9 citations · 31 across the 19 of their papers we have counts for
9 papers · 1 filter
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding
Trong-Thuan Nguyen, Pha Nguyen, Khoa Luu
Visual interactivity understanding within visual scenes presents a significant challenge in computer vision. Existing methods focus on complex interactivities while leveraging a si…
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos
Naga VS Raviteja Chappa, Pha Nguyen, Thi Hoang Ngan Le +1
Group Activity Scene Graph (GASG) generation is a challenging task in computer vision, aiming to anticipate and describe relationships between subjects and objects in video sequenc…
REACT: Recognize Every Action Everywhere All At Once
Naga VS Raviteja Chappa, Pha Nguyen, Page Daniel Dobbs +1
Group Activity Recognition (GAR) is a fundamental problem in computer vision, with diverse applications in sports video analysis, video surveillance, and social scene understanding…
Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes
Fabien Delattre, David Dirnfeld, Phat Nguyen +4
We present an approach to estimating camera rotation in crowded, real-world scenes from handheld monocular video. While camera rotation estimation is a well-studied problem, no pre…
UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation
Pha Nguyen, Kha Gia Quach, John Gauch +3
Multiple Object Tracking (MOT) aims to find bounding boxes and identities of targeted objects in consecutive video frames. While fully-supervised MOT methods have achieved high acc…
Z-GMOT: Zero-shot Generic Multiple Object Tracking
Kim Hoang Tran, Anh Duy Le Dinh, Tien Phat Nguyen +6
Despite recent significant progress, Multi-Object Tracking (MOT) faces limitations such as reliance on prior knowledge and predefined categories and struggles with unseen objects.…
Type-to-Track: Retrieve Any Object via Prompt-based Tracking
Pha Nguyen, Kha Gia Quach, Kris Kitani +1
One of the recent trends in vision problems is to use natural language captions to describe the objects of interest. This approach can overcome some limitations of traditional meth…
SoGAR: Self-supervised Spatiotemporal Attention-based Social Group Activity Recognition
Naga VS Raviteja Chappa, Pha Nguyen, Alexander H Nelson +4
This paper introduces a novel approach to Social Group Activity Recognition (SoGAR) using Self-supervised Transformers network that can effectively utilize unlabeled video data. To…
SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
Naga VS Raviteja Chappa, Pha Nguyen, Alexander H Nelson +4
In this paper, we propose a new, simple, and effective Self-supervised Spatio-temporal Transformers (SPARTAN) approach to Group Activity Recognition (GAR) using unlabeled video dat…