Search Results for author:
Found 8 papers, 3 papers with code
DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection
Furthermore, it serves as an evaluation and benchmarking platform for researchers in digital media forensics to compare the performance of multiple algorithms on the same input.
Fusing Global and Local Features for Generalized AI-Synthesized Image Detection
Specifically, we design a two-branch model to combine global spatial information from the whole image and local informative features from multiple patches selected by a novel patch selection module.
Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition
Graph Convolutional Networks (GCNs) have been widely used to model the high-order dynamic dependencies for skeleton-based action recognition.
Learnable Discrete Wavelet Pooling (LDW-Pooling) For Convolutional Networks
We introduce the Learning Discrete Wavelet Pooling (LDW-Pooling) that can be applied universally to replace standard pooling operations to better extract features with improved accuracy and efficiency.
T$_k$ML-AP: Adversarial Attacks to Top-$k$ Multi-Label Learning
Top-$k$ multi-label learning, which returns the top-$k$ predicted labels from an input, has many practical applications such as image annotation, document analysis, and web search engine.
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning
Top-k multi-label learning, which returns the top-k predicted labels from an input, has many practical applications such as image annotation, document analysis, and web search engine.
Multi-Scale Supervised Network for Human Pose Estimation
Human pose estimation is an important topic in computer vision with many applications including gesture and activity recognition.
Multi-Scale Structure-Aware Network for Human Pose Estimation
We develop a robust multi-scale structure-aware neural network for human pose estimation.
Ranked #13 on
Pose Estimation
on MPII Human Pose
