Introduces Normalized Anisotropic Spherical Gabor function for efficient high-frequency view-dependent appearance modeling in radiance fields, claiming superior quality to low-order spherical harmonics with up to 5x better memory efficiency.
Proceedings of the 33rd ACM International Conference on Multimedia (MM '25) , year=
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EmoMM benchmark reveals Video Contribution Collapse in MLLMs for emotion recognition under modality conflict and missingness, mitigated by CHASE head-level attention steering.
citing papers explorer
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Beyond Spherical Harmonics: Rethinking Appearance Models for Radiance Reconstruction
Introduces Normalized Anisotropic Spherical Gabor function for efficient high-frequency view-dependent appearance modeling in radiance fields, claiming superior quality to low-order spherical harmonics with up to 5x better memory efficiency.
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EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and Missingness
EmoMM benchmark reveals Video Contribution Collapse in MLLMs for emotion recognition under modality conflict and missingness, mitigated by CHASE head-level attention steering.