Ego4d: Around the world in 3,000 hours of egocentric video K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 833 | 2022 |
Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives K Grauman, A Westbury, L Torresani, K Kitani, J Malik, T Afouras, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 69 | 2024 |
Applying the case difference heuristic to learn adaptations from deep network features X Ye, Z Zhao, D Leake, X Wang, D Crandall arXiv preprint arXiv:2107.07095, 2021 | 6 | 2021 |
Generating Counterfactual Images: Towards a C2C-VAE Approach. Z Zhao, D Leake, X Ye, DJ Crandall ICCBR Workshops, 189-194, 2022 | 5 | 2022 |
Fusing Personal and Environmental Cues for Identification and Segmentation of First-Person Camera Wearers in Third-Person Views Z Zhao, Y Wang, C Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
Generation and Evaluation of Creative Images from Limited Data: A Class-to-Class VAE Approach. X Ye, Z Zhao, D Leake, D Crandall ICCC, 314-323, 2022 | 2 | 2022 |
Case-Enhanced Vision Transformer: Improving Explanations of Image Similarity with a ViT-based Similarity Metric Z Zhao, D Leake, X Ye, D Crandall arXiv preprint arXiv:2407.16981, 2024 | | 2024 |
Towards Network Implementation of CBR: Case Study of a Neural Network K-NN Algorithm X Ye, D Leake, Y Wang, Z Zhao, D Crandall International Conference on Case-Based Reasoning, 354-370, 2024 | | 2024 |
Learning Analogies between Classes to Create Counterfactual Explanations X Ye, D Leake, Y Wang, Z Zhao, D Crandall | | 2024 |