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20202022
most citedMulti-View Adaptive Fusion Network for 3D Object Detection

24 citations · 79 across the 9 of their papers we have counts for

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9 papers · 1 filter

cs.CV20222 cited

The scope for AI-augmented interpretation of building blueprints in commercial and industrial property insurance

Long Chen, Mao Ye, Alistair Milne +2

This report, commissioned by the WTW research network, investigates the use of AI in property risk assessment. It (i) reviews existing work on risk assessment in commercial and ind…

cs.CV20213 cited

Class balanced underwater object detection dataset generated by class-wise style augmentation

Long Chen, Junyu Dong, Huiyu Zhou

Underwater object detection technique is of great significance for various applications in underwater the scenes. However, class imbalance issue is still an unsolved bottleneck for…

cs.CV202024 cited

Multi-View Adaptive Fusion Network for 3D Object Detection

Guojun Wang, Bin Tian, Yachen Zhang +3

3D object detection based on LiDAR-camera fusion is becoming an emerging research theme for autonomous driving. However, it has been surprisingly difficult to effectively fuse both…

cs.CV2020

Structured Context Enhancement Network for Mouse Pose Estimation

Feixiang Zhou, Zheheng Jiang, Zhihua Liu +8

Automated analysis of mouse behaviours is crucial for many applications in neuroscience. However, quantifying mouse behaviours from videos or images remains a challenging problem,…

cs.CV202014 cited

Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning

Xuehui Wang, Qing Wang, Yuzhi Zhao +3

Despite convolutional network-based methods have boosted the performance of single image super-resolution (SISR), the huge computation costs restrict their practical applicability.…

cs.CV20207 cited

Perceptual underwater image enhancement with deep learning and physical priors

Long Chen, Zheheng Jiang, Lei Tong +5

Underwater image enhancement, as a pre-processing step to improve the accuracy of the following object detection task, has drawn considerable attention in the field of underwater n…