activity
20192022
most citedJPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting

34 citations · 105 across the 13 of their papers we have counts for

collaborators

20 papers

cs.CV20224 cited

Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement

Shuangzhi Li, Zhijie Wang, Felix Juefei-Xu +3

Object detection through LiDAR-based point cloud has recently been important in autonomous driving. Although achieving high accuracy on public benchmarks, the state-of-the-art dete…

cs.CV202212 cited

DARTSRepair: Core-failure-set Guided DARTS for Network Robustness to Common Corruptions

Xuhong Ren, Jianlang Chen, Felix Juefei-Xu +5

Network architecture search (NAS), in particular the differentiable architecture search (DARTS) method, has shown a great power to learn excellent model architectures on the specif…

cs.LG20225 cited

NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks

Xiaofei Xie, Tianlin Li, Jian Wang +4

Deep learning has recently been widely applied to many applications across different domains, e.g., image classification and audio recognition. However, the quality of Deep Neural…

cs.CV20221 cited

Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency Deraining

Qing Guo, Jingyang Sun, Felix Juefei-Xu +4

Deraining is a significant and fundamental computer vision task, aiming to remove the rain streaks and accumulations in an image or video captured under a rainy day. Existing derai…

cs.CV2021

CarveNet: Carving Point-Block for Complex 3D Shape Completion

Qing Guo, Zhijie Wang, Felix Juefei-Xu +4

3D point cloud completion is very challenging because it heavily relies on the accurate understanding of the complex 3D shapes (e.g., high-curvature, concave/convex, and hollowed-o…

cs.IT2021

Bidirectional Approximate Message Passing for RIS-Assisted Multi-User MISO Communications

Li Wei, Chongwen Huang, Qinghua Guo +3

Reconfigurable intelligent surfaces (RISs) have been recently considered as a promising candidate for energy-efficient solutions in future wireless networks. Their dynamic and lowp…