23 citations · 24 across the 3 of their papers we have counts for
5 papers
DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization
Aditya Vora, Akshay Gadi Patil, Hao Zhang
We present a volume rendering-based neural surface reconstruction method that takes as few as three disparate RGB images as input. Our key idea is to regularize the reconstruction,…
FCHD: Fast and accurate head detection in crowded scenes
Aditya Vora, Vinay Chilaka
In this paper, we propose FCHD-Fully Convolutional Head Detector, an end-to-end trainable head detection model. Our proposed architecture is a single fully convolutional network wh…
A Classification approach towards Unsupervised Learning of Visual Representations
Aditya Vora
In this paper, we present a technique for unsupervised learning of visual representations. Specifically, we train a model for foreground and background classification task, in the…
Iterative Spectral Clustering for Unsupervised Object Localization
Aditya Vora, Shanmuganathan Raman
This paper addresses the problem of unsupervised object localization in an image. Unlike previous supervised and weakly supervised algorithms that require bounding box or image lev…
Flow-free Video Object Segmentation
Aditya Vora, Shanmuganathan Raman
Segmenting foreground object from a video is a challenging task because of the large deformations of the objects, occlusions, and background clutter. In this paper, we propose a fr…