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cs.CV2025
All-day Depth Completion via Thermal-LiDAR Fusion
Janghyun Kim, Minseong Kweon, Jinsun Park +1
Depth completion, which estimates dense depth from sparse LiDAR and RGB images, has demonstrated outstanding performance in well-lit conditions. However, due to the limitations of…
cs.CV2025★ 1 cited
Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and Challenges
Ukcheol Shin, Jinsun Park
Achieving robust and accurate spatial perception under adverse weather and lighting conditions is crucial for the high-level autonomy of self-driving vehicles and robots. However,…
cs.CV2025★ 1 cited
Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning
Ukcheol Shin, Kyunghyun Lee, Jean Oh
Deploying depth estimation networks in the real world requires high-level robustness against various adverse conditions to ensure safe and reliable autonomy. For this purpose, many…