4 papers
Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning
Ruihan Liu, Yu Ji, Jianbo Yu +2
Tensor-valued prediction is fundamental to geometric deep learning, yet uncertainty quantification (UQ) for such outputs remains an open challenge. While E(3)-equivariant neural ne…
IPEC: Test-Time Incremental Prototype Enhancement Classifier for Few-Shot Learning
Wenwen Liao, Hang Ruan, Jianbo Yu +3
Metric-based few-shot approaches have gained significant popularity due to their relatively straightforward implementation, high interpret ability, and computational efficiency. Ho…
Enhancing Visual In-Context Learning by Multi-Faceted Fusion
Wenwen Liao, Jianbo Yu, Yuansong Wang +2
Visual In-Context Learning (VICL) has emerged as a powerful paradigm, enabling models to perform novel visual tasks by learning from in-context examples. The dominant "retrieve-the…
InfoSculpt: Sculpting the Latent Space for Generalized Category Discovery
Wenwen Liao, Hang Ruan, Jianbo Yu +3
Generalized Category Discovery (GCD) aims to classify instances from both known and novel categories within a large-scale unlabeled dataset, a critical yet challenging task for rea…