activity
20152021
most citedDo Convolutional Neural Networks Learn Class Hierarchy?

211 citations · 665 across the 20 of their papers we have counts for

collaborators

51 papers

cs.CV20211 cited

Radar-Camera Pixel Depth Association for Depth Completion

Yunfei Long, Daniel Morris, Xiaoming Liu +3

While radar and video data can be readily fused at the detection level, fusing them at the pixel level is potentially more beneficial. This is also more challenging in part due to…

cs.CV20213 cited

Riggable 3D Face Reconstruction via In-Network Optimization

Ziqian Bai, Zhaopeng Cui, Xiaoming Liu +1

This paper presents a method for riggable 3D face reconstruction from monocular images, which jointly estimates a personalized face rig and per-image parameters including expressio…

cs.CV20215 cited

Unified Detection of Digital and Physical Face Attacks

Debayan Deb, Xiaoming Liu, Anil K. Jain

State-of-the-art defense mechanisms against face attacks achieve near perfect accuracies within one of three attack categories, namely adversarial, digital manipulation, or physica…

cs.CV2021

Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction

Feng Liu, Luan Tran, Xiaoming Liu

Inferring 3D structure of a generic object from a 2D image is a long-standing objective of computer vision. Conventional approaches either learn completely from CAD-generated synth…

cs.CV2021

Depth Completion with Twin Surface Extrapolation at Occlusion Boundaries

Saif Imran, Xiaoming Liu, Daniel Morris

Depth completion starts from a sparse set of known depth values and estimates the unknown depths for the remaining image pixels. Most methods model this as depth interpolation and…

cs.CV2021

Towards High Fidelity Face Relighting with Realistic Shadows

Andrew Hou, Ze Zhang, Michel Sarkis +3

Existing face relighting methods often struggle with two problems: maintaining the local facial details of the subject and accurately removing and synthesizing shadows in the relit…