bias using webly supervised data and an auxiliary task C Thomas, A Kovashka International Journal of Computer Vision 129 (11), 2978-3003, 2021 | 6 | 2021 |
Application of Slow Intelligence Framework for Smart Pet Care System Design SK Chang, WH Chen, WC Lin, CL Thomas Software Engineering and Knowledge Engineering (SEKE 2015), 2015 | 3 | 2015 |
MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking TC Chen, CW Tang, C Thomas Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 2 | 2024 |