Shengyi Qian

Orcid: 0000-0003-0262-2412

Affiliations:
  • University of Michigan, Ann Arbor, MI, USA


According to our database1, Shengyi Qian authored at least 17 papers between 2019 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Multi-Object Hallucination in Vision-Language Models.
CoRR, 2024

3D-MVP: 3D Multiview Pretraining for Robotic Manipulation.
CoRR, 2024

Multimodal Graph Benchmark.
CoRR, 2024

3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination.
CoRR, 2024

LinkGPT: Teaching Large Language Models To Predict Missing Links.
CoRR, 2024

Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

AffordanceLLM: Grounding Affordance from Vision Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks.
CoRR, 2023

Sound Localization from Motion: Jointly Learning Sound Direction and Camera Rotation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Understanding 3D Object Interaction from a Single Image.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Understanding 3D Object Articulation in Internet Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Recognizing Scenes from Novel Viewpoints.
CoRR, 2021

Planar Surface Reconstruction from Sparse Views.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Associative3D: Volumetric Reconstruction from Sparse Views.
Proceedings of the Computer Vision - ECCV 2020, 2020

OASIS: A Large-Scale Dataset for Single Image 3D in the Wild.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning Single-Image Depth From Videos Using Quality Assessment Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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