317 citations · 585 across the 22 of their papers we have counts for
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LaserMix for Semi-Supervised LiDAR Semantic Segmentation
Lingdong Kong, Jiawei Ren, Liang Pan +1
Densely annotating LiDAR point clouds is costly, which restrains the scalability of fully-supervised learning methods. In this work, we study the underexplored semi-supervised lear…
Sparse Mixture-of-Experts are Domain Generalizable Learners
Bo Li, Yifei Shen, Jingkang Yang +5
Human visual perception can easily generalize to out-of-distributed visual data, which is far beyond the capability of modern machine learning models. Domain generalization (DG) ai…
Balanced MSE for Imbalanced Visual Regression
Jiawei Ren, Mingyuan Zhang, Cunjun Yu +1
Data imbalance exists ubiquitously in real-world visual regressions, e.g., age estimation and pose estimation, hurting the model's generalizability and fairness. Thus, imbalanced r…
Benchmarking and Analyzing Point Cloud Classification under Corruptions
Jiawei Ren, Liang Pan, Ziwei Liu
3D perception, especially point cloud classification, has achieved substantial progress. However, in real-world deployment, point cloud corruptions are inevitable due to the scene…