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Found 5 papers, 2 papers with code
Efficient and Accurate Skeleton-Based Two-Person Interaction Recognition Using Inter- and Intra-body Graphs
Skeleton-based two-person interaction recognition has been gaining increasing attention as advancements are made in pose estimation and graph convolutional networks.
Robust Unsupervised Multi-Object Tracking in Noisy Environments
We resolve this problem by introducing a robust unsupervised multi-object tracking (MOT) model: AttU-Net.
Segmentation-Based Bounding Box Generation for Omnidirectional Pedestrian Detection
We propose a segmentation-based bounding box generation method for omnidirectional pedestrian detection that enables detectors to tightly fit bounding boxes to pedestrians without omnidirectional images for training.
QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information
We propose a simple, intuitive yet powerful method for human-object interaction (HOI) detection.
Human-Object Interaction Concept Discovery
Human-Object Interaction Detection
Cycle-Contrast for Self-Supervised Video Representation Learning
We present Cycle-Contrastive Learning (CCL), a novel self-supervised method for learning video representation.
