| Multiscale vision transformers H Fan, B Xiong, K Mangalam, Y Li, Z Yan, J Malik, C Feichtenhofer Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 1437 | 2021 |
| 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, 2019 | 1411 | 2019 |
| Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution Y Chen, H Fang, B Xu, Z Yan, Y Kalantidis, M Rohrbach, S Yan, J Feng International Conference on Computer Vision (ICCV), 2019, 2019 | 721 | 2019 |
| HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition Z Yan, H Zhang, R Piramuthu, V Jagadeesh, D DeCoste, W Di, Y Yu International Conference on Computer Vision (ICCV), 2015, 2015 | 655* | 2015 |
| Visual transformers: Where do transformers really belong in vision models? B Wu, C Xu, X Dai, A Wan, P Zhang, Z Yan, M Tomizuka, JE Gonzalez, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 599-609, 2021 | 630* | 2021 |
| Graph-Based Global Reasoning Networks Y Chen, M Rohrbach, Z Yan, S Yan, J Feng, Y Kalantidis Proceedings of the IEEE conference on Computer Vision and Pattern …, 2019 | 560 | 2019 |
| HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization H Zhao, A Torralba, L Torresani, Z Yan International Conference on Computer Vision (ICCV), 2019, 2019 | 343* | 2019 |
| Automatic Photo Adjustment Using Deep Neural Networks Z Yan, H Zhang, B Wang, S Paris, Y Yu ACM Transactions on Graphics (TOG), 2015, 2015 | 322 | 2015 |
| 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 | 159 | 2019 |
| Unified Transformer Tracker for Object Tracking F Ma, MZ Shou, L Zhu, H Fan, Y Xu, Y Yang, Z Yan Proceedings of the IEEE conference on Computer Vision and Pattern …, 2022 | 116 | 2022 |
| Only Time Can Tell: Discovering Temporal Data for Temporal Modeling L Sevilla-Lara, S Zha, Z Yan, V Goswami, M Feiszli, L Torresani Winter Conference on Applications of Computer Vision (WACV), 2020, 2019 | 87 | 2019 |
| A novel interface for interactive exploration of DTI fibers W Chen, S Zhang, A MacKay-Brandt, S Correia, H Qu, JA Crow, DF Tate, ... IEEE Transactions on Visualization and Computer Graphics 15 (6), 1433-1440, 2009 | 86 | 2009 |
| Nasvit: Neural architecture search for efficient vision transformers with gradient conflict-aware supernet training C Gong, D Wang ICLR Proceedings 2022, 2022 | 80 | 2022 |
| Combining the best of convolutional layers and recurrent layers: A hybrid network for semantic segmentation Z Yan, H Zhang, Y Jia, T Breuel, Y Yu arXiv preprint arXiv:1603.04871, 2016 | 52 | 2016 |
| Exploring open-vocabulary semantic segmentation from clip vision encoder distillation only J Chen, D Zhu, G Qian, B Ghanem, Z Yan, C Zhu, F Xiao, SC Culatana, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 699-710, 2023 | 38* | 2023 |
| Going denser with open-vocabulary part segmentation P Sun, S Chen, C Zhu, F Xiao, P Luo, S Xie, Z Yan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 35 | 2023 |
| Rethinking the self-attention in vision transformers K Kim, B Wu, X Dai, P Zhang, Z Yan, P Vajda, SJ Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 35 | 2021 |
| Learning concept taxonomies from multi-modal data H Zhang, Z Hu, Y Deng, M Sachan, Z Yan, EP Xing the Annual Meeting of the Association for Computational Linguistics (ACL), 2016, 2016 | 31 | 2016 |
| FP-NAS: Fast Probabilistic Neural Architecture Search Z Yan, X Dai, P Zhang, Y Tian, B Wu, M Feiszli Proceedings of the IEEE conference on Computer Vision and Pattern …, 2021 | 26 | 2021 |
| Fast nonrigid 3D retrieval using modal space transform J Ye, Z Yan, Y Yu Proceedings of the 3rd ACM conference on International conference on …, 2013 | 24 | 2013 |
Marcus RohrbachProfessor for Multimodal Reliable AI, TU Darmstadt, GermanyEmail confirmado em tu-darmstadt.de
