| Uncertainty-aware pseudo label refinery for domain adaptive semantic segmentation Y Wang, J Peng, ZX Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 100 | 2021 |
| Rolellm: Benchmarking, eliciting, and enhancing role-playing abilities of large language models ZM Wang, Z Peng, H Que, J Liu, W Zhou, Y Wu, H Guo, R Gan, Z Ni, ... arXiv preprint arXiv:2310.00746, 2023 | 72 | 2023 |
| Efficient neural architecture transformation search in channel-level for object detection J Peng, M Sun, ZX ZHANG, T Tan, J Yan Advances in neural information processing systems 32, 2019 | 61 | 2019 |
| 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 |
| 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 | 50 | 2021 |
| Context-aware co-supervision for accurate object detection J Peng, H Wang, S Yue, Z Zhang Pattern Recognition 121, 108199, 2022 | 27 | 2022 |
| POD: Practical object detection with scale-sensitive network J Peng, M Sun, Z Zhang, T Tan, J Yan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 25 | 2019 |
| Owl: A large language model for it operations H Guo, J Yang, J Liu, L Yang, L Chai, J Bai, J Peng, X Hu, C Chen, ... arXiv preprint arXiv:2309.09298, 2023 | 22 | 2023 |
| Rebooting computing and low-power image recognition challenge YH Lu, AM Kadin, AC Berg, TM Conte, EP DeBenedictis, R Garg, ... 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 927-932, 2015 | 22 | 2015 |
| BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation C Pan, Y He, J Peng, Q Zhang, W Sui, Z Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 17 | 2023 |
| Beyond masking: Demystifying token-based pre-training for vision transformers Y Tian, L Xie, J Fang, M Shi, J Peng, X Zhang, J Jiao, Q Tian, Q Ye arXiv preprint arXiv:2203.14313, 2022 | 14 | 2022 |
| Fast object detection at constrained energy J Liu, Y Huang, J Peng, J Yao, L Wang IEEE Transactions on Emerging Topics in Computing 6 (3), 409-416, 2016 | 14 | 2016 |
| Semantic anything in 3d gaussians X Hu, Y Wang, L Fan, J Fan, J Peng, Z Lei, Q Li, Z Zhang arXiv preprint arXiv:2401.17857, 2024 | 12 | 2024 |
| DATA: Domain-aware and task-aware self-supervised learning Q Chang, J Peng, L Xie, J Sun, H Yin, Q Tian, Z Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 10 | 2022 |
| Accelerating deep neural networks with spatial bottleneck modules J Peng, L Xie, Z Zhang, T Tan, J Wang arXiv preprint arXiv:1809.02601, 2018 | 8 | 2018 |
| Logformer: A pre-train and tuning pipeline for log anomaly detection H Guo, J Yang, J Liu, J Bai, B Wang, Z Li, T Zheng, B Zhang, J Peng, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 135-143, 2024 | 7 | 2024 |
| Citygaussian: Real-time high-quality large-scale scene rendering with gaussians Y Liu, H Guan, C Luo, L Fan, J Peng, Z Zhang arXiv preprint arXiv:2404.01133, 2024 | 6 | 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 | 6 | 2023 |
| Scenex: Procedural controllable large-scale scene generation via large-language models M Zhou, J Hou, C Luo, Y Wang, Z Zhang, J Peng arXiv preprint arXiv:2403.15698, 2024 | 3 | 2024 |
| Generating Fine-Grained Human Motions Using ChatGPT-Refined Descriptions X Shi, C Luo, J Peng, H Zhang, Y Sun arXiv preprint arXiv:2312.02772, 2023 | 3 | 2023 |
