activity
20202025
most citedAI-Generated Content (AIGC) for Various Data Modalities: A Survey

13 citations · 30 across the 18 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 1 cited

DiffPose: Toward More Reliable 3D Pose Estimation

Jia Gong, Lin Geng Foo, Zhipeng Fan +3

Monocular 3D human pose estimation is quite challenging due to the inherent ambiguity and occlusion, which often lead to high uncertainty and indeterminacy. On the other hand, diff…

cs.CV2022

Improving the Reliability for Confidence Estimation

Haoxuan Qu, Yanchao Li, Lin Geng Foo +3

Confidence estimation, a task that aims to evaluate the trustworthiness of the model's prediction output during deployment, has received lots of research attention recently, due to…

cs.CV2022★ 7 cited

Heatmap Distribution Matching for Human Pose Estimation

Haoxuan Qu, Li Xu, Yujun Cai +2

For tackling the task of 2D human pose estimation, the great majority of the recent methods regard this task as a heatmap estimation problem, and optimize the heatmap prediction us…

cs.CV2022★ 1 cited

Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition

Tianjiao Li, Lin Geng Foo, Qiuhong Ke +4

The goal of fine-grained action recognition is to successfully discriminate between action categories with subtle differences. To tackle this, we derive inspiration from the human…

cs.CV2022★ 1 cited

ERA: Expert Retrieval and Assembly for Early Action Prediction

Lin Geng Foo, Tianjiao Li, Hossein Rahmani +2

Early action prediction aims to successfully predict the class label of an action before it is completely performed. This is a challenging task because the beginning stages of diff…