ETH/UCY
PulseAugur coverage of ETH/UCY — every cluster mentioning ETH/UCY across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New MoRE framework enhances language-based trajectory prediction models
Researchers have developed MoRE, a novel framework designed to enhance language-based trajectory prediction models. MoRE integrates numerical forecasting priors into existing language models using reinforcement learning…
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New GEAR model dynamically activates social context for improved trajectory prediction
Researchers have developed GEAR, a novel model for human trajectory prediction that addresses the limitations of existing methods by focusing on how social context is activated during future trajectory generation. Unlik…
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New method forecasts trajectories using uncertainty from imperfect tracking
Researchers have developed a novel approach to trajectory forecasting that accounts for uncertainties inherent in real-world tracking data. This method models observed states as Gaussian distributions, incorporating bot…
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New framework INTraJ models social influence in trajectory prediction
Researchers have introduced INTraJ, a novel framework for trajectory prediction that explicitly models social influence in two distinct stages. The first stage, planning, uses future social information to construct refe…
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TSCA-Net improves pedestrian trajectory prediction with novel attention and adaptive modules
Researchers have developed TSCA-Net, a novel framework for pedestrian trajectory prediction in crowded environments. This system addresses limitations in existing models by incorporating learnable temporal gating, a dyn…
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New diffusion model enhances multi-agent motion prediction
Researchers have developed a new diffusion-based framework to improve multi-agent motion prediction. This approach leverages contextual information from historical trajectories to enhance the diversity and expressivenes…
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SceneSelect introduces selective learning for trajectory prediction, improving accuracy by 10.5%
Researchers have introduced SceneSelect, a novel scene-centric paradigm for trajectory prediction that addresses the limitations of traditional model-centric approaches. This new method analyzes scene characteristics to…