Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Scalability, Pattern recognition (psychology), Computer vision, and Robustness (evolution).
Detecting Everything in the Open World: Towards Universal Object Detection
Towards Scalable Neural Representation for Diverse Videos
ObjectFormer for Image Manipulation Detection and Localization
MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning
Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions
Totems: Physical Objects for Verifying Visual Integrity
On Feature Normalization and Data Augmentation
Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation
A Metric Learning Reality Check
Cross-X Learning for Fine-Grained Visual Categorization
Enhancing Adversarial Example Transferability With an Intermediate Level Attack