📈 Time Series

🎞️ ECCV2026 · 3 paper notes

📌 Same area in other venues: 📷 CVPR2026 (7) · 🔬 ICLR2026 (121) · 💬 ACL2026 (8) · 🧪 ICML2026 (45) · 🤖 AAAI2026 (31) · 🧠 NeurIPS2025 (54)

Video2Reaction: Mapping Video to Audience Reaction Distribution in the Wild

Addressing the challenge of predicting diverse and non-stationary viewer emotional responses to video content in the wild, this paper presents Video2Reaction—the first large-scale benchmark comprising 10,348 movie clips (389 hours) paired with 21-class fine-grained audience reaction distributions derived from social media comments—supported by a scalable two-stage multi-agent LLM annotation pipeline and comprehensive evaluations showing that finetuned vision-language models substantially outperform classical distribution baselines.

Forecasting Animal Motion

By establishing dense point trajectories as visual tokens for behavior modeling and combining local DINOv3 visual features with a camera motion compensation pipeline, this work introduces a diffusion transformer (DiT) architecture over unordered trajectory sets to forecast complex non-rigid wild animal motion across diverse species without category-specific 3D priors.

PMGC-SimVP: Parametric Multi-scale Gated Convolution for Global Ionospheric TEC Prediction

To tackle severe non-stationarity and pronounced latitudinal heterogeneity in global ionospheric Total Electron Content (TEC) under space weather disturbances, this paper proposes PMGC-SimVP, a purely convolutional framework featuring a two-stage low-rank temporal adapter, latitudinally structured parameter modulation, and dual-baseline residual learning, slashing parameters by over 90% while significantly boosting storm-time forecasting accuracy and long-horizon stability.