| Image Captioning with Deep Bidirectional LSTMs C Wang, H Yang, C Bartz, C Meinel Proceedings of the 24th ACM international conference on Multimedia, 988-997, 2016 | 346 | 2016 |
| Image Captioning with Deep Bidirectional LSTMs and Multi-Task Learning C Wang, H Yang, C Meinel ACM Transactions on Multimedia Computing, Communications, and Applications …, 2018 | 135 | 2018 |
| Punctuation Prediction for Unsegmented Transcript Based on Word Vector X Che, C Wang, H Yang, C Meinel Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 125 | 2016 |
| RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems C Wang, M Niepert, H Li IEEE Transactions on Neural Networks and Learning Systems, 2019 | 82 | 2019 |
| Deep semantic mapping for cross-modal retrieval C Wang, H Yang, C Meinel 2015 IEEE 27th International conference on tools with artificial …, 2015 | 67 | 2015 |
| A deep semantic framework for multimodal representation learning C Wang, H Yang, C Meinel Multimedia Tools and Applications 75, 9255-9276, 2016 | 45 | 2016 |
| State-Regularized Recurrent Neural Networks C Wang, M Niepert ICML 2019, 2019 | 43 | 2019 |
| An attempt at MOOC localization for Chinese-speaking users X Che, S Luo, C Wang, C Meinel International Journal of Information and Education Technology 6 (2), 90, 2016 | 40 | 2016 |
| LRMM: Learning to Recommend with Missing Modalities C Wang, M Niepert, H Li EMNLP 2018, 2018 | 37 | 2018 |
| Exploring multimodal video representation for action recognition C Wang, H Yang, C Meinel 2016 International Joint Conference on Neural Networks (IJCNN), 1924-1931, 2016 | 29 | 2016 |
| Calibration in Deep Learning: A Survey of the State-of-the-Art C Wang https://arxiv.org/abs/2308.01222, 2023 | 21 | 2023 |
| Transformer Uncertainty Estimation with Hierarchical Stochastic Attention J Pei, C Wang, G Szarvas AAAI 2022, 2022 | 17 | 2022 |
| RRA: Recurrent Residual Attention for Sequence Learning C Wang arXiv:1709.03714, 2017 | 17 | 2017 |
| Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study C Wang, J Balazs, G Szarvas, P Ernst, L Poddar, P Danchenko EMNLP 2022: Industry Track, 145-153, 2022 | 9 | 2022 |
| An improved system for real-time scene text recognition H Yang, C Wang, X Che, S Luo, C Meinel Proceedings of the 5th ACM on International Conference on Multimedia …, 2015 | 8 | 2015 |
| Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs C Wang, C Lawrence, M Niepert ICLR 2021, 2020 | 7 | 2020 |
| Action recognition in surveillance video using convnets and motion history image S Luo, H Yang, C Wang, X Che, C Meinel Artificial Neural Networks and Machine Learning–ICANN 2016: 25th …, 2016 | 7 | 2016 |
| Real-time action recognition in surveillance videos using ConvNets S Luo, H Yang, C Wang, X Che, C Meinel Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016 | 7 | 2016 |
| SceneTextReg: a real-time video OCR system H Yang, C Wang, C Bartz, C Meinel Proceedings of the 24th ACM international conference on Multimedia, 698-700, 2016 | 5 | 2016 |
| State-regularized recurrent neural networks to extract automata and explain predictions C Wang, C Lawrence, M Niepert IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7739-7750, 2022 | 4 | 2022 |
christoph meinelHasso Plattner Institute / German University of Digital ScienceVerified email at hpi.de
