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Inferring Intentions to Speak Using Accelerometer Data In-the-Wild

Autor: Li, Litian, Molhoek, Jord, Zhou, Jing

Humans have good natural intuition to recognize when another person has something to say. It would be interesting if an AI can also recognize intentions to speak. Especially in scenarios when an AI is guiding a group discussion, this can be a useful

Externí odkaz: http://arxiv.org/abs/2401.05849

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Butterfly: Multiple Reference Frames Feature Propagation Mechanism for Neural Video Compression

Autor: Wang, Feng, Ruan, Haihang, Xiong, Fei, Yang, Jiayu, Li, Litian, Wang, Ronggang

Using more reference frames can significantly improve the compression efficiency in neural video compression. However, in low-latency scenarios, most existing neural video compression frameworks usually use the previous one frame as reference. Or a f

Externí odkaz: http://arxiv.org/abs/2303.02959

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Improving Multi-generation Robustness of Learned Image Compression

Autor: Li, Litian, Yang, Zheng, Wang, Ronggang

Benefit from flexible network designs and end-to-end joint optimization approach, learned image compression (LIC) has demonstrated excellent coding performance and practical feasibility in recent years. However, existing compression models suffer fro

Externí odkaz: http://arxiv.org/abs/2210.17039

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