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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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03/31/2023
Procedure-Aware Pretraining for Instructional Video Understanding
Our goal is to learn a video representation that is useful for downstrea...
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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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06/04/2022
Optimizing Indoor Navigation Policies For Spatial Distancing
In this paper, we focus on the modification of policies that can lead to...
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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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12/22/2021
Investigating Neighborhood Modeling and Asymmetry Preservation in Digraph Representation Learning
Graph Neural Networks (GNNs) traditionally exhibit poor performance for ...
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12/11/2021
COMPOSER: Compositional Learning of Group Activity in Videos
Group Activity Recognition (GAR) detects the activity performed by a gro...
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03/19/2021
Hopper: Multi-hop Transformer for Spatiotemporal Reasoning
This paper considers the problem of spatiotemporal object-centric reason...
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12/08/2020
Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans
Floorplans are commonly used to represent the layout of buildings. In co...
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10/09/2020
GitEvolve: Predicting the Evolution of GitHub Repositories
Software development is becoming increasingly open and collaborative wit...
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04/01/2020
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge
Cross-modal knowledge distillation deals with transferring knowledge fro...
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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
Cognitive Agent Based Simulation Model For Improving Disaster Response Procedures
In the event of a disaster, saving human lives is of utmost importance. ...
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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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04/10/2019
Generating Animations from Screenplays
Automatically generating animation from natural language text finds appl...
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04/06/2019
Semantic Graph Convolutional Networks for 3D Human Pose Regression
In this paper, we study the problem of learning Graph Convolutional Netw...
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04/05/2019
Domain Authoring Assistant for Intelligent Virtual Agents
Developing intelligent virtual characters has attracted a lot of attenti...
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04/04/2019
Topic Spotting using Hierarchical Networks with Self Attention
Success of deep learning techniques have renewed the interest in develop...
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04/04/2019
Affect-Driven Dialog Generation
The majority of current systems for end-to-end dialog generation focus o...
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07/26/2018
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation
We consider the problem of image-to-video translation, where an input im...
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01/23/2018
Interactive Diversity Optimization of Environments
The design of a building requires an architect to balance a wide range o...
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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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03/25/2017