3 citations · 3 across the 4 of their papers we have counts for
4 papers
Universal Latent Homeomorphic Manifolds: A Framework for Cross-Domain Representation Unification
Tong Wu, Tayab Uddin Wara, Daniel Hernandez +1
We present the Universal Latent Homeomorphic Manifold (ULHM), a framework that unifies semantic representations (e.g., human descriptions, diagnostic labels) and observation-driven…
Geometric Mean Improves Loss For Few-Shot Learning
Tong Wu, Takumi Kobayashi
Few-shot learning (FSL) is a challenging task in machine learning, demanding a model to render discriminative classification by using only a few labeled samples. In the literature…
DIDLM: A SLAM Dataset for Difficult Scenarios Featuring Infrared, Depth Cameras, LIDAR, 4D Radar, and Others under Adverse Weather, Low Light Conditions, and Rough Roads
Weisheng Gong, Chen He, Kaijie Su +3
Adverse weather conditions, low-light environments, and bumpy road surfaces pose significant challenges to SLAM in robotic navigation and autonomous driving. Existing datasets in t…
Depth Estimation Algorithm Based on Transformer-Encoder and Feature Fusion
Linhan Xia, Junbang Liu, Tong Wu
This research presents a novel depth estimation algorithm based on a Transformer-encoder architecture, tailored for the NYU and KITTI Depth Dataset. This research adopts a transfor…