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Multi-PlaneProgramInductionwith3DBoxPriors

Neural Information Processing Systems

Our model assumes a box prior,i.e., that the image captures either aninner viewor anouter viewof a box in 3D. It uses neural networks to infer visual cues such as vanishing points or wireframe lines to guide a search-based algorithm to find the program that best explains the image.




Something has shifted in the NFL, and it's not about the game

FOX News

Benjamin Watson, NFL veteran and Sports Spectrum editor-in-chief, says athletes are now "freer" to speak about their faith as the era of keeping convictions on the sidelines ends.


Valeria Luiselli on Sound, Memory, and New Beginnings

The New Yorker

Sign up to receive it in your inbox. Your story in this week's issue, " Predictions and Presentiments," is drawn from your forthcoming book, " Beginning Middle End," which is coming out in July. The audio version will incorporate sounds that you and your team recorded in Sicily, where both the piece and the novel are set. How would you compare the creative processes of writing and recording, and the experiences of reading and listening? Recording sound and listening attentively have been an integral part of my writing process for a long time now.


Temporally Disentangled Representation Learning under Unknown Nonstationarity Xiangchen Song

Neural Information Processing Systems

However, in nonstationary setting, existing work only partially addressed the problem by either utilizing observed auxiliary variables (e.g., class labels and/or domain indexes) as side-information or assuming simplified latent causal dynamics. Both constrain the method to a limited range of scenarios.



LearningDebiasedandDisentangledRepresentations forSemanticSegmentation

Neural Information Processing Systems

Despite such phenomenal achievement, semantic segmentation approaches still suffer from the chronic limitations caused byclass imbalance andstereotyped scene contextindatasets.