Search Results for author:
Found 8 papers, 3 papers with code
Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Reinforcement Learning (RL)-based control system has received considerable attention in recent decades.
Semi-Supervised Crowd Counting from Unlabeled Data
Our method achieved competitive performance in semi-supervised learning approaches on these crowd counting datasets.
Query Twice: Dual Mixture Attention Meta Learning for Video Summarization
Video summarization aims to select representative frames to retain high-level information, which is usually solved by predicting the segment-wise importance score via a softmax function.
Dual-reference Age Synthesis
Age synthesis methods typically take a single image as input and use a specific number to control the age of the generated image.
Order Matters: Shuffling Sequence Generation for Video Prediction
Predicting future frames in natural video sequences is a new challenge that is receiving increasing attention in the computer vision community.
Robust Cross-View Gait Recognition with Evidence: A Discriminant Gait GAN (DiGGAN) Approach
Gait as a biometric trait has attracted much attention in many security and privacy applications such as identity recognition and authentication, during the last few decades.
Dual-reference Face Retrieval
Face retrieval has received much attention over the past few decades, and many efforts have been made in retrieving face images against pose, illumination, and expression variations.
