406 citations · 2.5k across the 53 of their papers we have counts for
9 papers · 1 filter
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…
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images
Vishal Asnani, Xi Yin, Tal Hassner +1
State-of-the-art (SOTA) Generative Models (GMs) can synthesize photo-realistic images that are hard for humans to distinguish from genuine photos. Identifying and understanding man…
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…
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…
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…
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…
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…
GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
Abhinav Kumar, Garrick Brazil, Xiaoming Liu
Modern 3D object detectors have immensely benefited from the end-to-end learning idea. However, most of them use a post-processing algorithm called Non-Maximal Suppression (NMS) on…
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization
Xiaohong Liu, Yaojie Liu, Jun Chen +1
To defend against manipulation of image content, such as splicing, copy-move, and removal, we develop a Progressive Spatio-Channel Correlation Network (PSCC-Net) to detect and loca…