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โšก LLM Efficiency

๐ŸŽž๏ธ ECCV2026 ยท 1 paper notes

๐Ÿ“Œ Same area in other venues: ๐Ÿ“ท CVPR2026 (8) ยท ๐Ÿ”ฌ ICLR2026 (171) ยท ๐Ÿ’ฌ ACL2026 (23) ยท ๐Ÿงช ICML2026 (48) ยท ๐Ÿค– AAAI2026 (9) ยท ๐Ÿง  NeurIPS2025 (34)

ExpoMotion: A Large-Scale Benchmark and A Householder Projection Network for Multi-Exposure Fusion

To tackle the lack of high-fidelity dynamic benchmarks and the propensity of correlation-based fusion to admit ghosting artifacts, this paper presents ExpoMotion, a 1,738-sequence real-world dynamic MEF benchmark, and HOP, a decoupled architecture using Householder orthogonal projections to filter out motion artifacts geometrically while harmonizing global exposures.