| HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips A Miech, D Zhukov, JB Alayrac, M Tapaswi, I Laptev, J Sivic Proceedings of the IEEE International Conference on Computer Vision, 2630-2640, 2019 | 722 | 2019 |
| End-to-end learning of visual representations from uncurated instructional videos A Miech, JB Alayrac, L Smaira, I Laptev, J Sivic, A Zisserman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 526 | 2020 |
| Flamingo: a visual language model for few-shot learning JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ... Advances in Neural Information Processing Systems 35, 23716-23736, 2022 | 448 | 2022 |
| Learnable pooling with context gating for video classification A Miech, I Laptev, J Sivic arXiv preprint arXiv:1706.06905, 2017 | 345 | 2017 |
| Learning a text-video embedding from incomplete and heterogeneous data A Miech, I Laptev, J Sivic arXiv preprint arXiv:1804.02516, 2018 | 198 | 2018 |
| Just ask: Learning to answer questions from millions of narrated videos A Yang, A Miech, J Sivic, I Laptev, C Schmid Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 119 | 2021 |
| Thinking fast and slow: Efficient text-to-visual retrieval with transformers A Miech, JB Alayrac, I Laptev, J Sivic, A Zisserman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 85 | 2021 |
| Leveraging the present to anticipate the future in videos A Miech, I Laptev, J Sivic, H Wang, L Torresani, D Tran Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 63 | 2019 |
| Learning from video and text via large-scale discriminative clustering A Miech, JB Alayrac, P Bojanowski, I Laptev, J Sivic Proceedings of the IEEE international conference on computer vision, 5257-5266, 2017 | 48 | 2017 |
| Tubedetr: Spatio-temporal video grounding with transformers A Yang, A Miech, J Sivic, I Laptev, C Schmid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 30 | 2022 |
| Zero-shot video question answering via frozen bidirectional language models A Yang, A Miech, J Sivic, I Laptev, C Schmid arXiv preprint arXiv:2206.08155, 2022 | 24 | 2022 |
| Learning to answer visual questions from web videos A Yang, A Miech, J Sivic, I Laptev, C Schmid arXiv preprint arXiv:2205.05019, 2022 | 15 | 2022 |
| The end-of-end-to-end: A video understanding pentathlon challenge (2020) S Albanie, Y Liu, A Nagrani, A Miech, E Coto, I Laptev, R Sukthankar, ... arXiv preprint arXiv:2008.00744, 2020 | 11 | 2020 |
| Rareact: A video dataset of unusual interactions A Miech, JB Alayrac, I Laptev, J Sivic, A Zisserman arXiv preprint arXiv:2008.01018, 2020 | 8 | 2020 |
| Vid2Seq: Large-scale pretraining of a visual language model for dense video captioning A Yang, A Nagrani, PH Seo, A Miech, J Pont-Tuset, I Laptev, J Sivic, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos T Souček, JB Alayrac, A Miech, I Laptev, J Sivic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 4 | 2022 |
| Zorro: the masked multimodal transformer A Recasens, J Lin, J Carreira, D Jaegle, L Wang, J Alayrac, P Luc, ... arXiv preprint arXiv:2301.09595, 2023 | 2 | 2023 |
| Perception Test: A Diagnostic Benchmark for Multimodal Video Models V Pătrăucean, L Smaira, A Gupta, AR Continente, L Markeeva, D Banarse, ... arXiv preprint arXiv:2305.13786, 2023 | | 2023 |
| Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime C Zhang, A Miech, J Shen, JB Alayrac, P Luc arXiv preprint arXiv:2305.02297, 2023 | | 2023 |
| Multi-Task Learning of Object State Changes from Uncurated Videos T Souček, JB Alayrac, A Miech, I Laptev, J Sivic arXiv preprint arXiv:2211.13500, 2022 | | 2022 |
Ivan LaptevResearch director, INRIAVerified email at inria.fr
