| 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 | 4100 | 2022 |
| PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings M Ali, M Berrendorf, CT Hoyt, L Vermue, S Sharifzadeh, V Tresp, ... Journal of Machine Learning Research 22 (82), 1-6, 2021 | 237 | 2021 |
| Bringing light into the dark: A large-scale evaluation of knowledge graph embedding models under a unified framework M Ali, M Berrendorf, CT Hoyt, L Vermue, M Galkin, S Sharifzadeh, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 174 | 2021 |
| Learning to drive using inverse reinforcement learning and deep q-networks S Sharifzadeh, I Chiotellis, R Triebel, D Cremers Advances in Neural Information Processing Systems 29 (NeurIPS 2016 …, 2016 | 133 | 2016 |
| Relationformer: A unified framework for image-to-graph generation S Shit, R Koner, B Wittmann, J Paetzold, I Ezhov, H Li, J Pan, ... ECCV, 2022 | 65 | 2022 |
| Classification by attention: Scene graph classification with prior knowledge S Sharifzadeh, SM Baharlou, V Tresp Proceedings of the AAAI Conference on Artificial Intelligence 35, 5025--5033, 2021 | 62 | 2021 |
| An unsupervised joint system for text generation from knowledge graphs and semantic parsing M Schmitt, S Sharifzadeh, V Tresp, H Schütze Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 47 | 2020 |
| Ultra-high-granularity detector simulation with intra-event aware generative adversarial network and self-supervised relational reasoning B Hashemi, N Hartmann, S Sharifzadeh, J Kahn, T Kuhr Nature Communications 15 (1), 4916, 2024 | 44* | 2024 |
| Automatic image‐based determination of pruning mass as a determinant for yield potential in grapevine management and breeding A Kicherer, M Klodt, S Sharifzadeh, D Cremers, R Töpfer, K Herzog Australian Journal of Grape and Wine Research 23 (1), 120-124, 2016 | 34 | 2016 |
| Improving Visual Relation Detection using Depth Maps S Sharifzadeh, S Baharlou, M Berrendorf, R Koner, V Tresp 2020 25th International Conference on Pattern Recognition, 2020 | 29 | 2020 |
| Improving Scene Graph Classification by Exploiting Knowledge from Texts S Sharifzadeh, SM Baharlou, M Schmitt, H Schütze, V Tresp Proceedings of the AAAI Conference on Artificial Intelligence 36, 2022 | 21 | 2022 |
| Instanceformer: An online video instance segmentation framework R Koner, T Hannan, S Shit, S Sharifzadeh, M Schubert, T Seidl, V Tresp Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 1188-1195, 2023 | 16 | 2023 |
| Do dall-e and flamingo understand each other? H Li, J Gu, R Koner, S Sharifzadeh, V Tresp Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 13 | 2023 |
| Synth: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings S Sharifzadeh, C Kaplanis, S Pathak, D Kumaran, A Ilic, J Mitrovic, ... arXiv preprint arXiv:2403.07750, 2024 | 12 | 2024 |
| Pournet: Robust robotic pouring through curriculum and curiosity-based reinforcement learning E Babaians, T Sharma, M Karimi, S Sharifzadeh, E Steinbach 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 10 | 2022 |
| Memegraphs: Linking memes to knowledge graphs V Kougia, S Fetzel, T Kirchmair, E Çano, SM Baharlou, S Sharifzadeh, ... International Conference on Document Analysis and Recognition, 534-551, 2023 | 9 | 2023 |
| The tensor brain: Semantic decoding for perception and memory V Tresp, S Sharifzadeh, D Konopatzki, Y Ma arXiv preprint arXiv:2001.11027, 2020 | 9 | 2020 |
| The tensor brain: A unified theory of perception, memory, and semantic decoding V Tresp, S Sharifzadeh, H Li, D Konopatzki, Y Ma Neural Computation 35 (2), 156-227, 2023 | 8 | 2023 |
| A Model for Perception and Memory V Tresp, S Sharifzadeh, D Konopatzki Conference on Cognitive Computational Neuroscience (CCN), 2019 | 8 | 2019 |
| A highly accurate platform for clone-specific mutation discovery enables the study of active mutational processes M KaramiNejadRanjbar, S Sharifzadeh, NC Wietek, M Artibani, ... Elife 9, 2020 | 6 | 2020 |
Volker TrespLudwig-Maximilians-Universität München (LMU Munich)Verified email at dbs.ifi.lmu.de
