| Dvqa: Understanding data visualizations via question answering K Kafle, B Price, S Cohen, C Kanan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 386 | 2018 |
| Remind your neural network to prevent catastrophic forgetting TL Hayes, K Kafle, R Shrestha, M Acharya, C Kanan European conference on computer vision, 466-483, 2020 | 365 | 2020 |
| Visual question answering: Datasets, algorithms, and future challenges K Kafle, C Kanan Computer Vision and Image Understanding 163, 3-20, 2017 | 296 | 2017 |
| An analysis of visual question answering algorithms K Kafle, C Kanan Proceedings of the IEEE international conference on computer vision, 1965-1973, 2017 | 289 | 2017 |
| On the value of out-of-distribution testing: An example of goodhart's law D Teney, E Abbasnejad, K Kafle, R Shrestha, C Kanan, ... Advances in neural information processing systems 33, 407-417, 2020 | 169 | 2020 |
| Answer-type prediction for visual question answering K Kafle, C Kanan Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 165 | 2016 |
| Data augmentation for visual question answering K Kafle, M Yousefhussien, C Kanan Proceedings of the 10th International Conference on Natural Language …, 2017 | 150 | 2017 |
| Learning to predict visual attributes in the wild K Pham, K Kafle, Z Lin, Z Ding, S Cohen, Q Tran, A Shrivastava Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 116 | 2021 |
| TallyQA: Answering complex counting questions M Acharya, K Kafle, C Kanan Proceedings of the AAAI conference on artificial intelligence 33 (01), 8076-8084, 2019 | 112 | 2019 |
| Answer them all! toward universal visual question answering models R Shrestha, K Kafle, C Kanan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 105 | 2019 |
| Answering questions about data visualizations using efficient bimodal fusion K Kafle, R Shrestha, S Cohen, B Price, C Kanan Proceedings of the IEEE/CVF Winter conference on applications of computer …, 2020 | 69 | 2020 |
| A negative case analysis of visual grounding methods for vqa R Shrestha, K Kafle, C Kanan Proceedings of the 58th annual meeting of the association for computational …, 2020 | 64 | 2020 |
| Challenges and prospects in vision and language research K Kafle, R Shrestha, C Kanan Frontiers in Artificial Intelligence 2, 28, 2019 | 49 | 2019 |
| An investigation of critical issues in bias mitigation techniques R Shrestha, K Kafle, C Kanan Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 40 | 2022 |
| Improving visual grounding by encouraging consistent gradient-based explanations Z Yang, K Kafle, F Dernoncourt, V Ordonez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27 | 2023 |
| Improving closed and open-vocabulary attribute prediction using transformers K Pham, K Kafle, Z Lin, Z Ding, S Cohen, Q Tran, A Shrivastava European conference on computer vision, 201-219, 2022 | 23 | 2022 |
| Question answering for data visualizations S Cohen, K Kafle, B Price US Patent 10,754,851, 2020 | 20 | 2020 |
| Occamnets: Mitigating dataset bias by favoring simpler hypotheses R Shrestha, K Kafle, C Kanan European Conference on Computer Vision, 702-721, 2022 | 19 | 2022 |
| FineMatch: Aspect-Based Fine-Grained Image and Text Mismatch Detection and Correction H Hua, J Shi, K Kafle, S Jenni, D Zhang, J Collomosse, S Cohen, J Luo European Conference on Computer Vision, 474-491, 2024 | 14 | 2024 |
| Do we need fully connected output layers in convolutional networks? Z Qian, TL Hayes, K Kafle, C Kanan arXiv preprint arXiv:2004.13587, 2020 | 14 | 2020 |
Christopher KananUniversity of RochesterEmail verificata su cs.rochester.edu