10 citations · 13 across the 5 of their papers we have counts for
5 papers
STT: Stateful Tracking with Transformers for Autonomous Driving
Longlong Jing, Ruichi Yu, Xu Chen +19
Tracking objects in three-dimensional space is critical for autonomous driving. To ensure safety while driving, the tracker must be able to reliably track objects across frames and…
Joint Forecasting of Panoptic Segmentations with Difference Attention
Colin Graber, Cyril Jazra, Wenjie Luo +2
Forecasting of a representation is important for safe and effective autonomy. For this, panoptic segmentations have been studied as a compelling representation in recent work. Howe…
Panoptic Segmentation Forecasting
Colin Graber, Grace Tsai, Michael Firman +2
Our goal is to forecast the near future given a set of recent observations. We think this ability to forecast, i.e., to anticipate, is integral for the success of autonomous agents…
Graph Structured Prediction Energy Networks
Colin Graber, Alexander Schwing
For joint inference over multiple variables, a variety of structured prediction techniques have been developed to model correlations among variables and thereby improve predictions…
Deep Structured Prediction with Nonlinear Output Transformations
Colin Graber, Ofer Meshi, Alexander Schwing
Deep structured models are widely used for tasks like semantic segmentation, where explicit correlations between variables provide important prior information which generally helps…