49 citations · 202 across the 24 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.CV2021★ 2 cited
Direct Differentiable Augmentation Search
Aoming Liu, Zehao Huang, Zhiwu Huang +1
Data augmentation has been an indispensable tool to improve the performance of deep neural networks, however the augmentation can hardly transfer among different tasks and datasets…
cs.CV2021★ 12 cited
Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking
Jiawei He, Zehao Huang, Naiyan Wang +1
Data association across frames is at the core of Multiple Object Tracking (MOT) task. This problem is usually solved by a traditional graph-based optimization or directly learned v…
cs.CV2021★ 21 cited
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
Chenhongyi Yang, Zehao Huang, Naiyan Wang
While general object detection with deep learning has achieved great success in the past few years, the performance and efficiency of detecting small objects are far from satisfact…