Cristian Sminchisescu

Semantic Segmentation with Second-Order Pooling

Image segmentation by figure-ground composition into maximal cliques

We propose a mid-level statistical model for image segmentation that composes multiple figure-ground hypotheses (FG) obtained by applying constraints at different locations and ...

Probabilistic Joint Image Segmentation and Labeling

We present a joint image segmentation and labeling model (JSL) which, given a bag of figure-ground segment hypotheses extracted at multiple image locations and scales, construct...

Composite Statistical Inference for Semantic Segmentation

In this paper we present an inference procedure for the semantic segmentation of images. Different from many CRF approaches that rely on dependencies modeled with unary and pair...

Constrained parametric min-cuts for automatic object segmentation

We present a novel framework for generating and ranking plausible objects hypotheses in an image using bottom-up processes and mid-level cues. The object hypotheses are represen...

Object recognition as ranking holistic figure-ground hypotheses

We present an approach to visual object-class recognition and segmentation based on a pipeline that combines multiple, holistic figure-ground hypotheses generated in a bottom-up...