23 citations · 35 across the 7 of their papers we have counts for
8 papers
Grounded Human-Attributed Description and Activity Recognition in Videos
Jay N. Paranjape, Jurijs Nazarovs, Rohan Sarkar +5
Understanding characteristics and activities of individuals in complex multi-person environments is crucial for real-world applications. However, existing datasets often simplify t…
DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection
Yan Ju, Chengzhe Sun, Shan Jia +7
Deepfakes, as AI-generated media, have increasingly threatened media integrity and personal privacy with realistic yet fake digital content. In this work, we introduce an open-sour…
Fusing Global and Local Features for Generalized AI-Synthesized Image Detection
Yan Ju, Shan Jia, Lipeng Ke +3
With the development of the Generative Adversarial Networks (GANs) and DeepFakes, AI-synthesized images are now of such high quality that humans can hardly distinguish them from re…
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition
Lipeng Ke, Kuan-Chuan Peng, Siwei Lyu
Graph Convolutional Networks (GCNs) have been widely used to model the high-order dynamic dependencies for skeleton-based action recognition. Most existing approaches do not explic…
Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks
Bor-Shiun Wang, Jun-Wei Hsieh, Ming-Ching Chang +3
Pooling is a simple but essential layer in modern deep CNN architectures for feature aggregation and extraction. Typical CNN design focuses on the conv layers and activation functi…
TML-AP: Adversarial Attacks to Top- Multi-Label Learning
Shu Hu, Lipeng Ke, Xin Wang +1
Top- multi-label learning, which returns the top- predicted labels from an input, has many practical applications such as image annotation, document analysis, and web search…
Multi-Scale Supervised Network for Human Pose Estimation
Lipeng Ke, Ming-Ching Chang, Honggang Qi +1
Human pose estimation is an important topic in computer vision with many applications including gesture and activity recognition. However, pose estimation from image is challenging…
Multi-Scale Structure-Aware Network for Human Pose Estimation
Lipeng Ke, Ming-Ching Chang, Honggang Qi +1
We develop a robust multi-scale structure-aware neural network for human pose estimation. This method improves the recent deep conv-deconv hourglass models with four key improvemen…