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20172021
most citedAn Efficient 3D CNN for Action/Object Segmentation in Video

23 citations · 70 across the 12 of their papers we have counts for

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Showing 2020Show all

11 papers · 1 filter

cs.CV202010 cited

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…

cs.CV20208 cited

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…

cs.CV20205 cited

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.…

cs.CV20208 cited

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…

eess.IV20202 cited

Lightweight image super-resolution with enhanced CNN

Chunwei Tian, Ruibin Zhuge, Zhihao Wu +4

Deep convolutional neural networks (CNNs) with strong expressive ability have achieved impressive performances on single image super-resolution (SISR). However, their excessive amo…

cs.CV2020

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…