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Shan-Ya Yang

2 accepted papers

2025

A Key to Effective Multi-task Learning: Separate Query Selection for Task-Synergized Handling and Node Utilization

ICASSP 2025accepted

In the realm of computer vision, effectively handling multi-tasks simultaneously presents a challenge that necessitates innovative solutions. To better address multiple vision problems, we introduce SeTano, an integrated Graph Neural Network (GNN)-based framework. This framework comprises a Dynamic…

Cited by 0SourceScholar
2022

Investigation of Factorized Optical Flows as Mid-Level Representations

IROS 2022poster

In this paper, we introduce a new concept of incorporating factorized flow maps as mid-level representations, for bridging the perception and the control modules in modular learning based robotic frameworks. To investigate the advantages of factorized flow maps and examine their interplay with the o…

Cited by 2SourceScholar