1 citations · 3 across the 8 of their papers we have counts for
8 papers
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…
Learning Quadrupedal Locomotion with Impaired Joints Using Random Joint Masking
Mincheol Kim, Ukcheol Shin, Jung-Yup Kim
Quadrupedal robots have played a crucial role in various environments, from structured environments to complex harsh terrains, thanks to their agile locomotion ability. However, th…