6 citations · 20 across the 16 of their papers we have counts for
4 papers · 1 filter
DETRDistill: A Universal Knowledge Distillation Framework for DETR-families
Jiahao Chang, Shuo Wang, Haiming Xu +3
Transformer-based detectors (DETRs) are becoming popular for their simple framework, but the large model size and heavy time consumption hinder their deployment in the real world.…
Towards Domain-agnostic Depth Completion
Guangkai Xu, Wei Yin, Jianming Zhang +4
Existing depth completion methods are often targeted at a specific sparse depth type and generalize poorly across task domains. We present a method to complete sparse/semi-dense, n…
Exploiting Correspondences with All-pairs Correlations for Multi-view Depth Estimation
Kai Cheng, Hao Chen, Wei Yin +2
Multi-view depth estimation plays a critical role in reconstructing and understanding the 3D world. Recent learning-based methods have made significant progress in it. However, mul…
Towards 3D Scene Reconstruction from Locally Scale-Aligned Monocular Video Depth
Guangkai Xu, Wei Yin, Hao Chen +4
Existing monocular depth estimation methods have achieved excellent robustness in diverse scenes, but they can only retrieve affine-invariant depth, up to an unknown scale and shif…