Jianhua Sun

Orcid: 0000-0002-1030-5575

Affiliations:
  • Shanghai Jiao Tong University, Shanghai, China


According to our database1, Jianhua Sun authored at least 11 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Discovering Conceptual Knowledge with Analytic Ontology Templates for Articulated Objects.
CoRR, 2024

2023
Modality Exploration, Retrieval and Adaptation for Trajectory Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

InstaBoost++: Visual Coherence Principles for Unified 2D/3D Instance Level Data Augmentation.
Int. J. Comput. Vis., October, 2023

Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stimulus Verification is a Universal and Effective Sampler in Multi-modal Human Trajectory Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Unified and Fast Human Trajectory Prediction Via Conditionally Parameterized Normalizing Flow.
IEEE Robotics Autom. Lett., 2022

Human Trajectory Prediction with Momentary Observation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Correlation Field for Boosting 3D Object Detection in Structured Scenes.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Recursive Social Behavior Graph for Trajectory Prediction.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


  Loading...