113 citations · 207 across the 21 of their papers we have counts for
7 papers · 1 filter
Identity Preserve Transform: Understand What Activity Classification Models Have Learnt
Jialing Lyu, Weichao Qiu, Xinyue Wei +3
Activity classification has observed great success recently. The performance on small dataset is almost saturated and people are moving towards larger datasets. What leads to the p…
Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints
Pengfei Li, Weichao Qiu, Michael Peven +2
Scene context is a powerful constraint on the geometry of objects within the scene in cases, such as surveillance, where the camera geometry is unknown and image quality may be poo…
RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition
Yi Zhang, Xinyue Wei, Weichao Qiu +3
Despite the rapid growth in datasets for video activity, stable robust activity recognition with neural networks remains challenging. This is in large part due to the explosion of…
Learning from Synthetic Animals
Jiteng Mu, Weichao Qiu, Gregory Hager +1
Despite great success in human parsing, progress for parsing other deformable articulated objects, like animals, is still limited by the lack of labeled data. In this paper, we use…
DASZL: Dynamic Action Signatures for Zero-shot Learning
Tae Soo Kim, Jonathan D. Jones, Michael Peven +6
There are many realistic applications of activity recognition where the set of potential activity descriptions is combinatorially large. This makes end-to-end supervised training o…
Identifying Model Weakness with Adversarial Examiner
Michelle Shu, Chenxi Liu, Weichao Qiu +1
Machine learning models are usually evaluated according to the average case performance on the test set. However, this is not always ideal, because in some sensitive domains (e.g.…
Patch-based 3D Human Pose Refinement
Qingfu Wan, Weichao Qiu, Alan L. Yuille
State-of-the-art 3D human pose estimation approaches typically estimate pose from the entire RGB image in a single forward run. In this paper, we develop a post-processing step to…