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Jiangmiao Pang (庞江淼)
Jiangmiao Pang (庞江淼)
Shanghai AI Laboratory
在 pjlab.org.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
MMDetection: Open MMLab Detection Toolbox and Benchmark
K Chen, J Pang*, J Wang*, Y Cao, Y Xiong, X Li, S Sun, W Feng, Z Liu, ...
https://github.com/open-mmlab/mmdetection, 2019
1408*2019
Libra R-CNN: Towards Balanced Learning for Object Detection
J Pang, K Chen, J Shi, H Feng, W Ouyang, D Lin
Computer Vision and Pattern Recognition (CVPR), 2019
9012019
Hybrid Task Cascade for Instance Segmentation
K Chen, J Pang, J Wang, Y Xiong, X Li, S Sun, W Feng, Z Liu, J Shi, ...
Computer Vision and Pattern Recognition (CVPR), 2019
8022019
Adapting Object Detectors via Selective Cross-Domain Alignment
X Zhu, J Pang, C Yang, J Shi, D Lin
Computer Vision and Pattern Recognition (CVPR), 2019
2242019
-CNN: Fast Tiny Object Detection in Large-scale Remote Sensing Images
J Pang, C Li, J Shi, Z Xu, H Feng
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019
1522019
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction
S Sun, J Pang, J Shi, S Yi, W Ouyang
Neural Information Processing Systems (NeurIPS), 2018
942018
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
T Wang, X Zhu, J Pang, D Lin
International Conference on Computer Vision Workshops (ICCVW), 2021
922021
Quasi-Dense Similarity Learning for Multiple Object Tracking
J Pang, L Qiu, X Li, H Chen, Q Li, T Darrell, F Yu
Computer Vision and Pattern Recognition (CVPR), 2021
87*2021
Seesaw Loss for Long-Tailed Instance Segmentation
J Wang, W Zhang, Y Zang, Y Cao, J Pang, T Gong, K Chen, Z Liu, CC Loy, ...
Computer Vision and Pattern Recognition (CVPR), 2021
772021
Side-aware Boundary Localization for More Precise Object Detection
J Wang, W Zhang, Y Cao, K Chen, J Pang, T Gong, J Shi, CC Loy, D Lin
European Conference on Computer Vision (ECCV), 2020
662020
MMDetection3D: OpenMMLab Next-generation Platform for General 3D Object Detection
M Contributors
https://github.com/open-mmlab/mmdetection3d, 2020
622020
Probabilistic and Geometric Depth: Detecting Objects in Perspective
T Wang, X Zhu, J Pang(†), D Lin
Conference on Robot Learning (CoRL), 2021
542021
K-Net: Towards Unified Image Segmentation
W Zhang, J Pang, K Chen, CC Loy
Neural Information Processing Systems (NeurIPS), 2021
382021
Context-aware Mixup for Domain Adaptive Semantic Segmentation
Q Zhou, Z Feng, Q Gu, J Pang, G Cheng, X Lu, J Shi, L Ma
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022
112022
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
J Cao, X Weng, R Khirodkar, J Pang, K Kitani
arXiv preprint arXiv:2203.14360, 2022
102022
MMTracking: OpenMMLab Video Perception Toolbox and Benchmark
M Contributors
https://github.com/open-mmlab/mmtracking, 2020
102020
Towards Balanced Learning for Instance Recognition
J Pang, K Chen, Q Li, Z Xu, H Feng, J Shi, W Ouyang, D Lin
International Journal of Computer Vision (IJCV), 2021
82021
Monocular 3D Object Detection with Depth from Motion
T Wang, J Pang(†), D Lin
European Conference on Computer Vision (ECCV), 2022
52022
Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation
X Li*, W Zhang*, J Pang*, K Chen, G Cheng, Y Tong, CC Loy
Computer Vision and Pattern Recognition (CVPR), 2022
52022
What Are Expected Queries in End-to-End Object Detection?
S Zhang, X Wang, J Wang, J Pang, K Chen
arXiv preprint arXiv:2206.01232, 2022
2022
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