Követés
Jiangmiao Pang (庞江淼)
Jiangmiao Pang (庞江淼)
Shanghai AI Laboratory
E-mail megerősítve itt: pjlab.org.cn - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
3646*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
18172019
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
16532019
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
6682021
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
J Cao, J Pang, X Weng, R Khirodkar, K Kitani
Computer Vision and Pattern Recognition (CVPR), 2023
6662023
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
4712021
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
4222019
K-Net: Towards Unified Image Segmentation
W Zhang, J Pang, K Chen, CC Loy
Neural Information Processing Systems (NeurIPS), 2021
4022021
MMDetection3D: OpenMMLab Next-Generation Platform for General 3D Object Detection
M Contributors
https://github.com/open-mmlab/mmdetection3d, 2020
3682020
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
3082021
Probabilistic and Geometric Depth: Detecting Objects in Perspective
T Wang, X Zhu, J Pang(†), D Lin
Conference on Robot Learning (CoRL), 2021
2992021
-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
2802019
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
1812020
Dense Distinct Query for End-to-End Object Detection
S Zhang, J Wang, J Pang, C Lyu, W Zhang, P Luo, K Chen
Computer Vision and Pattern Recognition (CVPR), 2023
1562023
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
1252018
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
1242022
PointLLM: Empowering Large Language Models to Understand Point Clouds
R Xu, X Wang, T Wang, Y Chen, J Pang(†), D Lin
European Conference on Computer Vision (ECCV), 2024
1222024
Transformer-Based Visual Segmentation: A Survey
X Li, H Ding, W Zhang, H Yuan, J Pang, G Cheng, K Chen, Z Liu, CC Loy
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
1222024
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
1002022
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking
T Fischer*, J Pang*, TE Huang, L Qiu, H Chen, T Darrell, F Yu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
802023
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