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Jiangmiao Pang (庞江淼)
Jiangmiao Pang (庞江淼)
Shanghai AI Laboratory
Verified email at pjlab.org.cn - Homepage
Title
Cited by
Cited by
Year
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
1198*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
7622019
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
7092019
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
2042019
-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
1312019
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
882018
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
57*2021
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
552021
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
542020
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
502021
MMDetection3D: OpenMMLab Next-generation Platform for General 3D Object Detection
M Contributors
https://github.com/open-mmlab/mmdetection3d, 2020
382020
Probabilistic and Geometric Depth: Detecting Objects in Perspective
T Wang, X Zhu, J Pang(†), D Lin
Conference on Robot Learning (CoRL), 2021
322021
K-Net: Towards Unified Image Segmentation
W Zhang, J Pang, K Chen, CC Loy
Neural Information Processing Systems (NeurIPS), 2021
262021
MMTracking: OpenMMLab Video Perception Toolbox and Benchmark
M Contributors
https://github.com/open-mmlab/mmtracking, 2020
92020
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
62021
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
22022
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
22022
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
Dense Siamese Network
W Zhang, J Pang, K Chen, CC Loy
arXiv preprint arXiv:2203.11075, 2022
2022
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Articles 1–19