| Automatic Understanding of Image and Video Advertisements Z Hussain, M Zhang, X Zhang, K Ye, C Thomas, Z Agha, N Ong, ... 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1100 …, 2017 | 205 | 2017 |
| Vila: Learning image aesthetics from user comments with vision-language pretraining J Ke, K Ye, J Yu, Y Wu, P Milanfar, F Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 71 | 2023 |
| Cap2det: Learning to amplify weak caption supervision for object detection K Ye, M Zhang, A Kovashka, W Li, D Qin, J Berent Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 61 | 2019 |
| Advise: Symbolism and external knowledge for decoding advertisements K Ye, A Kovashka Proceedings of the European Conference on Computer Vision (ECCV), 837-855, 2018 | 61 | 2018 |
| Linguistic structures as weak supervision for visual scene graph generation K Ye, A Kovashka Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 54 | 2021 |
| A case study of the shortcut effects in visual commonsense reasoning K Ye, A Kovashka Proceedings of the AAAI conference on artificial intelligence 35 (4), 3181-3189, 2021 | 46 | 2021 |
| Interpreting the rhetoric of visual advertisements K Ye, NH Nazari, J Hahn, Z Hussain, M Zhang, A Kovashka IEEE transactions on pattern analysis and machine intelligence 43 (4), 1308-1323, 2019 | 36 | 2019 |
| Story Understanding in Video Advertisements K Ye, K Buettner, A Kovashka Proceedings of the 29th British Machine Vision Conference (BMVC 2018), 2018 | 12 | 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 | 10 | 2022 |
| Generating object embeddings from images GF Schroff, D Kalenichenko, K Ye US Patent 10,657,359, 2020 | 9 | 2020 |
| Breaking Shortcuts by Masking for Robust Visual Reasoning K Ye, M Zhang, A Kovashka Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 7 | 2021 |
| SpotPatch: Parameter-efficient transfer learning for mobile object detection K Ye, A Kovashka, M Sandler, M Zhu, A Howard, M Fornoni Proceedings of the Asian Conference on Computer Vision, 2020 | 7 | 2020 |
| Tip: Text-driven image processing with semantic and restoration instructions C Qi, Z Tu, K Ye, M Delbracio, P Milanfar, Q Chen, H Talebi arXiv preprint arXiv:2312.11595, 2023 | 6 | 2023 |
| Real-time illumination robust maneuvering target tracking based on color invariance G Meng, Z Jiang, D Zhao, K Ye 2009 2nd International Congress on Image and Signal Processing, 1-5, 2009 | 6 | 2009 |
| Story completion with explicit modeling of commonsense knowledge M Zhang, K Ye, R Hwa, A Kovashka Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 5 | 2020 |
| Learning to discover and localize visual objects with open vocabulary K Ye, M Zhang, W Li, D Qin, A Kovashka, J Berent arXiv preprint arXiv:1811.10080, 2018 | 5 | 2018 |
| Spire: Semantic prompt-driven image restoration C Qi, Z Tu, K Ye, M Delbracio, P Milanfar, Q Chen, H Talebi European Conference on Computer Vision, 446-464, 2024 | 3 | 2024 |
| ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling WY Zhu, K Ye, J Ke, J Yu, L Guibas, P Milanfar, F Yang European Conference on Computer Vision, 127-145, 2024 | 1 | 2024 |
| Weakly-Supervised Action Detection Guided by Audio Narration K Ye, A Kovashka Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 1 | 2022 |
| Multimodal Knowledge Integration for Object Detection and Visual Reasoning K Ye University of Pittsburgh, 2021 | | 2021 |
Adriana KovashkaAssociate Professor, University of PittsburghVerified email at cs.pitt.edu