1 citations · 1 across the 8 of their papers we have counts for
10 papers
OmniDex: Scaling Dexterous Hand Grasping to Diverse Cluttered Scenes
Naiyu Fang, Zhongjin Luo, Yuxin Mo +7
Dexterous grasping is the foundational primitive in embodied AI, demanding massive data to train robust models. As real-world data collection is expensive, simulation has become th…
Hierarchical Advantage Weighting for Online RL Fine-Tuning of VLAs from Sparse Episode Outcomes
Tongyan Fang, Siyuan Huang, Naiyu Fang +6
When pretrained VLA policies are fine-tuned through online RL, each rollout episode produces only a single binary outcome (success or failure), yet the actor update requires per-tr…
CAD-Judge: Toward Efficient Morphological Grading and Verification for Text-to-CAD Generation
Zheyuan Zhou, Jiayi Han, Liang Du +3
Computer-Aided Design (CAD) models are widely used across industrial design, simulation, and manufacturing processes. Text-to-CAD systems aim to generate editable, general-purpose…
DSOcc: Leveraging Depth Awareness and Semantic Aid to Boost Camera-Based 3D Semantic Occupancy Prediction
Naiyu Fang, Zheyuan Zhou, Kang Wang +5
Camera-based 3D semantic occupancy prediction offers an efficient and cost-effective solution for perceiving surrounding scenes in autonomous driving. However, existing works rely…
OccLE: Label-Efficient 3D Semantic Occupancy Prediction
Naiyu Fang, Zheyuan Zhou, Fayao Liu +5
3D semantic occupancy prediction offers an intuitive and efficient scene understanding and has attracted significant interest in autonomous driving perception. Existing approaches…
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection
Zheyuan Zhou, Le Wang, Naiyu Fang +3
3D anomaly detection plays a crucial role in monitoring parts for localized inherent defects in precision manufacturing. Embedding-based and reconstruction-based approaches are amo…
A Novel Garment Transfer Method Supervised by Distilled Knowledge of Virtual Try-on Model
Naiyu Fang, Lemiao Qiu, Shuyou Zhang +3
This paper proposes a novel garment transfer method supervised with knowledge distillation from virtual try-on. Our method first reasons the transfer parsing to provide shape prior…
GSDC Transformer: An Efficient and Effective Cue Fusion for Monocular Multi-Frame Depth Estimation
Naiyu Fang, Lemiao Qiu, Shuyou Zhang +3
Depth estimation provides an alternative approach for perceiving 3D information in autonomous driving. Monocular depth estimation, whether with single-frame or multi-frame inputs,…
PG-VTON: A Novel Image-Based Virtual Try-On Method via Progressive Inference Paradigm
Naiyu Fang, Lemiao Qiu, Shuyou Zhang +2
Virtual try-on is a promising computer vision topic with a high commercial value wherein a new garment is visually worn on a person with a photo-realistic effect. Previous studies…
A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation
Naiyu Fang, Lemiao Qiu, Shuyou Zhang +3
As bird's-eye-view (BEV) semantic segmentation is simple-to-visualize and easy-to-handle, it has been applied in autonomous driving to provide the surrounding information to downst…