5 papers
Avatar4D: Synthesizing Domain-Specific 4D Humans for Real-World Pose Estimation
Jerrin Bright, Zhibo Wang, Dmytro Klepachevskyi +4
We present Avatar4D, a real-world transferable pipeline for generating customizable synthetic human motion datasets tailored to domain-specific applications. Unlike prior works, wh…
DreamPose3D: Hallucinative Diffusion with Prompt Learning for 3D Human Pose Estimation
Jerrin Bright, Yuhao Chen, John S. Zelek
Accurate 3D human pose estimation remains a critical yet unresolved challenge, requiring both temporal coherence across frames and fine-grained modeling of joint relationships. How…
Ice Hockey Puck Localization Using Contextual Cues
Liam Salass, Jerrin Bright, Amir Nazemi +3
Puck detection in ice hockey broadcast videos poses significant challenges due to the puck's small size, frequent occlusions, motion blur, broadcast artifacts, and scale inconsiste…
Gen4D: Synthesizing Humans and Scenes in the Wild
Jerrin Bright, Zhibo Wang, Yuhao Chen +3
Lack of input data for in-the-wild activities often results in low performance across various computer vision tasks. This challenge is particularly pronounced in uncommon human-cen…
SportMamba: Adaptive Non-Linear Multi-Object Tracking with State Space Models for Team Sports
Dheeraj Khanna, Jerrin Bright, Yuhao Chen +1
Multi-object tracking (MOT) in team sports is particularly challenging due to the fast-paced motion and frequent occlusions resulting in motion blur and identity switches, respecti…