23 citations · 70 across the 12 of their papers we have counts for
17 papers · 1 filter
Learning Normal Dynamics in Videos with Meta Prototype Network
Hui Lv, Chen Chen, Zhen Cui +3
Frame reconstruction (current or future frame) based on Auto-Encoder (AE) is a popular method for video anomaly detection. With models trained on the normal data, the reconstructio…
Enhanced 3D Human Pose Estimation from Videos by using Attention-Based Neural Network with Dilated Convolutions
Ruixu Liu, Ju Shen, He Wang +3
The attention mechanism provides a sequential prediction framework for learning spatial models with enhanced implicit temporal consistency. In this work, we show a systematic desig…
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…