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20162023
most citedA Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation

640 citations · 1.5k across the 89 of their papers we have counts for

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Showing 2017Show all

14 papers · 1 filter

cs.CV2017★ 33 cited

Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs

Xing Di, Vishal M. Patel

Automatic synthesis of faces from visual attributes is an important problem in computer vision and has wide applications in law enforcement and entertainment. With the advent of de…

cs.CV2017

In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks

Pramuditha Perera, Mahdi Abavisani, Vishal M. Patel

In unsupervised image-to-image translation, the goal is to learn the mapping between an input image and an output image using a set of unpaired training images. In this paper, we p…

cs.CV2017

High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks

Lidan Wang, Vishwanath A. Sindagi, Vishal M. Patel

Synthesizing face sketches from real photos and its inverse have many applications. However, photo/sketch synthesis remains a challenging problem due to the fact that photo and ske…

cs.CV2017

GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks

Xing Di, Vishwanath A. Sindagi, Vishal M. Patel

Facial landmarks constitute the most compressed representation of faces and are known to preserve information such as pose, gender and facial structure present in the faces. Severa…

cs.CV2017★ 1 cited

CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting

Vishwanath A. Sindagi, Vishal M. Patel

Estimating crowd count in densely crowded scenes is an extremely challenging task due to non-uniform scale variations. In this paper, we propose a novel end-to-end cascaded network…

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…