5 citations · 5 across the 6 of their papers we have counts for
7 papers
Trans-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction
Minmin Yang, Huantao Ren, Senem Velipasalar
Cone-beam computed tomography (CBCT) using only a few X-ray projection views enables faster scans with lower radiation dose, but the resulting severe under-sampling causes strong a…
DG-MVP: 3D Domain Generalization via Multiple Views of Point Clouds for Classification
Huantao Ren, Minmin Yang, Senem Velipasalar
Deep neural networks have achieved significant success in 3D point cloud classification while relying on large-scale, annotated point cloud datasets, which are labor-intensive to b…
3D-PointZshotS: Geometry-Aware 3D Point Cloud Zero-Shot Semantic Segmentation Narrowing the Visual-Semantic Gap
Minmin Yang, Huantao Ren, Senem Velipasalar
Existing zero-shot 3D point cloud segmentation methods often struggle with limited transferability from seen classes to unseen classes and from semantic to visual space. To allevia…
LVP-CLIP:Revisiting CLIP for Continual Learning with Label Vector Pool
Yue Ma, Huantao Ren, Boyu Wang +3
Continual learning aims to update a model so that it can sequentially learn new tasks without forgetting previously acquired knowledge. Recent continual learning approaches often l…
GaitPoint+: A Gait Recognition Network Incorporating Point Cloud Analysis and Recycling
Huantao Ren, Jiajing Chen, Senem Velipasalar
Gait is a behavioral biometric modality that can be used to recognize individuals by the way they walk from a far distance. Most existing gait recognition approaches rely on either…
Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models
Weiheng Chai, Brian Testa, Huantao Ren +2
Deep neural networks are extensively applied to real-world tasks, such as face recognition and medical image classification, where privacy and data protection are critical. Image d…
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization
Huan Ren, Wenfei Yang, Tianzhu Zhang +1
Weakly-supervised temporal action localization aims to localize and recognize actions in untrimmed videos with only video-level category labels during training. Without instance-le…