55 citations · 109 across the 7 of their papers we have counts for
3 papers · 1 filter
Weakly Supervised Learning of Heterogeneous Concepts in Videos
Sohil Shah, Kuldeep Kulkarni, Arijit Biswas +3
Typical textual descriptions that accompany online videos are 'weak': i.e., they mention the main concepts in the video but not their corresponding spatio-temporal locations. The c…
Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity
Sohil Shah, Tom Goldstein, Christoph Studer
Conventional algorithms for sparse signal recovery and sparse representation rely on -norm regularized variational methods. However, when applied to the reconstruction of $\te…
Biconvex Relaxation for Semidefinite Programming in Computer Vision
Sohil Shah, Abhay Kumar, Carlos Castillo +3
Semidefinite programming is an indispensable tool in computer vision, but general-purpose solvers for semidefinite programs are often too slow and memory intensive for large-scale…