780 citations · 1.6k across the 54 of their papers we have counts for
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Head-Tail Cooperative Learning Network for Unbiased Scene Graph Generation
Lei Wang, Zejian Yuan, Yao Lu +1
Scene Graph Generation (SGG) as a critical task in image understanding, facing the challenge of head-biased prediction caused by the long-tail distribution of predicates. However,…
Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation
Yuehai Chen, Jing Yang, Badong Chen +1
In real-world crowd counting applications, the crowd densities in an image vary greatly. When facing density variation, humans tend to locate and count the targets in low-density r…
Region-Aware Network: Model Human's Top-Down Visual Perception Mechanism for Crowd Counting
Yuehai Chen, Jing Yang, Dong Zhang +3
Background noise and scale variation are common problems that have been long recognized in crowd counting. Humans glance at a crowd image and instantly know the approximate number…
Robust Motion Averaging under Maximum Correntropy Criterion
Jihua Zhu, Jie Hu, Huimin Lu +2
Recently, the motion averaging method has been introduced as an effective means to solve the multi-view registration problem. This method aims to recover global motions from a set…
Consistency-aware Shading Orders Selective Fusion for Intrinsic Image Decomposition
Yuanliu Liu, Ang Li, Zejian Yuan +2
We address the problem of decomposing a single image into reflectance and shading. The difficulty comes from the fact that the components of image---the surface albedo, the direct…
A Novel Brain Decoding Method: a Correlation Network Framework for Revealing Brain Connections
Siyu Yu, Nanning Zheng, Yongqiang Ma +2
Brain decoding is a hot spot in cognitive science, which focuses on reconstructing perceptual images from brain activities. Analyzing the correlations of collected data from human…
Associations among Image Assessments as Cost Functions in Linear Decomposition: MSE, SSIM, and Correlation Coefficient
Jianji Wang, Nanning Zheng, Badong Chen +1
The traditional methods of image assessment, such as mean squared error (MSE), signal-to-noise ratio (SNR), and Peak signal-to-noise ratio (PSNR), are all based on the absolute err…
Brain Inspired Cognitive Model with Attention for Self-Driving Cars
Shitao Chen, Songyi Zhang, Jinghao Shang +2
Perception-driven approach and end-to-end system are two major vision-based frameworks for self-driving cars. However, it is difficult to introduce attention and historical informa…