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Shu Tian

2 accepted papers

2025

Joint Feature and Kernel Fusion for Improved Depth-Aware Panoptic Segmentation

ICASSP 2025accepted

Depth-aware Panoptic Segmentation, which combines panoptic segmentation and monocular depth estimation, is a challenging task that requires a comprehensive understanding of both scene geometry and object semantics. Recent multi-task learning approaches have leveraged dynamic kernel methods to tackle…

Cited by 0SourceScholar
2024

Attention Decoupling for Query-Based Object Detection

ICASSP 2024accepted

Benefiting from attention mechanisms, query-based detectors have a strong model capacity. They predict classification and regression by utilizing their shared queries and features in the decoder. Inter-task biases cause multi-directional gradients that disturb each other to limit model optimization.…

Cited by 0SourceScholar