research
∙
03/22/2023
Music-Driven Group Choreography
Music-driven choreography is a challenging problem with a wide variety o...
share
research
∙
03/17/2023
Style Transfer for 2D Talking Head Animation
Audio-driven talking head animation is a challenging research topic with...
research
∙
03/11/2023
Addressing Non-IID Problem in Federated Autonomous Driving with Contrastive Divergence Loss
Federated learning has been widely applied in autonomous driving since i...
research
∙
09/21/2022
Uncertainty-aware Label Distribution Learning for Facial Expression Recognition
Despite significant progress over the past few years, ambiguity is still...
research
∙
07/20/2022
Multigraph Topology Design for Cross-Silo Federated Learning
Cross-silo federated learning utilizes a few hundred reliable data silos...
research
∙
05/21/2022
Fine-Grained Visual Classification using Self Assessment Classifier
Extracting discriminative features plays a crucial role in the fine-grai...
research
∙
10/12/2021
Deep Federated Learning for Autonomous Driving
Autonomous driving is an active research topic in both academia and indu...
research
∙
10/06/2021
Coarse-to-Fine Reasoning for Visual Question Answering
Bridging the semantic gap between image and question is an important ste...
research
∙
10/04/2021
Light-weight Deformable Registration using Adversarial Learning with Distilling Knowledge
Deformable registration is a crucial step in many medical procedures suc...
research
∙
05/19/2021
Multiple Meta-model Quantifying for Medical Visual Question Answering
Transfer learning is an important step to extract meaningful features an...
research
∙
04/14/2021
Graph-based Person Signature for Person Re-Identifications
The task of person re-identification (ReID) is to match images of the sa...
research
∙
09/23/2020
Multiple interaction learning with question-type prior knowledge for constraining answer search space in visual question answering
Different approaches have been proposed to Visual Question Answering (VQ...
research
∙
09/09/2020
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding
Unsupervised Deep Distance Metric Learning (UDML) aims to learn sample s...
research
∙
07/31/2020
Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network
Autonomous navigation in complex environments is a crucial task in time-...
research
∙
09/26/2019
Compact Trilinear Interaction for Visual Question Answering
In Visual Question Answering (VQA), answers have a great correlation wit...
research
∙
09/26/2019