Extreme low resolution activity recognition with multi-siamese embedding learning M Ryoo, K Kim, H Yang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 86 | 2018 |
A new split for evaluating true zero-shot action recognition SN Gowda, L Sevilla-Lara, K Kim, F Keller, M Rohrbach DAGM German Conference on Pattern Recognition, 191-205, 2021 | 33 | 2021 |
Capturing temporal information in a single frame: Channel sampling strategies for action recognition K Kim, SN Gowda, O Mac Aodha, L Sevilla-Lara arXiv preprint arXiv:2201.10394 2, 2022 | 14* | 2022 |
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition K Kim, SN Gowda, O Mac Aodha, L Sevilla-Lara 33rd British Machine Vision Conference 2022, BMVC 2022, 2022 | 8 | 2022 |
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts K Kim, SN Gowda, P Eustratiadis, A Antoniou, RB Fisher arXiv preprint arXiv:2401.11406, 2024 | | 2024 |
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition K Kim, D Moltisanti, O Mac Aodha, L Sevilla-Lara 33rd British Machine Vision Conference 2022, BMVC 2022, 2022 | | 2022 |
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognition-Supplementary Material K Kim, SN Gowda, O Mac Aodha, L Sevilla-Lara TC 36, 65.3, 2022 | | 2022 |