Chris Thomas
Chris Thomas
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Cited by
Cited by
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
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
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval
C Thomas, A Kovashka
Proceedings of the European Conference on Computer Vision (ECCV), 2020
Opensalicon: An open source implementation of the salicon saliency model
C Thomas
arXiv preprint arXiv:1606.00110, 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
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
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
Predicting the politics of an image using webly supervised data
C Thomas, A Kovashka
Advances in Neural Information Processing Systems (NeurIPS 2019), 2019
Artistic object recognition by unsupervised style adaptation
C Thomas, A Kovashka
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
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
Persuasive faces: generating faces in advertisements
C Thomas, A Kovashka
Proceedings of the British Machine Vision Conference, 2018
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
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
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
Fine-Grained Visual Entailment
C Thomas, Y Zhang, SF Chang
Proceedings of the European Conference on Computer Vision, 398–416, 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
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
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
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
Modeling Visual Rhetoric and Semantics in Multimedia
C Thomas
University of Pittsburgh, 2020
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