10 citations · 12 across the 4 of their papers we have counts for
3 papers · 1 filter
Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation
Sohil Shah, Pallabi Ghosh, Larry S Davis +1
Many imaging tasks require global information about all pixels in an image. Conventional bottom-up classification networks globalize information by decreasing resolution; features…
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…