👥 Social Computing

🎞️ ECCV2026 · 2 paper notes

📌 Same area in other venues: 📷 CVPR2026 (3) · 🔬 ICLR2026 (17) · 💬 ACL2026 (45) · 🧪 ICML2026 (9) · 🤖 AAAI2026 (10) · 🧠 NeurIPS2025 (20)

Coarse-to-fine Contrast: A Hybrid Self-supervised Method for Non-rigid 3D Shape Matching

This paper introduces a coarse-to-fine hybrid self-supervised framework for non-rigid 3D shape matching that enforces consistency between coarse soft maps and multi-scale refined hard correspondences across symmetric Laplacian and elastic basis branches, eliminating computationally expensive least-squares solvers and test-time fine-tuning while achieving state-of-the-art accuracy.

MED-LCDS: Multi-Expert-Domain CLIP Classification via Logit Calibration

To resolve cross-domain interference and artificial overconfidence caused by heterogeneous logit scales when merging independently trained LoRA experts into a unified vision-language model, MED-DSLC (MED-LCDS) combines domain-supervised mixture-of-experts routing with learnable domain-wise temperature calibration, effectively restoring global logit comparability across unified label spaces.