Siyuan Huang
Orcid: 0009-0005-6363-833XAffiliations:
- Shanghai Jiao Tong University, China
- Shanghai AI Lab, China
According to our database1,
Siyuan Huang
authored at least 21 papers
between 2022 and 2024.
Collaborative distances:
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Bibliography
2024
UniAff: A Unified Representation of Affordances for Tool Usage and Articulation with Vision-Language Models.
CoRR, 2024
SKT: Integrating State-Aware Keypoint Trajectories with Vision-Language Models for Robotic Garment Manipulation.
CoRR, 2024
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions.
CoRR, 2024
CoRR, 2024
Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want.
CoRR, 2024
ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language Models.
CoRR, 2024
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models.
CoRR, 2024
Bridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models.
CoRR, 2023
CoRR, 2023
Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model.
CoRR, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
ADAS: A Simple Active-and-Adaptive Baseline for Cross-Domain 3D Semantic Segmentation.
CoRR, 2022