14 citations · 25 across the 8 of their papers we have counts for
8 papers
Video Understanding: From Geometry and Semantics to Unified Models
Zhaochong An, Zirui Li, Mingqiao Ye +9
Video understanding aims to enable models to perceive, reason about, and interact with the dynamic visual world. In contrast to image understanding, video understanding inherently…
SCOPE: Scene-Contextualized Incremental Few-Shot 3D Segmentation
Vishal Thengane, Zhaochong An, Tianjin Huang +5
Incremental Few-Shot (IFS) segmentation aims to learn new categories over time from only a few annotations. Although widely studied in 2D, it remains underexplored for 3D point clo…
Periodontal Bone Loss Analysis via Keypoint Detection With Heuristic Post-Processing
Ryan Banks, Vishal Thengane, María Eugenia Guerrero +4
This study proposes a deep learning framework and annotation methodology for the automatic detection of periodontal bone loss landmarks, associated conditions, and staging. 192 per…
CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation
Vishal Thengane, Jean Lahoud, Hisham Cholakkal +4
While 3D instance segmentation (3DIS) has advanced significantly, most existing methods assume that all object classes are known in advance and uniformly distributed. However, this…
Foundational Models for 3D Point Clouds: A Survey and Outlook
Vishal Thengane, Xiatian Zhu, Salim Bouzerdoum +2
The 3D point cloud representation plays a crucial role in preserving the geometric fidelity of the physical world, enabling more accurate complex 3D environments. While humans natu…
Gradient Correlation Subspace Learning against Catastrophic Forgetting
Tammuz Dubnov, Vishal Thengane
Efficient continual learning techniques have been a topic of significant research over the last few years. A fundamental problem with such learning is severe degradation of perform…
Strong Gravitational Lensing Parameter Estimation with Vision Transformer
Kuan-Wei Huang, Geoff Chih-Fan Chen, Po-Wen Chang +4
Quantifying the parameters and corresponding uncertainties of hundreds of strongly lensed quasar systems holds the key to resolving one of the most important scientific questions:…
CLIP model is an Efficient Continual Learner
Vishal Thengane, Salman Khan, Munawar Hayat +1
The continual learning setting aims to learn new tasks over time without forgetting the previous ones. The literature reports several significant efforts to tackle this problem wit…