23 citations · 70 across the 12 of their papers we have counts for
10 papers · 2 filters
A3D: Adaptive 3D Networks for Video Action Recognition
Sijie Zhu, Taojiannan Yang, Matias Mendieta +1
This paper presents A3D, an adaptive 3D network that can infer at a wide range of computational constraints with one-time training. Instead of training multiple models in a grid-se…
Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery
Yu Shen, Sijie Zhu, Taojiannan Yang +1
Fast and effective responses are required when a natural disaster (e.g., earthquake, hurricane, etc.) strikes. Building damage assessment from satellite imagery is critical before…
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection
Weiping Yu, Taojiannan Yang, Chen Chen
Existing methods for object detection in UAV images ignored an important challenge - imbalanced class distribution in UAV images - which leads to poor performance on tail classes.…
VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval
Sijie Zhu, Taojiannan Yang, Chen Chen
Cross-view image geo-localization aims to determine the locations of street-view query images by matching with GPS-tagged reference images from aerial view. Recent works have achie…
GradAug: A New Regularization Method for Deep Neural Networks
Taojiannan Yang, Sijie Zhu, Chen Chen
We propose a new regularization method to alleviate over-fitting in deep neural networks. The key idea is utilizing randomly transformed training samples to regularize a set of sub…
CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks
Li'an Zhuo, Baochang Zhang, Hanlin Chen +4
Neural architecture search (NAS) proves to be among the best approaches for many tasks by generating an application-adaptive neural architecture, which is still challenged by high…