Abstract: Low-Rank Approximation (LRA) is a commonly used method for compressing deep learning (DL) models by factorizing weight matrices into lower-dimensional components. Although LRA is most ...
You wake up in the middle of the night. Is it time to get up? Well, you can look at the nightstand clock. Unless your partner is in the way. Whoops. Even then, without your glasses, the time is ...
Abstract: This paper introduces InverseMatrixVT3D, an efficient method for transforming multi-view image features into 3D feature volumes for 3D semantic occupancy prediction. Existing methods for ...
One night in 2010, Mohit Gupta decided to try something before leaving the lab. Then a Ph.D. student at Carnegie Mellon ...
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