84 citations · 113 across the 13 of their papers we have counts for
5 papers · 1 filter
Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance
Jihwan Bae, Junwon Seo, Taekyung Kim +3
Traversability estimation for mobile robots in off-road environments requires more than conventional semantic segmentation used in constrained environments like on-road conditions.…
Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction
Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon
Modeling the dynamics of people walking is a problem of long-standing interest in computer vision. Many previous works involving pedestrian trajectory prediction define a particula…
Learning Depth from Focus in the Wild
Changyeon Won, Hae-Gon Jeon
For better photography, most recent commercial cameras including smartphones have either adopted large-aperture lens to collect more light or used a burst mode to take multiple ima…
AI-based automated Meibomian gland segmentation, classification and reflection correction in infrared Meibography
Ripon Kumar Saha, A. M. Mahmud Chowdhury, Kyung-Sun Na +6
Purpose: Develop a deep learning-based automated method to segment meibomian glands (MG) and eyelids, quantitatively analyze the MG area and MG ratio, estimate the meiboscore, and…
Non-Probability Sampling Network for Stochastic Human Trajectory Prediction
Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon
Capturing multimodal natures is essential for stochastic pedestrian trajectory prediction, to infer a finite set of future trajectories. The inferred trajectories are based on obse…