activity
20172022
most citedDensely Connected Pyramid Dehazing Network

78 citations · 121 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022★ 7 cited

Interactive Portrait Harmonization

Jeya Maria Jose Valanarasu, He Zhang, Jianming Zhang +7

Current image harmonization methods consider the entire background as the guidance for harmonization. However, this may limit the capability for user to choose any specific object/…

cs.CV2018★ 1 cited

Synthesis of High-Quality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks

He Zhang, Benjamin S. Riggan, Shuowen Hu +2

The large domain discrepancy between faces captured in polarimetric (or conventional) thermal and visible domain makes cross-domain face verification a highly challenging problem f…

cs.CV2018★ 1 cited

Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results

Hajime Nada, Vishwanath A. Sindagi, He Zhang +1

Face detection has witnessed immense progress in the last few years, with new milestones being surpassed every year. While many challenges such as large variations in scale, pose,…

cs.CV2018★ 78 cited

Densely Connected Pyramid Dehazing Network

He Zhang, Vishal M. Patel

We propose a new end-to-end single image dehazing method, called Densely Connected Pyramid Dehazing Network (DCPDN), which can jointly learn the transmission map, atmospheric light…

cs.CV2017★ 34 cited

Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces

He Zhang, Vishal M. Patel, Benjamin S. Riggan +1

The large domain discrepancy between faces captured in polarimetric (or conventional) thermal and visible domain makes cross-domain face recognition quite a challenging problem for…

cs.CV2017

Sparse Representation-based Open Set Recognition

He Zhang, Vishal M. Patel

We propose a generalized Sparse Representation- based Classification (SRC) algorithm for open set recognition where not all classes presented during testing are known during traini…