activity
20142026
most citedNeural Architecture Transfer

181 citations · 505 across the 54 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CV2021

Generating Diverse 3D Reconstructions from a Single Occluded Face Image

Rahul Dey, Vishnu Naresh Boddeti

Occlusions are a common occurrence in unconstrained face images. Single image 3D reconstruction from such face images often suffers from corruption due to the presence of occlusion…

cs.CV2021

3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion

Rahul Dey, Vishnu Boddeti

Existing face completion solutions are primarily driven by end-to-end models that directly generate 2D completions of 2D masked faces. By having to implicitly account for geometric…

cs.LG2021

Adversarial Representation Learning With Closed-Form Solvers

Bashir Sadeghi, Lan Wang, Vishnu Naresh Boddeti

Adversarial representation learning aims to learn data representations for a target task while removing unwanted sensitive information at the same time. Existing methods learn mode…

cs.LG2021★ 1 cited

On Characterizing the Trade-off in Invariant Representation Learning

Bashir Sadeghi, Sepehr Dehdashtian, Vishnu Boddeti

Many applications of representation learning, such as privacy preservation, algorithmic fairness, and domain adaptation, desire explicit control over semantic information being dis…

cs.CV2021

Spatially-Adaptive Image Restoration using Distortion-Guided Networks

Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan +1

We present a general learning-based solution for restoring images suffering from spatially-varying degradations. Prior approaches are typically degradation-specific and employ the…