activity
20162022
most citedHierarchical Neural Architecture Search for Deep Stereo Matching

230 citations · 707 across the 40 of their papers we have counts for

collaborators

60 papers

cs.CV20222 cited

Linear Video Transformer with Feature Fixation

Kaiyue Lu, Zexiang Liu, Jianyuan Wang +8

Vision Transformers have achieved impressive performance in video classification, while suffering from the quadratic complexity caused by the Softmax attention mechanism. Some stud…

cs.CV20222 cited

Rolling Shutter Inversion: Bring Rolling Shutter Images to High Framerate Global Shutter Video

Bin Fan, Yuchao Dai, Hongdong Li

A single rolling-shutter (RS) image may be viewed as a row-wise combination of a sequence of global-shutter (GS) images captured by a (virtual) moving GS camera within the exposure…

cs.CV2022

Context-Aware Video Reconstruction for Rolling Shutter Cameras

Bin Fan, Yuchao Dai, Zhiyuan Zhang +2

With the ubiquity of rolling shutter (RS) cameras, it is becoming increasingly attractive to recover the latent global shutter (GS) video from two consecutive RS frames, which also…

cs.CV20228 cited

A Representation Separation Perspective to Correspondences-free Unsupervised 3D Point Cloud Registration

Zhiyuan Zhang, Jiadai Sun, Yuchao Dai +3

3D point cloud registration in remote sensing field has been greatly advanced by deep learning based methods, where the rigid transformation is either directly regressed from the t…

cs.CV202150 cited

Simultaneously Localize, Segment and Rank the Camouflaged Objects

Yunqiu Lv, Jing Zhang, Yuchao Dai +4

Camouflage is a key defence mechanism across species that is critical to survival. Common strategies for camouflage include background matching, imitating the color and pattern of…

cs.CV202113 cited

CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching

Zhelun Shen, Yuchao Dai, Zhibo Rao

Recently, the ever-increasing capacity of large-scale annotated datasets has led to profound progress in stereo matching. However, most of these successes are limited to a specific…