new: MANIKIN reveals & overcomes SMPL-based limitations for full-body IK tasks via – a biomechanically-inspired neural-analytical formulation – a neural IK method for predicting body poses from end-effectors European Conference on Computer Vision #ECCV2026 #ECCV2024 Jiaxi Jiang Paul Streli Xuejing Luo ETH CS Department

🔬 My lab at Northwestern has a new website! Visit spice-lab.org to see our latest research from CHI, ECCV & UIST 2024. 🎓 We're recruiting 2 PhD students (fully funded) for Fall 2025! Interested candidates, apply by Dec 1. Please RT to help spread the word!

Releasing EgoSim, a simulator for body-worn cameras. #NeurIPS2024 D&B EgoSim takes real mocap data (e.g., AMASS) and synthesizes multi-modal egocentric videos Plus: MultiEgoView, a real dataset from 6 GoPro cameras and ground-truth 3D poses during several activities (13 people)

#CHI2025 Human-in-the-loop optimization (HiLO) often starts from scratch — slow and inefficient. How can we leverage prior experience to boost HiLO? We introduce Continual HiLO (CHiLO): a framework where computational optimizers learn across users and improve over a lifetime.