49 citations · 128 across the 10 of their papers we have counts for
4 papers · 1 filter
Transformers Meet Visual Learning Understanding: A Comprehensive Review
Yuting Yang, Licheng Jiao, Xu Liu +4
Dynamic attention mechanism and global modeling ability make Transformer show strong feature learning ability. In recent years, Transformer has become comparable to CNNs methods in…
An End-to-End Network for Panoptic Segmentation
Huanyu Liu, Chao Peng, Changqian Yu +4
Panoptic segmentation, which needs to assign a category label to each pixel and segment each object instance simultaneously, is a challenging topic. Traditionally, the existing app…
Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion
Xu Liu, Steven W. Chen, Shreyas Aditya +6
We present a novel fruit counting pipeline that combines deep segmentation, frame to frame tracking, and 3D localization to accurately count visible fruits across a sequence of ima…
Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration
Zheng Tang, Gaoang Wang, Tao Liu +5
Tracking of multiple objects is an important application in AI City geared towards solving salient problems related to safety and congestion in an urban environment. Frequent occlu…