Global-Local Attention for Context-aware Emotion Recognition (Part 2)
Propose new method for emotion recognition by jointly learn both the facial information and the salient information of the surrounding context.
type: researchlevel: mediumGlobal-Local Attention for Context-aware Emotion Recognition (Part 1)
Propose new method for emotion recognition by jointly learn both the facial information and the salient information of the surrounding context.
type: researchlevel: mediumUncertainty-aware Label Distribution Learning for Facial Expression Recognition (Part 2)
Experimental results of our proposed Uncertainty-aware Label Distribution Learning for Facial Expression Recognition.
type: researchAIComputer VisionUncertainty-aware Label Distribution Learning for Facial Expression Recognition (Part 1)
Using Label Distribution Learning technique to address the ambiguity problem in facial expression when people express multiple emotions on their faces.
type: researchAIComputer VisionLight-weight Deformable Registration using Adversarial Learning with Distilling Knowledge (Part 3)
Experimental Details and Ablation Studies.
type: postAIComputer VisionDeformable RegistrationDistillation LearningMedicalLight-weight Deformable Registration using Adversarial Learning with Distilling Knowledge (Part 2)
Technical Details of Light-weight Deformable Registration network.
type: postAIComputer VisionDeformable RegistrationDistillation LearningMedicalLight-weight Deformable Registration using Adversarial Learning with Distilling Knowledge
We introduce a new Light-weight Deformable Registration network that significantly reduces the computational cost while achieving competitive accuracy.
type: postAIComputer VisionDeformable RegistrationDistillation LearningMedicalMedical Visual Question Answering Challenges
Discuss about the challenges in Medical VQA
type: postAIMedical VQAVisual Question AnsweringChallengesMultiple Meta-model Quantifying for Medical Visual Question Answering
A new multiple meta-model quantifying method that effectively learns meta-annotation and leverages meaningful features to the medical VQA task
type: postAIComputer VisionVQAMeta-learningMedicalFederated Learning, Challenges and Hot Trends for research
Discussion about Challenges and Hot Trends in Federated Learning for research
type: postAIFederated Learning