| Soon: Scenario oriented object navigation with graph-based exploration F Zhu, X Liang, Y Zhu, Q Yu, X Chang, X Liang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 88 | 2021 |
| Soda10m: A large-scale 2d self/semi-supervised object detection dataset for autonomous driving J Han, X Liang, H Xu, K Chen, L Hong, J Mao, C Ye, W Zhang, Z Li, ... arXiv preprint arXiv:2106.11118, 2021 | 53 | 2021 |
| Adapt: Vision-language navigation with modality-aligned action prompts B Lin, Y Zhu, Z Chen, X Liang, J Liu, X Liang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 43 | 2022 |
| Soda10m: Towards large-scale object detection benchmark for autonomous driving J Han, X Liang, H Xu, K Chen, H Lanqing, C Ye, W Zhang, Z Li, X Liang, ... | 31 | 2021 |
| Visual-language navigation pretraining via prompt-based environmental self-exploration X Liang, F Zhu, L Li, H Xu, X Liang arXiv preprint arXiv:2203.04006, 2022 | 28 | 2022 |
| Effective adaptation in multi-task co-training for unified autonomous driving X Liang, Y Wu, J Han, H Xu, C Xu, X Liang Advances in Neural Information Processing Systems 35, 19645-19658, 2022 | 23 | 2022 |
| Nlip: Noise-robust language-image pre-training R Huang, Y Long, J Han, H Xu, X Liang, C Xu, X Liang Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 926-934, 2023 | 17 | 2023 |
| Contrastive instruction-trajectory learning for vision-language navigation X Liang, F Zhu, Y Zhu, B Lin, B Wang, X Liang Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1592-1600, 2022 | 16 | 2022 |
| Visual exemplar driven task-prompting for unified perception in autonomous driving X Liang, M Niu, J Han, H Xu, C Xu, X Liang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Configurable graph reasoning for visual relationship detection Y Zhu, X Liang, B Lin, Q Ye, J Jiao, L Lin, X Liang IEEE Transactions on Neural Networks and Learning Systems 33 (1), 117-129, 2020 | 9 | 2020 |
| Rain wiper: An incremental randomly wired network for single image deraining X Liang, B Qiu, Z Su, C Gao, X Shi, R Wang Computer Graphics Forum 38 (7), 159-169, 2019 | 7 | 2019 |
| Conditional feature coupling network for multi-persons clothing parsing J Guo, Z Su, X Luo, G Zhang, X Liang Pacific Rim Conference on Multimedia, 189-200, 2018 | 7 | 2018 |
| Mo-vln: A multi-task benchmark for open-set zero-shot vision-and-language navigation X Liang, L Ma, S Guo, J Han, H Xu, S Ma, X Liang arXiv preprint arXiv:2306.10322, 2023 | 5 | 2023 |
| Learning mean progressive scattering using binomial truncated loss for image dehazing B Qiu, X Liang, Z Su, R Wang, F Zhou IET Image Processing 13 (14), 2929-2939, 2019 | 2 | 2019 |
| Multi-task Perception for Autonomous Driving X Liang, X Liang, H Xu Autonomous Driving Perception: Fundamentals and Applications, 281-321, 2023 | | 2023 |
| Benchmarking the Multi-task Learning for Unified Perception in Autonomous Driving X Liang, M Niu, H Xu, J Han, Y Wu, C Xu, X Liang | | |
Xiaodan LiangAssociate Professor, Sun Yat-sen University, MBZUAI, CMU, NUSVerified email at mail2.sysu.edu.cn
