25 citations · 69 across the 7 of their papers we have counts for
7 papers
Symmetry-Aware 9D Pose Estimation with Sim(3)-Consistent Feature and Spherical Inception Convolution
Panfei Cheng, Hongshan Yu, Wenrui Chen +3
Object pose estimation is a fundamental problem for an agent system to perceive or manipulate objects in images or videos. However, current instance-level methods struggle with gen…
Adversarial Attack on Skeleton-based Human Action Recognition
Jian Liu, Naveed Akhtar, Ajmal Mian
Deep learning models achieve impressive performance for skeleton-based human action recognition. However, the robustness of these models to adversarial attacks remains largely unex…
Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular Video
Jian Liu, Naveed Akhtar, Ajmal Mian
Advances in Deep Learning have recently made it possible to recover full 3D meshes of human poses from individual images. However, extension of this notion to videos for recovering…
Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition
Jian Liu, Naveed Akhtar, Ajmal Mian
Human skeleton joints are popular for action analysis since they can be easily extracted from videos to discard background noises. However, current skeleton representations do not…
Defense against Universal Adversarial Perturbations
Naveed Akhtar, Jian Liu, Ajmal Mian
Recent advances in Deep Learning show the existence of image-agnostic quasi-imperceptible perturbations that when applied to `any' image can fool a state-of-the-art network classif…
Viewpoint Invariant Action Recognition using RGB-D Videos
Jian Liu, Naveed Akhtar, Ajmal Mian
In video-based action recognition, viewpoint variations often pose major challenges because the same actions can appear different from different views. We use the complementary RGB…
Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition
Jian Liu, Naveed Akhtar, Ajmal Mian
We propose Human Pose Models that represent RGB and depth images of human poses independent of clothing textures, backgrounds, lighting conditions, body shapes and camera viewpoint…