33 citations · 225 across the 29 of their papers we have counts for
30 papers
Learning to Upsample by Learning to Sample
Wenze Liu, Hao Lu, Hongtao Fu +1
We present DySample, an ultra-lightweight and effective dynamic upsampler. While impressive performance gains have been witnessed from recent kernel-based dynamic upsamplers such a…
Point-Query Quadtree for Crowd Counting, Localization, and More
Chengxin Liu, Hao Lu, Zhiguo Cao +1
We show that crowd counting can be viewed as a decomposable point querying process. This formulation enables arbitrary points as input and jointly reasons whether the points are cr…
Fast Full-frame Video Stabilization with Iterative Optimization
Weiyue Zhao, Xin Li, Zhan Peng +4
Video stabilization refers to the problem of transforming a shaky video into a visually pleasing one. The question of how to strike a good trade-off between visual quality and comp…
Box-DETR: Understanding and Boxing Conditional Spatial Queries
Wenze Liu, Hao Lu, Yuliang Liu +1
Conditional spatial queries are recently introduced into DEtection TRansformer (DETR) to accelerate convergence. In DAB-DETR, such queries are modulated by the so-called conditiona…
On Point Affiliation in Feature Upsampling
Wenze Liu, Hao Lu, Yuliang Liu +1
We introduce the notion of point affiliation into feature upsampling. By abstracting a feature map into non-overlapped semantic clusters formed by points of identical semantic mean…
Learning Probabilistic Coordinate Fields for Robust Correspondences
Weiyue Zhao, Hao Lu, Xinyi Ye +2
We introduce Probabilistic Coordinate Fields (PCFs), a novel geometric-invariant coordinate representation for image correspondence problems. In contrast to standard Cartesian coor…