157 citations · 193 across the 3 of their papers we have counts for
4 papers
Long-term Visual Map Sparsification with Heterogeneous GNN
Ming-Fang Chang, Yipu Zhao, Rajvi Shah +3
We address the problem of map sparsification for long-term visual localization. For map sparsification, a commonly employed assumption is that the pre-build map and the later captu…
Distilling Object Detectors with Feature Richness
Zhixing Du, Rui Zhang, Ming Chang +4
In recent years, large-scale deep models have achieved great success, but the huge computational complexity and massive storage requirements make it a great challenge to deploy the…
Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy +8
We present Argoverse -- two datasets designed to support autonomous vehicle machine learning tasks such as 3D tracking and motion forecasting. Argoverse was collected by a fleet of…
Deep Component Analysis via Alternating Direction Neural Networks
Calvin Murdock, Ming-Fang Chang, Simon Lucey
Despite a lack of theoretical understanding, deep neural networks have achieved unparalleled performance in a wide range of applications. On the other hand, shallow representation…