activity
20182023
most citedFAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking

27 citations · 126 across the 18 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 1 cited

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…

cs.CV2020★ 14 cited

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…

cs.CV2020★ 13 cited

Feature Space Augmentation for Long-Tailed Data

Peng Chu, Xiao Bian, Shaopeng Liu +1

Real-world data often follow a long-tailed distribution as the frequency of each class is typically different. For example, a dataset can have a large number of under-represented c…

cs.CV2020★ 1 cited

Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images

Ruining Deng, Haichun Yang, Aadarsh Jha +4

There has been a long pursuit for precise and reproducible glomerular quantification on renal pathology to leverage both research and practice. When digitizing the biopsy tissue sa…

physics.comp-ph2020

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…