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cs.CV2026
BEV-Denoise: Learning Intrinsic Noise for Accurate Bird's-Eye-View Semantic Segmentation
Dooseop Choi, Kyounghwan An, Kyoung-Wook Min
In this paper, we present a framework dubbed \textbf{BEV-Denoise} that estimates and removes intrinsic noise from learned Bird's-Eye-View (BEV) features to achieve accurate BEV sem…
cs.CV2026
CycleBEV: Regularizing View Transformation Networks via View Cycle Consistency for Bird's-Eye-View Semantic Segmentation
Jeongbin Hong, Dooseop Choi, Taeg-Hyun An +2
Transforming image features from perspective view (PV) space to bird's-eye-view (BEV) space remains challenging in autonomous driving due to depth ambiguity and occlusion. Although…
cs.CV2024
Progressive Query Refinement Framework for Bird's-Eye-View Semantic Segmentation from Surrounding Images
Dooseop Choi, Jungyu Kang, Taeghyun An +2
Expressing images with Multi-Resolution (MR) features has been widely adopted in many computer vision tasks. In this paper, we introduce the MR concept into Bird's-Eye-View (BEV) s…