Li Jiang

Orcid: 0000-0001-7058-6957

Affiliations:
  • Chinese University of Hong Kong, Shenzhen, China
  • Max Planck Institute for Informatics, Saarbrücken, Germany (2021 - 2023)
  • Chinese University of Hong Kong, Hong Kong (PhD 2021)


According to our database1, Li Jiang authored at least 34 papers between 2018 and 2024.

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Timeline

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Bibliography

2024
MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation.
CoRR, 2024

GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding.
CoRR, 2024

GiT: Towards Generalist Vision Transformer through Universal Language Interface.
CoRR, 2024

2023
Adaptive Perspective Distillation for Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection.
Int. J. Comput. Vis., 2023

Point Transformer V3: Simpler, Faster, Stronger.
CoRR, 2023

FreePoint: Unsupervised Point Cloud Instance Segmentation.
CoRR, 2023

EXPERT: EXPloiting DRAM ERror Types to Improve the Effective Forecasting Coverage in the Field.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Context-Aware Classifier for Semantic Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge - Motion Prediction.
CoRR, 2022

DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Indoor Semantic Segmentation.
CoRR, 2022

Motion Transformer with Global Intention Localization and Local Movement Refinement.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Point Transformer V2: Grouped Vector Attention and Partition-based Pooling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Boosting 3D Object Detection by Simulating Multimodality on Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Unified Query-based Paradigm for Point Cloud Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Generalized Few-shot Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Stratified Transformer for 3D Point Cloud Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Point Transformer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Bidirectional Projection Network for Cross Dimension Scene Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Generalized Few-Shot Semantic Segmentation.
CoRR, 2020

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Amodal Instance Segmentation With KINS Dataset.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction.
Proceedings of the Computer Vision - ECCV 2018, 2018


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