3 citations · 4 across the 3 of their papers we have counts for
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cs.CV2024
Depth Prompting for Sensor-Agnostic Depth Estimation
Jin-Hwi Park, Chanhwi Jeong, Junoh Lee +1
Dense depth maps have been used as a key element of visual perception tasks. There have been tremendous efforts to enhance the depth quality, ranging from optimization-based to lea…
cs.CV2022★ 1 cited
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…
cs.CV2022★ 3 cited
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…