Ruogu Li

2 accepted papers

2026

Co-Me: Confidence Guided Token Merging for Visual Geometric Transformers

Yutian Chen, Yuheng Qiu, Ruogu Li, Jay Patrikar, Sebastian Scherer

CVPR 2026

We propose Confidence-Guided Token Merging (Co-Me), an acceleration mechanism for visual geometric transformers without retraining or finetuning the base model. Co-Me distilled a light-weight confidence predictor to rank tokens by uncertainty and selectively merge low-confidence ones, effectively re

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2026

SldprtNet: A Large-Scale Multimodal Dataset for CAD Generation in Language-Driven 3D Design

Ruogu Li, Sikai Li, Yao Mu, Mingyu Ding

ICRA 2026poster

We introduce SldprtNet, a large-scale dataset comprising over 242,000 industrial parts, designed for semantic-driven CAD modeling, geometric deep learning, and the training/fine-tuning of multimodal models for 3D design. The dataset provides 3D models in both .step and .sldprt formats to support di-…

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