14 citations · 17 across the 4 of their papers we have counts for
5 papers
Incorporation of density scaling constraint in density functional design via contrastive representation learning
Weiyi Gong, Tao Sun, Hexin Bai +7
In a data-driven paradigm, machine learning (ML) is the central component for developing accurate and universal exchange-correlation (XC) functionals in density functional theory (…
GMOT-40: A Benchmark for Generic Multiple Object Tracking
Hexin Bai, Wensheng Cheng, Peng Chu +3
Multiple Object Tracking (MOT) has witnessed remarkable advances in recent years. However, existing studies dominantly request prior knowledge of the tracking target, and hence may…
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
Heng Fan, Hexin Bai, Liting Lin +11
Despite great recent advances in visual tracking, its further development, including both algorithm design and evaluation, is limited due to lack of dedicated large-scale benchmark…
Graph Neural Network for Hamiltonian-Based Material Property Prediction
Hexin Bai, Peng Chu, Jeng-Yuan Tsai +4
Development of next-generation electronic devices for applications call for the discovery of quantum materials hosting novel electronic, magnetic, and topological properties. Tradi…
LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking
Heng Fan, Liting Lin, Fan Yang +7
In this paper, we present LaSOT, a high-quality benchmark for Large-scale Single Object Tracking. LaSOT consists of 1,400 sequences with more than 3.5M frames in total. Each frame…