[CVPR 2026] SpatialVID: A Large-Scale Video Dataset with Spatial Annotations
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Updated
Apr 22, 2026 - Python
[CVPR 2026] SpatialVID: A Large-Scale Video Dataset with Spatial Annotations
Thinking with Videos from Open-Source Priors. We reproduce chain-of-frames visual reasoning by fine-tuning open-source video models. Give it a star 🌟 if you find it useful.
🔥An open-source survey of the latest video reasoning tasks, paradigms, and benchmarks.
Video Chain of Thought, Codes for ICML 2024 paper: "Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition"
[CVPR 2026 Highlight] WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning
Latest Advances on (RL based) Multimodal Reasoning and Generation in Multimodal LLMs
[CVPR 2021] SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
We introduce Reasoning via Video, a new paradigm that uses maze-solving video generation to probe multimodal reasoning; our VR-Bench shows that fine-tuned video models consistently outperform strong VLMs on long-horizon spatial planning tasks.
[ECCV 2026] Demystifying Video Reasoning
[ICCV 2025] A Benchmark for Multi-Step Reasoning in Long Narrative Videos
Imagine Before You Predict: Interleaved Latent Visual Reasoning for Video Event Prediction
A repo for using different dynamic world modeling for planning, prediction and control: including State-Space Models (SSMs) and Video Models
A Gradio-based demonstration for the AllenAI SAGE-MM-Qwen3-VL-4B-SFT_RL multimodal model, specialized in video reasoning tasks. Users upload MP4 videos, provide natural language prompts (e.g., "Describe this video in detail" or custom questions), and receive detailed textual analyses.
Cosmos SafetyNet: CR2-powered forklift safety reasoning with structured JSON outputs and a review dashboard.
🎥 Analyze MP4 videos interactively, generating detailed text responses from custom prompts using the SAGE-MM visual reasoning model.
Unofficial PyTorch reproduction for LongVT, long-video reasoning with native tool calling.
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