3 citations · 4 across the 3 of their papers we have counts for
4 papers
PIAvatar: Physically Interactive Avatars via Deformation Gradient Decoupling
Sang-Hun Han, Min-Gyu Park, Jisu Shin +3
3D human avatars have shown impressive visual fidelity driven by pose-conditioned models, yet they still lack the physical ability required for interactions with each other and env…
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…
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…
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…