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Ching-Yu Tseng

2 accepted papers

2023

CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection

ICRA 2023poster

To achieve accurate 3D object detection at a low cost for autonomous driving, many multi-camera methods have been proposed and solved the occlusion problem of monocular approaches. However, due to the lack of accurate estimated depth, existing multi-camera methods often generate multiple bounding bo…

Cited by 11SourcecodeScholar
2023

Revisiting Depth-guided Methods for Monocular 3D Object Detection by Hierarchical Balanced Depth

CoRL 2023poster

Monocular 3D object detection has seen significant advancements with the incorporation of depth information. However, there remains a considerable performance gap compared to LiDAR-based methods, largely due to inaccurate depth estimation. We argue that this issue stems from the commonly used pixel-…

Cited by 1SourceScholar