Semantic segmentation in autonomous driving has been undergoing an evolu...
3D human pose estimation in outdoor environments has garnered increasing...
3D scene understanding plays a vital role in vision-based autonomous dri...
Modern methods for vision-centric autonomous driving perception widely a...
Deep learning has revolutionized human society, yet the black-box nature...
This paper proposes a probabilistic deep metric learning (PDML) framewor...
Data mixing strategies (e.g., CutMix) have shown the ability to greatly
...
The pretrain-finetune paradigm in modern computer vision facilitates the...
3D object detection with surrounding cameras has been a promising direct...
In this paper, we present BEVerse, a unified framework for 3D perception...
This paper proposes an introspective deep metric learning (IDML) framewo...
Depth estimation from images serves as the fundamental step of 3D percep...
This paper proposes an attributable visual similarity learning (AVSL)
fr...
This paper presents a deep relational metric learning (DRML) framework f...
This paper presents a hardness-aware deep metric learning (HDML) framewo...