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20242026
most citedMoSE: Skill-by-Skill Mixture-of-Experts Learning for Embodied Autonomous Machines

1 citations · 2 across the 7 of their papers we have counts for

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cs.CV2025

Diffusion Transformer meets Multi-level Wavelet Spectrum for Single Image Super-Resolution

Peng Du, Hui Li, Han Xu +5

Discrete Wavelet Transform (DWT) has been widely explored to enhance the performance of image superresolution (SR). Despite some DWT-based methods improving SR by capturing fine-gr…

cs.CV2025

3D Occupancy Prediction with Low-Resolution Queries via Prototype-aware View Transformation

Gyeongrok Oh, Sungjune Kim, Heeju Ko +7

The resolution of voxel queries significantly influences the quality of view transformation in camera-based 3D occupancy prediction. However, computational constraints and the prac…

cs.CV2024

Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation

Nayeon Kim, Hongje Seong, Daehyun Ji +1

Predicting and constructing road geometric information (e.g., lane lines, road markers) is a crucial task for safe autonomous driving, while such static map elements can be repeate…

cs.CV2024

Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection

Gyusam Chang, Jiwon Lee, Donghyun Kim +5

Recent advances in 3D object detection leveraging multi-view cameras have demonstrated their practical and economical value in various challenging vision tasks. However, typical su…

cs.CV20241 cited

CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection

Gyusam Chang, Wonseok Roh, Sujin Jang +6

Recent LiDAR-based 3D Object Detection (3DOD) methods show promising results, but they often do not generalize well to target domains outside the source (or training) data distribu…