Jihan Yang

According to our database1, Jihan Yang authored at least 19 papers between 2018 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.
CoRR, 2024

Can 3D Vision-Language Models Truly Understand Natural Language?
CoRR, 2024

V-IRL: Grounding Virtual Intelligence in Real Life.
Proceedings of the Computer Vision - ECCV 2024, 2024

RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
ST3D++: Denoised Self-Training for Unsupervised Domain Adaptation on 3D Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding.
CoRR, 2023

PLA: Language-Driven Open-Vocabulary 3D Scene Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Language-driven Open-Vocabulary 3D Scene Understanding.
CoRR, 2022

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

Towards Efficient 3D Object Detection with Knowledge Distillation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges.
CoRR, 2020

An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach.
CoRR, 2018


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