Most automated driving systems comprise a diverse sensor set, including
...
In this paper, we develop rotation-equivariant neural networks for 4D
pa...
Recent advances in 3D object detection (3DOD) have obtained remarkably s...
We present DejaVu, a novel framework which leverages conditional image
r...
Test-time adaptive (TTA) semantic segmentation adapts a source pre-train...
Bird's-eye-view (BEV) grid is a common representation for the perception...
Though the state-of-the architectures for semantic segmentation, such as...
This paper presents a novel framework to integrate both semantic and ins...
While deeply supervised networks are common in recent literature, they
t...
In this paper, we propose a novel method, X-Distill, to improve the
self...
In this paper, we present a novel perceptual consistency perspective on ...
In video segmentation, generating temporally consistent results across f...
We present a novel boundary-aware loss term for semantic segmentation us...