1 citations · 3 across the 12 of their papers we have counts for
8 papers · 1 filter
Natural Language Fine-Tuning
Jia Liu, Yue Wang, Zhiqi Lin +3
Large language model fine-tuning techniques typically depend on extensive labeled data, external guidance, and feedback, such as human alignment, scalar rewards, and demonstration.…
Fancy123: One Image to High-Quality 3D Mesh Generation via Plug-and-Play Deformation
Qiao Yu, Xianzhi Li, Yuan Tang +4
Generating 3D meshes from a single image is an important but ill-posed task. Existing methods mainly adopt 2D multiview diffusion models to generate intermediate multiview images,…
DCMAC: Demand-aware Customized Multi-Agent Communication via Upper Bound Training
Dongkun Huo, Huateng Zhang, Yixue Hao +4
Efficient communication can enhance the overall performance of collaborative multi-agent reinforcement learning. A common approach is to share observations through full communicati…
More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding
Yuan Tang, Xu Han, Xianzhi Li +5
Enabling Large Language Models (LLMs) to comprehend the 3D physical world remains a significant challenge. Due to the lack of large-scale 3D-text pair datasets, the success of LLMs…
Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression Recognition
Kai Shao, Rui Wang, Yixue Hao +3
Depression recognition based on physiological signals such as functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG) has made considerable progress. However,…
PointDreamer: Zero-shot 3D Textured Mesh Reconstruction from Colored Point Cloud
Qiao Yu, Xianzhi Li, Yuan Tang +4
Faithfully reconstructing textured meshes is crucial for many applications. Compared to text or image modalities, leveraging 3D colored point clouds as input (colored-PC-to-mesh) o…
MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors
Yuan Tang, Xu Han, Xianzhi Li +4
Large 2D vision-language models (2D-LLMs) have gained significant attention by bridging Large Language Models (LLMs) with images using a simple projector. Inspired by their success…
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation
Jinfeng Xu, Siyuan Yang, Xianzhi Li +4
Existing point cloud semantic segmentation networks cannot identify unknown classes and update their knowledge, due to a closed-set and static perspective of the real world, which…