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Found 7 papers, 2 papers with code
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields
Systems of interacting objects often evolve under the influence of field effects that govern their dynamics, yet previous works have abstracted away from such effects, and assume that systems evolve in a vacuum.
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
Modelling interactions is critical in learning complex dynamical systems, namely systems of interacting objects with highly non-linear and time-dependent behaviour.
BreakingBED -- Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks
The distilled models exhibit their strength against all white box attacks with an exception of C&W.
Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving
The driveable area detection, posed as a two class segmentation task, can be efficiently modeled with slim binary networks.
SafeCritic: Collision-Aware Trajectory Prediction
The Critic network is environmentally aware to prune trajectories that are in collision or are in violation with the environment.
Attention-based Lane Change Prediction
Lane change prediction of surrounding vehicles is a key building block of path planning.
Video Segmentation With Just a Few Strokes
As the use of videos is becoming more popular in computer vision, the need for annotated video datasets increases.
