Learning Statistical Texture for Semantic Segmentation L Zhu*, D Ji*, S Zhu, W Gan, W Wu, J Yan IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 133 | 2021 |
Class-wise dynamic graph convolution for semantic segmentation H Hu, D Ji, W Gan, S Bai, W Wu, J Yan Proceedings of the European Conference on Computer Vision (ECCV), 1-17, 2020 | 90 | 2020 |
The 2018 nvidia ai city challenge M Naphade, MC Chang, A Sharma, DC Anastasiu, V Jagarlamudi, ... Proceedings of IEEE Conference on Computer Vision and Pattern Recognition …, 2018 | 85 | 2018 |
Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation D Ji, H Wang, M Tao, J Huang, XS Hua, H Lu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 52 | 2022 |
Challenges on large scale surveillance video analysis W Feng, D Ji, Y Wang, S Chang, H Ren, W Gan Proceedings of IEEE Conference on Computer Vision and Pattern Recognition …, 2018 | 38 | 2018 |
IPGN: Interactiveness proposal graph network for human-object interaction detection H Wang, L Jiao, F Liu, L Li, X Liu, D Ji, W Gan IEEE Transactions on Image Processing 30, 6583-6593, 2021 | 32 | 2021 |
Context-Aware Graph Convolution Network for Target Re-identification D Ji, H Wang, H Hu, W Gan, W Wu, J Yan Proceedings of the AAAI Conference on Artificial Intelligence, 35(2), 1646-1654., 2020 | 24 | 2020 |
Ibd: Alleviating hallucinations in large vision-language models via image-biased decoding L Zhu, D Ji, T Chen, P Xu, J Ye, J Liu arXiv preprint arXiv:2402.18476, 2024 | 13 | 2024 |
Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark D Ji, F Zhao, H Lu, M Tao, J Ye IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 12 | 2023 |
Learning social spatio-temporal relation graph in the wild and a video benchmark H Wang, L Jiao, F Liu, L Li, X Liu, D Ji, W Gan IEEE Transactions on Neural Networks and Learning Systems 34 (6), 2951-2964, 2021 | 11 | 2021 |
Llafs: When large-language models meet few-shot segmentation L Zhu, T Chen, D Ji, J Ye, J Liu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 10 | 2024 |
End to end multi-scale convolutional neural network for crowd counting D Ji, H Lu, T Zhang Proceedings of International Conference on Machine Vision 11041, 110412S, 2018 | 9 | 2018 |
Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation D Ji, F Zhao, H Lu International Joint Conference on Artificial Intelligence (IJCAI), 2023 | 7 | 2023 |
ChangeNet: Multi-Temporal Asymmetric Change Detection Dataset D Ji, S Gao, M Tao, H Lu, F Zhao ICASSP Oral, IEEE International Conference on Acoustics, Speech and Signal …, 2024 | 4 | 2024 |
Reasoning3D--Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models T Chen, C Yu, J Li, J Zhang, L Zhu, D Ji, Y Zhang, Y Zang, Z Li, L Sun arXiv preprint arXiv:2405.19326, 2024 | 2 | 2024 |
Learning statistical texture for semantic segmentation [C]. IEEE L Zhu, D Ji, S Zhu CVF Conference on Computer Vision and Pattern Recognition, Nashville …, 2021 | 2 | 2021 |
Discrete Latent Perspective Learning for Segmentation and Detection D Ji, F Zhao, L Zhu, W Jin, H Lu, J Ye International Conference on Machine Learning (Spotlight, 2% of submitted …, 2024 | 1 | 2024 |
xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba Counterpart T Chen, C Ding, L Zhu, T Xu, D Ji, Y Zhang, Z Li arXiv preprint arXiv:2407.01530, 2024 | | 2024 |
View-Centric Multi-Object Tracking with Homographic Matching in Moving UAV D Ji, S Gao, L Zhu, Q Zhu, Y Zhao, P Xu, H Lu, F Zhao, J Ye arXiv preprint arXiv:2403.10830, 2024 | | 2024 |
PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation D Ji, W Jin, H Lu, F Zhao International Joint Conference on Artificial Intelligence (IJCAI), 2024 | | 2024 |