Spatial Reasoning
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.
Learning from Highly Sparse Spatio-temporal Data
Incomplete spatio-temporal data in the real world has spawned much research.
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
In this paper, we introduce the new Aero-Eye dataset that focuses on multi-object relationship modeling in aerial videos.
Supplementary Material: T orchSpatial-A Location Encoding Framework and Benchmark for Spatial Representation Learning
Author ordering is determined by coin flip. For what purpose was the dataset created? Was there a specific task in mind? In order to systematically compare the location encoders' performance and their impact on the Who created the dataset (e.g., which team, research group) and on behalf of which entity (e.g., Who funded the creation of the dataset? Dr. Gengchen Mai acknowledges the Microsoft Research What do the instances that comprise the dataset represent (e.g., documents, photos, people, The instances in all 17 datasets represent images.
Supplementary Material for " Diversifying Spatial-Temporal Perception for Video Domain Generalization " Kun-Y u Lin
Hard Norm Alignment loss (HNA): apply the HNA loss (Eq. HMDB, which demonstrates the effectiveness of our model. First, we drop feature from a specific spatial group. Method UCF HMDB STDN-T -1 59.2 STDN-T -2 58.1 STDN-T -3 59.4 STDN-T -4 58.9 Full STDN 60.2 Second, we drop feature from a space scale. In our main manuscript, we conduct all experiments based on ResNet-50.
Diversifying Spatial-Temporal Perception for Video Domain Generalization Kun-Y u Lin
However, existing video classification models rely on the i.i.d.
SpatialPIN: Enhancing Spatial Reasoning Capabilities
To this end, we propose SpatialPIN, a framework that utilizes progressive prompting and interactions between VLMs and 2D/3D foundation models as "free lunch" to enhance spatial reasoning capabilities
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth Wei Chen
Since the inception of our planet, the meteorological environment, as reflected through spatio-temporal data, has always been a fundamental factor influencing human life, socio-economic progress, and ecological conservation.
Validating Climate Models with Spherical Convolutional Wasserstein Distance Robert C. Garrett 1 Trevor Harris
The validation of global climate models is crucial to ensure the accuracy and efficacy of model output. We introduce the spherical convolutional Wasserstein distance to more comprehensively measure differences between climate models and reanalysis data.