5 papers
Point Ladder Tuning: Parameter-Efficient Hierarchical Adaptation for 3D Point Cloud Understanding
Junlin Chang, Longhao Zou, Rui Li
Fine-tuning pre-trained point-cloud backbones typically updates all parameters, resulting in substantial computation and memory overhead. More importantly, modern point backbones r…
Transmit Weights, Not Features: Orthogonal-Basis Aided Wireless Point-Cloud Transmission
Junlin Chang, Yubo Han, Hang Yue +2
The widespread adoption of depth sensors has substantially lowered the barrier to point-cloud acquisition. This letter proposes a semantic wireless transmission framework for three…
Bidirectional Regression for Monocular 6DoF Head Pose Estimation and Reference System Alignment
Sungho Chun, Boeun Kim, Hyung Jin Chang +1
Precise six-degree-of-freedom (6DoF) head pose estimation is crucial for safety-critical applications and human-computer interaction scenarios, yet existing monocular methods still…
3D Dental Model Segmentation with Geometrical Boundary Preserving
Shufan Xi, Zexian Liu, Junlin Chang +3
3D intraoral scan mesh is widely used in digital dentistry diagnosis, segmenting 3D intraoral scan mesh is a critical preliminary task. Numerous approaches have been devised for pr…
PersonaBooth: Personalized Text-to-Motion Generation
Boeun Kim, Hea In Jeong, JungHoon Sung +8
This paper introduces Motion Personalization, a new task that generates personalized motions aligned with text descriptions using several basic motions containing Persona. To suppo…