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659 papers
Learning from synthetic photorealistic raindrop for single image raindrop removal
Zhixiang Hao, Shaodi You, Yu Li +2
Raindrops adhered to camera lens or windshield are inevitable in rainy scenes and can become an issue for many computer vision systems such as autonomous driving. Because raindrop…
Learning Robot Visual Navigation in Crowds via Intention-Aware Scene Representations
Han Bao, Bingyi Xia, Hanjing Ye +5
Robot crowd navigation requires the ability to infer human intentions while accounting for the structural constraints of the environment. Currently, deep reinforcement learning (DR…
Spatio-Temporal Correlation Guided Geometric Partitioning for Versatile Video Coding
Xuewei Meng, Chuanmin Jia, Xinfeng Zhang +2
Geometric partitioning has attracted increasing attention by its remarkable motion field description capability in the hybrid video coding framework. However, the existing geometri…
Deformable Wiener Filter for Future Video Coding
Xuewei Meng, Chuanmin Jia, Xinfeng Zhang +2
In-loop filters have attracted increasing attention due to the remarkable noise-reduction capability in the hybrid video coding framework. However, the existing in-loop filters in…
A Novel Immune Algorithm for Multiparty Multiobjective Optimization
Kesheng Chen, Wenjian Luo, Qi Zhou +3
Traditional multiobjective optimization problems (MOPs) are insufficiently equipped for scenarios involving multiple decision makers (DMs), which are prevalent in many practical ap…
Enhancing cosmological constraints with nonlinear tanh transformations of Hermite-Gaussian Derivative fields
Zhiwei Min, Ye Ma, Zhujun Jiang +4
A key goal in large-scale structure analysis is to extract multi-scale information to improve cosmological parameter constraints. In particular, higher-order derivative fields are…