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Found 4 papers, 2 papers with code
Dynamic Relational Inference in Multi-Agent Trajectories
Neural relational inference (NRI) is a deep generative model that can reason about relations in complex dynamics without supervision.
DSR: Direct Self-rectification for Uncalibrated Dual-lens Cameras
Our method is evaluated on both real-istic and synthetic stereo image pairs, and produces supe-rior results compared to the calibrated rectification or otherself-rectification approaches
Confidence Inference for Focused Learning in Stereo Matching
Intuitively, the vari-ance in the Laplacian distribution is large for low confidentpixels while small for high-confidence pixels.
Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains
By feeding real stereo pairs of different domains to stereo models pre-trained with synthetic data, we see that: i) a pre-trained model does not generalize well to the new domain, producing artifacts at boundaries and ill-posed regions; however, ii) feeding an up-sampled stereo pair leads to a disparity map with extra details.
