1 citations · 2 across the 5 of their papers we have counts for
5 papers
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
Hanrong Ye, Dan Xu
Recently, there has been an increased interest in the practical problem of learning multiple dense scene understanding tasks from partially annotated data, where each training samp…
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts
Hanrong Ye, Dan Xu
Learning discriminative task-specific features simultaneously for multiple distinct tasks is a fundamental problem in multi-task learning. Recent state-of-the-art models consider d…
Contrastive Multi-Task Dense Prediction
Siwei Yang, Hanrong Ye, Dan Xu
This paper targets the problem of multi-task dense prediction which aims to achieve simultaneous learning and inference on a bunch of multiple dense prediction tasks in a single fr…
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding
Hanrong Ye, Dan Xu
Multi-task scene understanding aims to design models that can simultaneously predict several scene understanding tasks with one versatile model. Previous studies typically process…
Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation
Hanrong Ye, Dan Xu
This report serves as a supplementary document for TaskPrompter, detailing its implementation on a new joint 2D-3D multi-task learning benchmark based on Cityscapes-3D. TaskPrompte…