✨Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systems

📝 Summary:
Simulstream is an open-source toolkit for evaluating and demonstrating streaming speech-to-text translation. It supports long-form audio, incremental decoding, and re-translation, plus offers an interactive demo interface.

🔹 Publication Date: Published on Dec 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.17648
• PDF: https://arxiv.org/pdf/2512.17648
• Project Page: https://pypi.org/project/simulstream/

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#SpeechToText #MachineTranslation #NLP #OpenSource #StreamingAI

✨InfiniteVGGT: Visual Geometry Grounded Transformer for Endless Streams

📝 Summary:
InfiniteVGGT enables continuous 3D visual geometry understanding for infinite streams. It uses a causal transformer with adaptive rolling memory for long-term stability, outperforming existing streaming methods. A new Long3D benchmark is introduced for rigorous evaluation of such systems.

🔹 Publication Date: Published on Jan 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.02281
• PDF: https://arxiv.org/pdf/2601.02281
• Github: https://github.com/AutoLab-SAI-SJTU/InfiniteVGGT

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#VisualGeometry #3DVision #Transformers #StreamingAI #DeepLearning

✨Think While Watching: Online Streaming Segment-Level Memory for Multi-Turn Video Reasoning in Multimodal Large Language Models

📝 Summary:
Think While Watching is a memory-anchored framework enabling multimodal large language models to perform continuous multi-turn video reasoning. It maintains long-range dependencies and boosts efficiency for streaming, significantly outperforming existing benchmarks.

🔹 Publication Date: Published on Mar 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.11896
• PDF: https://arxiv.org/pdf/2603.11896
• Github: https://github.com/wl666hhh/Think_While_Watching

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#MLLM #VideoReasoning #StreamingAI #AIMemory #AIResearch

✨A Simple Baseline for Streaming Video Understanding

📝 Summary:
A simple sliding-window approach outperforms complex memory-based streaming video methods by using only recent frames. It demonstrates a trade-off between real-time perception and long-term memory, suggesting benchmarks should separate these abilities.

🔹 Publication Date: Published on Apr 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.16655
• PDF: https://arxiv.org/pdf/2604.02317
• Project Page: https://simple-stream.github.io/
• Github: https://simple-stream.github.io/

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#VideoUnderstanding #StreamingAI #ComputerVision #RealTimeAI #MachineLearning