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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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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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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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07/06/2020
Understanding Echo Chambers in E-commerce Recommender Systems
Personalized recommendation benefits users in accessing contents of inte...
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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
