22 citations · 46 across the 10 of their papers we have counts for
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cs.IT2023
Block-Level Interference Exploitation Precoding for MU-MISO: An ADMM Approach
Yiran Wang, Yunsi Wen, Ang Li +2
We study constructive interference based block-level precoding (CI-BLP) in the downlink of multi-user multiple-input single-output (MU-MISO) systems. Specifically, our aim is to ex…
cs.CV2023★ 9 cited
Diffusion-Augmented Depth Prediction with Sparse Annotations
Jiaqi Li, Yiran Wang, Zihao Huang +4
Depth estimation aims to predict dense depth maps. In autonomous driving scenes, sparsity of annotations makes the task challenging. Supervised models produce concave objects due t…
cs.CV2023★ 2 cited
NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation
Yiran Wang, Min Shi, Jiaqi Li +7
Video depth estimation aims to infer temporally consistent depth. One approach is to finetune a single-image model on each video with geometry constraints, which proves inefficient…