1 citations · 3 across the 8 of their papers we have counts for
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Bridging Online and Offline Handwriting via Differentiable Physical Rendering
Seonmi Park, Seunghyun Shin, Vihaan Misra +4
Realistic handwritten text generation plays an important role in numerous applications, such as font design, biometric authentication, and robotic calligraphy. Existing methods are…
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…
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,…
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…
FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded Environments
Devansh Dhrafani, Yifei Liu, Andrew Jong +6
Robust depth perception in visually-degraded environments is crucial for autonomous aerial systems. Thermal imaging cameras, which capture infrared radiation, are robust to visual…
VPOcc: Exploiting Vanishing Point for 3D Semantic Occupancy Prediction
Junsu Kim, Junhee Lee, Ukcheol Shin +2
Understanding 3D scenes semantically and spatially is crucial for the safe navigation of robots and autonomous vehicles, aiding obstacle avoidance and accurate trajectory planning.…
Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation
Jaeyeul Kim, Jungwan Woo, Ukcheol Shin +2
Understanding the motion states of the surrounding environment is critical for safe autonomous driving. These motion states can be accurately derived from scene flow, which capture…