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06/29/2023
Learning from Synthetic Human Group Activities
The understanding of complex human interactions and group activities has...
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12/09/2022
MSI: Maximize Support-Set Information for Few-Shot Segmentation
FSS(Few-shot segmentation) aims to segment a target class with a small n...
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11/02/2022
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction
Learning-based approaches to modeling crowd motion have become increasin...
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03/24/2022
HMFS: Hybrid Masking for Few-Shot Segmentation
We study few-shot semantic segmentation that aims to segment a target ob...
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01/18/2022
MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction
Accurate long-term trajectory prediction in complex scenes, where multip...
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10/13/2019
Deep Crowd-Flow Prediction in Built Environments
Predicting the behavior of crowds in complex environments is a key requi...
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10/02/2019
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation
Crowd simulation, the study of the movement of multiple agents in comple...
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10/10/2017
The Role of Data-driven Priors in Multi-agent Crowd Trajectory Estimation
Trajectory interpolation, the process of filling-in the gaps and removin...
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07/03/2015
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM
Bayesian models provide a framework for probabilistic modelling of compl...
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06/30/2015