trajectory prediction
Country:
- Asia > Middle East > Israel (0.04)
- North America > United States > Pennsylvania > Allegheny County > Pittsburgh (0.04)
- Asia > China (0.04)
Technology:
- Information Technology > Artificial Intelligence > Robots (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
- Information Technology > Artificial Intelligence > Cognitive Science (0.94)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States
Li Zhang (lizhangfd@fudan.edu.cn) is the corresponding author. Previous methods, as depicted in (a), use only one mode query for each trajectory.
Technology:
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (0.94)
- Information Technology > Artificial Intelligence > Vision (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.68)
Technology:
Country:
- Europe > Switzerland (0.06)
- Asia > China > Hong Kong (0.04)
- Asia > China > Guangdong Province > Shenzhen (0.04)
Technology:
Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions
In this paper, we introduce a set of spatial-temporal logic rules as knowledge to explain human actions.
Country:
- Asia > China > Guangdong Province > Shenzhen (0.04)
- Asia > Middle East > Israel (0.04)
- Asia > China > Hong Kong (0.04)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Rule-Based Reasoning (0.95)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Spatial Reasoning (0.90)
Technology:
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
- Information Technology > Artificial Intelligence > Natural Language (0.68)
- Information Technology > Artificial Intelligence > Vision (0.68)
TrajCLIP: Pedestrian Trajectory Prediction Method Using Contrastive Learning and Idempotent Networks
By pairing historical and future trajectories and applying contrastive learning on the encoded feature space, we enforce same-space consistency constraints.
Genre:
- Research Report > Experimental Study (0.93)
- Research Report > New Finding (0.68)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.46)
Country:
Technology:
Country:
- Asia > China > Shanghai > Shanghai (0.04)
- Europe > Netherlands > North Holland > Amsterdam (0.04)
- Europe > Italy > Tuscany > Florence (0.04)
- (2 more...)
Technology:
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian Reid, Hamid Rezatofighi, Silvio Savarese
Neural Information Processing Systems http://nips.cc/
Country:
- North America > United States > California > Santa Clara County > Palo Alto (0.04)
- North America > Canada (0.04)
- Africa > Central African Republic > Ombella-M'Poko > Bimbo (0.04)
Industry:
- Transportation (0.68)
- Information Technology (0.68)
Technology: