Jiangmiao Pang

Orcid: 0000-0002-6711-9319

According to our database1, Jiangmiao Pang authored at least 43 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
RoboKeyGen: Robot Pose and Joint Angles Estimation via Diffusion-based 3D Keypoint Generation.
CoRR, 2024

RoboDuet: A Framework Affording Mobile-Manipulation and Cross-Embodiment.
CoRR, 2024

GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction.
CoRR, 2024

Multi-Object Tracking by Hierarchical Visual Representations.
CoRR, 2024

Mixed Gaussian Flow for Diverse Trajectory Prediction.
CoRR, 2024

2023
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Self-Adversarial Disentangling for Specific Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Context-Aware Mixup for Domain Adaptive Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol., February, 2023

EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI.
CoRR, 2023

Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response.
CoRR, 2023

Understanding Masked Autoencoders From a Local Contrastive Perspective.
CoRR, 2023

Unified Human-Scene Interaction via Prompted Chain-of-Contacts.
CoRR, 2023

PointLLM: Empowering Large Language Models to Understand Point Clouds.
CoRR, 2023

Transformer-Based Visual Segmentation: A Survey.
CoRR, 2023

Position-Guided Point Cloud Panoptic Segmentation Transformer.
CoRR, 2023

Tube-Link: A Flexible Cross Tube Baseline for Universal Video Segmentation.
CoRR, 2023

OV-PARTS: Towards Open-Vocabulary Part Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dense Distinct Query for End-to-End Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking.
Proceedings of the Conference on Robot Learning, 2023

2022
What Are Expected Queries in End-to-End Object Detection?
CoRR, 2022

Dense Siamese Network.
CoRR, 2022

Dense Siamese Network for Dense Unsupervised Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Monocular 3D Object Detection with Depth from Motion.
Proceedings of the Computer Vision - ECCV 2022, 2022

Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Towards Balanced Learning for Instance Recognition.
Int. J. Comput. Vis., 2021

Self-Adversarial Disentangling for Specific Domain Adaptation.
CoRR, 2021

K-Net: Towards Unified Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Seesaw Loss for Long-Tailed Instance Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Quasi-Dense Similarity Learning for Multiple Object Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Probabilistic and Geometric Depth: Detecting Objects in Perspective.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Quasi-Dense Instance Similarity Learning.
CoRR, 2020

Side-Aware Boundary Localization for More Precise Object Detection.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
ℛ <sup>2</sup>-CNN: Fast Tiny Object Detection in Large-Scale Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2019

MMDetection: Open MMLab Detection Toolbox and Benchmark.
CoRR, 2019

$\mathcal{R}^2$-CNN: Fast Tiny Object Detection in Large-scale Remote Sensing Images.
CoRR, 2019

Adapting Object Detectors via Selective Cross-Domain Alignment.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Libra R-CNN: Towards Balanced Learning for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Hybrid Task Cascade for Instance Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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