“This is a collection of articles from Qiita demonstrating the construction of an AI that takes gameplay footage (video) as input, estimates the game state, and proposes the next action.”

“Computer vision is an area of artificial intelligence that gives computer systems the ability to analyze, interpret, and understand visual data, namely images and videos.”

“The AI answers 'Tokusei' (an archaic Japanese term) to the question of what's the opposite of a Koala.”

“Keep creating and sharing, let Wan team see it.”

“"Just asked GEMINI to review one of my youtube video, only to get skin burned critiques like the way my dad does."”

“Our algorithm enables off-the-shelf cross-modal systems trained on 2D visual inputs to adapt online to object occlusions and differentiate features.”

“Dream2Flow overcomes the embodiment gap and enables zero-shot guidance from pre-trained video models to manipulate objects of diverse categories-including rigid, articulated, deformable, and granular.”

“CERES implements dual-modal causal intervention: applying backdoor adjustment principles to counteract language representation biases and leveraging front-door adjustment concepts to address visual confounding.”

“The paper demonstrates a 24.0% relative improvement in reducing model hallucinations on counterfactual videos compared to the Qwen2.5-VL-7B baseline.”

“The paper introduces evidence tokens for evidence grounding, which emphasize event-level visual semantic capture beyond the focus on timestamp representation.”

“PhyAVBench explicitly evaluates models' understanding of the physical mechanisms underlying sound generation.”

“Even minor prompt modifications, such as the substitution or insertion of a single word, can cause substantial degradation in semantic fidelity and temporal dynamics, highlighting critical vulnerabilities in current T2V diffusion models.”

“The baseline model can compress a 20-second video into a context at about 5k length, where random frames can be retrieved with perceptually preserved appearances.”

“The article likely delves into the specifics of how RoboMirror analyzes video, extracts relevant features (e.g., joint angles, velocities), and translates those features into control commands for the humanoid robot. It probably also discusses the benefits of this 'understand before imitate' approach, such as improved robustness to variations in the input video or the robot's physical characteristics.”

“OmniAgent achieves state-of-the-art performance, surpassing leading open-source and proprietary models by substantial margins of 10% - 20% accuracy.”

“TV-RAG realizes a dual-level reasoning routine that can be grafted onto any LVLM without re-training or fine-tuning.”

“Even advanced search-augmented models like GPT-5.1 (w/ Search) achieve only 15.24% accuracy.”

“How is this type of video made? Which model/website?”

“Structured outputs can be syntactically valid while semantically incorrect, schema validation is structural (not geometric correctness), person identifiers are frame-local in the current prompting contract, and interactive single-frame analysis returns free-form text rather than schema-enforced JSON.”

“JavisGPT outperforms existing MLLMs, particularly in complex and temporally synchronized settings.”

“Stable motion provides clean anchors AND makes the next chunk far more likely to correctly continue the direction of a given action”

“Pure frontend app that stays local.”

“VideoZoomer invokes a temporal zoom tool to obtain high-frame-rate clips at autonomously chosen moments, thereby progressively gathering fine-grained evidence in a multi-turn interactive manner.”

“Scene-VLM yields significant improvements of +6 AP and +13.7 F1 over the previous leading method on MovieNet.”

“The article focuses on surgical scene segmentation using a spike-driven video transformer.”

“The paper is available on ArXiv.”

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“The paper is from ArXiv.”

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“The model learns aligned audio, video, and text representations in a single embedding space using large scale contrastive training on about 100M audio video pairs with text captions.”

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“The study focuses on multi-modal analysis.”

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“The study focuses on fine-tuning video transformers for multi-view geometry tasks.”

“The article likely details the technical aspects and experimental results of the proposed method.”

“The article is based on a research paper on ArXiv.”

“The paper explores source distributions for image flow matching.”

“The research involves analyzing a first-person social media video dataset.”

“(Assuming a quote about simplifying complex AI concepts) "We aim to demystify these advanced technologies for everyone."”

“Mitty is a diffusion-based human-to-robot video generation model.”

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“The research focuses on omni-modal reasoning and tool use in long videos.”

“Spatia is a video generation model.”

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“HERBench is a benchmark for multi-evidence integration in Video Question Answering.”

“The research focuses on consistent and efficient processing of long video narratives.”

“The article is from ArXiv, indicating it's a pre-print research paper.”

“The research originates from ArXiv, a platform for pre-print scientific papers.”

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