72 citations · 176 across the 18 of their papers we have counts for
6 papers · 1 filter
Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning
Ahmed Hatem, Yiming Qian, Yang Wang
Affordable 3D scanners often produce sparse and non-uniform point clouds that negatively impact downstream applications in robotic systems. While existing point cloud upsampling ar…
Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning
Ahmed Hatem, Yiming Qian, Yang Wang
We present Point-TTA, a novel test-time adaptation framework for point cloud registration (PCR) that improves the generalization and the performance of registration models. While l…
RoSI: Recovering 3D Shape Interiors from Few Articulation Images
Akshay Gadi Patil, Yiming Qian, Shan Yang +3
The dominant majority of 3D models that appear in gaming, VR/AR, and those we use to train geometric deep learning algorithms are incomplete, since they are modeled as surface mesh…
Learning to Recover Spectral Reflectance from RGB Images
Dong Huo, Jian Wang, Yiming Qian +1
This paper tackles spectral reflectance recovery (SRR) from RGB images. Since capturing ground-truth spectral reflectance and camera spectral sensitivity are challenging and costly…
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers
Hugo Lemarchant, Liangzi Li, Yiming Qian +2
Vision Transformers (ViTs) are becoming a very popular paradigm for vision tasks as they achieve state-of-the-art performance on image classification. However, although early works…
HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling
Fenggen Yu, Yiming Qian, Francisca Gil-Ureta +3
We present the first active learning tool for fine-grained 3D part labeling, a problem which challenges even the most advanced deep learning (DL) methods due to the significant str…