SPG
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Brunson or Wemby: Who tops our rankings of the pla...
An NBA postseason highlighted by breakout performances, Game 7 thrillers and more than a few upsets has reached its last chapter: The Finals between the San Antonio Spurs and New York Knicks. San Antonio is seeking its first championship since 2014 after winning 62 games during the regular season and dethroning the Oklahoma City Thunder in the Western Conference finals. New York, ringless since 1973, won 53 games and the NBA Cup before breezing through the Eastern Conference playoffs with a...
WNBA awards: Which leaders, long shots are worth b...
We are almost a month into this action-packed WNBA season, and this is a good time to take a closer look at the awards races that are already starting to take shape. The futures betting market can be volatile over the course of a season, so there's value in tracking where things stand and what could change moving forward. You might recall how things played out last season, when then-reigning MVP A'ja Wilson had fallen to long-shot status to repeat as MVP with odds of +1000.
WebSpline: Structure-Informed Splines for Real-Time 3D Gaussians from Monocular Videos
arXiv:2606.02096v1 Announce Type: new Abstract: Dynamic scene reconstruction from monocular videos remains highly challenging, as existing methods often struggle to balance global structural coherence and local fine-grained details under limited multi-view cues. To address this challenge, we propose WebSpline, a novel dynamic 3D Gaussian framework that enables structurally coherent and high-fidelity reconstruction from monocular videos with fast rendering. The core of WebSpline is the...
A Graph Foundation Model with Spectral Parsing and Prototype-Guided Spatial Propagation
Announce Type: new Abstract: Graph foundation models aim to learn transferable knowledge from diverse graphs for generalization to unseen graphs and tasks. Unlike text and images, graphs lack a shared vocabulary or regular spatial grid, making cross-graph transfer challenging. This challenge comes from both feature discrepancies and, more critically, diverse graph structures.
Semantic Partial Grounding via LLMs
arXiv:2602.22067v2 Announce Type: replace Abstract: Grounding is a critical step in classical planning, yet it often becomes a computational bottleneck due to the exponential growth in grounded actions and atoms as task size increases. Recent advances in partial grounding have addressed this challenge by incrementally grounding only the most promising operators, guided by predictive models. However, these approaches primarily rely on relational features or learned embeddings and do not...