2 citations · 7 across the 8 of their papers we have counts for
4 papers · 1 filter
SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey
Kien X. Nguyen, Fengchun Qiao, Arthur Trembanis +1
A major obstacle to the advancements of machine learning models in marine science, particularly in sonar imagery analysis, is the scarcity of AI-ready datasets. While there have be…
DEAL: Disentangle and Localize Concept-level Explanations for VLMs
Tang Li, Mengmeng Ma, Xi Peng
Large pre-trained Vision-Language Models (VLMs) have become ubiquitous foundational components of other models and downstream tasks. Although powerful, our empirical results reveal…
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
Mengmeng Ma, Tang Li, Xi Peng
Federated Learning is widely employed to tackle distributed sensitive data. Existing methods primarily focus on addressing in-federation data heterogeneity. However, we observed th…
Adaptive Cascading Network for Continual Test-Time Adaptation
Kien X. Nguyen, Fengchun Qiao, Xi Peng
We study the problem of continual test-time adaption where the goal is to adapt a source pre-trained model to a sequence of unlabelled target domains at test time. Existing methods…