| HMDB: a large video database for human motion recognition H Kuehne, H Jhuang, E Garrote, T Poggio, T Serre 2011 International conference on computer vision, 2556-2563, 2011 | 4894 | 2011 |
| The language of actions: Recovering the syntax and semantics of goal-directed human activities H Kuehne, A Arslan, T Serre Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 731 | 2014 |
| Weakly supervised action learning with rnn based fine-to-coarse modeling A Richard, H Kuehne, J Gall Proceedings of the IEEE conference on Computer Vision and Pattern …, 2017 | 259 | 2017 |
| An end-to-end generative framework for video segmentation and recognition H Kuehne, J Gall, T Serre 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-8, 2016 | 244 | 2016 |
| More is less: Learning efficient video representations by big-little network and depthwise temporal aggregation Q Fan, CFR Chen, H Kuehne, M Pistoia, D Cox Advances in Neural Information Processing Systems 32, 2019 | 178* | 2019 |
| Neuralnetwork-viterbi: A framework for weakly supervised video learning A Richard, H Kuehne, A Iqbal, J Gall Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018 | 169 | 2018 |
| Everything at once-multi-modal fusion transformer for video retrieval N Shvetsova, B Chen, A Rouditchenko, S Thomas, B Kingsbury, RS Feris, ... Proceedings of the ieee/cvf conference on computer vision and pattern …, 2022 | 168 | 2022 |
| Avlnet: Learning audio-visual language representations from instructional videos A Rouditchenko, A Boggust, D Harwath, B Chen, D Joshi, S Thomas, ... arXiv preprint arXiv:2006.09199, 2020 | 156 | 2020 |
| Weakly supervised learning of actions from transcripts H Kuehne, A Richard, J Gall Computer Vision and Image Understanding 163, 78-89, 2017 | 149 | 2017 |
| Contrastive audio-visual masked autoencoder Y Gong, A Rouditchenko, AH Liu, D Harwath, L Karlinsky, H Kuehne, ... arXiv preprint arXiv:2210.07839, 2022 | 143 | 2022 |
| Unsupervised learning of action classes with continuous temporal embedding A Kukleva, H Kuehne, F Sener, J Gall Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 141 | 2019 |
| Action sets: Weakly supervised action segmentation without ordering constraints A Richard, H Kuehne, J Gall Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018 | 115 | 2018 |
| A hybrid rnn-hmm approach for weakly supervised temporal action segmentation H Kuehne, A Richard, J Gall IEEE transactions on pattern analysis and machine intelligence 42 (4), 765-779, 2018 | 109 | 2018 |
| Multimodal clustering networks for self-supervised learning from unlabeled videos B Chen, A Rouditchenko, K Duarte, H Kuehne, S Thomas, A Boggust, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 105 | 2021 |
| Generalized and incremental few-shot learning by explicit learning and calibration without forgetting A Kukleva, H Kuehne, B Schiele Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 69 | 2021 |
| Joint visual-temporal embedding for unsupervised learning of actions in untrimmed sequences RG VidalMata, WJ Scheirer, A Kukleva, D Cox, H Kuehne Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 63 | 2021 |
| Hmm-based human motion recognition with optical flow data D Gehrig, H Kuehne, A Woerner, T Schultz 2009 9th IEEE-RAS International Conference on Humanoid Robots, 425-430, 2009 | 58 | 2009 |
| Combined intention, activity, and motion recognition for a humanoid household robot D Gehrig, P Krauthausen, L Rybok, H Kuehne, UD Hanebeck, T Schultz, ... 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 50 | 2011 |
| Found a reason for me? weakly-supervised grounded visual question answering using capsules A Urooj, H Kuehne, K Duarte, C Gan, N Lobo, M Shah Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 46 | 2021 |
| Match, expand and improve: Unsupervised finetuning for zero-shot action recognition with language knowledge W Lin, L Karlinsky, N Shvetsova, H Possegger, M Kozinski, R Panda, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 42 | 2023 |
Thomas SerreProfessor, Brown University and ANR-3IA Artificial and Natural Intelligence Toulouse Institutebrown.edu의 이메일 확인됨
