Detr for crowd pedestrian detection M Lin, C Li, X Bu, M Sun, C Lin, J Yan, W Ouyang, Z Deng arXiv preprint arXiv:2012.06785, 2020 | 66 | 2020 |
Large-scale object detection in the wild from imbalanced multi-labels J Peng, X Bu, M Sun, Z Zhang, T Tan, J Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 55 | 2020 |
Deep convolutional network with locality and sparsity constraints for texture classification X Bu, Y Wu, Z Gao, Y Jia Pattern Recognition 91, 34-46, 2019 | 54 | 2019 |
Gaia: A transfer learning system of object detection that fits your needs X Bu, J Peng, J Yan, T Tan, Z Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 49 | 2021 |
Learning a robust representation via a deep network on symmetric positive definite manifolds Z Gao, Y Wu, X Bu, T Yu, J Yuan, Y Jia Pattern Recognition 92, 1-12, 2019 | 30 | 2019 |
Solution for large-scale hierarchical object detection datasets with incomplete annotation and data imbalance Y Gao, X Bu, Y Hu, H Shen, T Bai, X Li, S Wen arXiv preprint arXiv:1810.06208, 2018 | 20 | 2018 |
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues G Bai, J Liu, X Bu, Y He, J Liu, Z Zhou, Z Lin, W Su, T Ge, B Zheng, ... arXiv preprint arXiv:2402.14762, 2024 | 8* | 2024 |
Beyond bounding box: Multimodal knowledge learning for object detection W Feng, X Bu, C Zhang, X Li arXiv preprint arXiv:2205.04072, 2022 | 7 | 2022 |
Visual Encoding and Debiasing for CTR Prediction G Xv, S Chen, C Lin, W Guan, X Bu, X Li, H Deng, J Xu, B Zheng Proceedings of the 31st ACM International Conference on Information …, 2022 | 6* | 2022 |
Conceptmath: A bilingual concept-wise benchmark for measuring mathematical reasoning of large language models Y Wu, J Liu, X Bu, J Liu, Z Zhou, Y Zhang, C Zhang, Z Bai, H Chen, T Ge, ... arXiv preprint arXiv:2402.14660, 2024 | 5* | 2024 |
GAIA-Universe: Everything is Super-Netify J Peng, Q Chang, H Yin, X Bu, J Sun, L Xie, X Zhang, Q Tian, Z Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (10 …, 2023 | 5 | 2023 |
Attention Estimation for Input Switch in Scalable Multi-display Environments X Bu, M Pei, Y Jia Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016 | 3 | 2016 |
Learning an efficient network for large-scale hierarchical object detection with data imbalance: 3rd place solution to open images challenge 2019 X Bu, J Peng, C Wang, C Yu, G Cao arXiv preprint arXiv:1910.12044, 2019 | 2 | 2019 |
Approach for Large-Scale Hierarchical Object Detection Y Gao, X Bu, Y Hu, H Shen, T Bai, X Li, S Wen | 2 | 2018 |
Large-Scale Object Detection in the Wild With Imbalanced Data Distribution, and Multi-Labels C Pan, J Peng, X Bu, Z Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | | 2024 |
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models S Li, Y He, H Guo, X Bu, G Bai, J Liu, J Liu, X Qu, Y Li, W Ouyang, W Su, ... arXiv preprint arXiv:2406.14550, 2024 | | 2024 |
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level J Liu, Z Zhou, J Liu, X Bu, C Yang, HS Zhong, W Ouyang arXiv preprint arXiv:2406.11817, 2024 | | 2024 |