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UniD achieves competitive performance in dense scene prediction by effectively bridging domain gaps without the need for overlapping annotations or costly pseudo-labeling.
FluxGraph achieves over 3 times faster object tracking without sacrificing performance, revolutionizing real-time scene analysis.
Uninformative mode probabilities in trajectory forecasting can be transformed into robust predictions with simple post-hoc adjustments, enhancing model performance without retraining.
LVLMs can ace ImageNet, but still fail at understanding how to put together an IKEA chair.
Generate navigable, 3D-consistent simulations of real-world locations with arbitrary weather and dynamic object configurations using only geo-registered video data.
