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Found 8 papers, 4 papers with code
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles
To effectively assess the risks prevailing in the vicinity of AVs in social interactive traffic scenarios and achieve safe autonomous driving, this article proposes a social-suitable and safety-sensitive trajectory planning (S4TP) framework.
Towards Zero-shot Human-Object Interaction Detection via Vision-Language Integration
Human-object interaction (HOI) detection aims to locate human-object pairs and identify their interaction categories in images.
FreeA: Human-object Interaction Detection using Free Annotation Labels
Recent human-object interaction (HOI) detection approaches rely on high cost of manpower and require comprehensive annotated image datasets.
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
In this paper, we introduce FedRSU, an innovative federated learning framework for self-supervised scene flow estimation.
Improving Zero-shot Generalization and Robustness of Multi-modal Models
We also show that our method improves across ImageNet shifted datasets, four other datasets, and other model architectures such as LiT.
Learning to Generate Image Embeddings with User-level Differential Privacy
Small on-device models have been successfully trained with user-level differential privacy (DP) for next word prediction and image classification tasks in the past.
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization
To evaluate the power of the learned representations, in addition to the conventional fully-supervised action recognition settings, we introduce a novel task called single-shot cross-view action recognition.
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose
Recognition of human poses and actions is crucial for autonomous systems to interact smoothly with people.
