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20142023
most citedObject Detectors Emerge in Deep Scene CNNs

715 citations · 1k across the 14 of their papers we have counts for

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8 papers · 1 filter

cs.CV202279 cited

CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

Runsheng Xu, Zhengzhong Tu, Hao Xiang +3

Bird's eye view (BEV) semantic segmentation plays a crucial role in spatial sensing for autonomous driving. Although recent literature has made significant progress on BEV map unde…

cs.CV20222 cited

AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection

Zehui Chen, Zhenyu Li, Shiquan Zhang +5

Object detection through either RGB images or the LiDAR point clouds has been extensively explored in autonomous driving. However, it remains challenging to make these two data sou…

cs.CV20212 cited

3D-aware Image Synthesis via Learning Structural and Textural Representations

Yinghao Xu, Sida Peng, Ceyuan Yang +2

Making generative models 3D-aware bridges the 2D image space and the 3D physical world yet remains challenging. Recent attempts equip a Generative Adversarial Network (GAN) with a…

cs.CV20216 cited

Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition

Yinghao Xu, Fangyun Wei, Xiao Sun +5

Semi-supervised action recognition is a challenging but important task due to the high cost of data annotation. A common approach to this problem is to assign unlabeled data with p…

cs.CV20215 cited

Improving GAN Equilibrium by Raising Spatial Awareness

Jianyuan Wang, Ceyuan Yang, Yinghao Xu +3

The success of Generative Adversarial Networks (GANs) is largely built upon the adversarial training between a generator (G) and a discriminator (D). They are expected to reach a c…

cs.CV2016175 cited

Places: An Image Database for Deep Scene Understanding

Bolei Zhou, Aditya Khosla, Agata Lapedriza +2

The rise of multi-million-item dataset initiatives has enabled data-hungry machine learning algorithms to reach near-human semantic classification at tasks such as object and scene…