| Visual genome: Connecting language and vision using crowdsourced dense image annotations R Krishna, Y Zhu, O Groth, J Johnson, K Hata, J Kravitz, S Chen, ... IJCV - International journal of computer vision 123 (1), 32-73, 2017 | 5554 | 2017 |
| Decoupling representation and classifier for long-tailed recognition B Kang, S Xie, M Rohrbach, Z Yan, A Gordo, J Feng, Y Kalantidis International Conference on Learning Representations (ICLR), 2020 | 1246 | 2020 |
| Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution Y Chen, H Fan, B Xu, Z Yan, Y Kalantidis, M Rohrbach, S Yan, J Feng Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 661 | 2019 |
| -Nets: Double Attention Networks Y Chen, Y Kalantidis, J Li, S Yan, J Feng Neural Information Processing Systems (NeurIPS), 2018 | 642 | 2018 |
| Hard Negative Mixing for Contrastive Learning Y Kalantidis, MB Sariyildiz, N Pion, P Weinzaepfel, D Larlus Neural Information Processing Systems (NeurIPS) 33, 2020 | 597 | 2020 |
| Graph-based global reasoning networks Y Chen, M Rohrbach, Z Yan, Y Shuicheng, J Feng, Y Kalantidis Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 522 | 2019 |
| Cross-dimensional weighting for aggregated deep convolutional features Y Kalantidis, C Mellina, S Osindero European Conference on Computer Vision Workshop, 685-701, 2016 | 497 | 2016 |
| Locally Optimized Product Quantization for Approximate Nearest Neighbor Search Y Kalantidis, Y Avrithis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2014 | 323 | 2014 |
| Multi-Fiber Networks for Video Recognition Y Chen, Y Kalantidis, J Li, S Yan, J Feng European Conference on Computer Vision (ECCV), 2018 | 265 | 2018 |
| Getting the Look: Clothing Recognition and Segmentation for Automatic Product Suggestions in Everyday Photos Y Kalantidis, L Kennedy, LJ Li International Conference on Multimedia Retrieval (ICMR), 2013 | 255 | 2013 |
| Grounded video description L Zhou, Y Kalantidis, X Chen, JJ Corso, M Rohrbach Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 211 | 2019 |
| Probabilistic Embeddings for Cross-Modal Retrieval S Chun, SJ Oh, RS de Rezende, Y Kalantidis, D Larlus Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 199 | 2021 |
| Large-Scale Visual Relationship Understanding J Zhang, Y Kalantidis, M Rohrbach, M Paluri, A Elgammal, M Elhoseiny Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019 | 172 | 2019 |
| Scalable triangulation-based logo recognition Y Kalantidis, LG Pueyo, M Trevisiol, R Van Zwol, Y Avrithis International Comference on Multimedia Retrieval (ICMR), 2011 | 161 | 2011 |
| Retrieving landmark and non-landmark images from community photo collections Y Avrithis, Y Kalantidis, G Tolias, E Spyrou ACM Multimedia, 2010, 153-162, 2010 | 158 | 2010 |
| DMC-Net: Generating discriminative motion cues for fast compressed video action recognition Z Shou, X Lin, Y Kalantidis, L Sevilla-Lara, M Rohrbach, SF Chang, Z Yan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 152 | 2019 |
| Less is more: Learning highlight detection from video duration B Xiong, Y Kalantidis, D Ghadiyaram, K Grauman Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 116 | 2019 |
| Fake it till you make it: Learning transferable representations from synthetic ImageNet clones MB Sarıyıldız, K Alahari, D Larlus, Y Kalantidis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 105 | 2023 |
| Viral: Visual image retrieval and localization Y Kalantidis, G Tolias, Y Avrithis, M Phinikettos, E Spyrou, P Mylonas, ... Multimedia Tools and Applications 51 (2), 555-592, 2011 | 105 | 2011 |
| Multimodal Classification of Moderated Online Pro-Eating Disorder Content S Chancellor, Y Kalantidis, JA Pater, M De Choudhury, DA Shamma Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017 | 94 | 2017 |
David A. ShammaToyota Research Institute在 acm.org 的电子邮件经过验证
