433 citations · 771 across the 52 of their papers we have counts for
4 papers · 1 filter
Boundary-aware Instance Segmentation
Zeeshan Hayder, Xuming He, Mathieu Salzmann
We address the problem of instance-level semantic segmentation, which aims at jointly detecting, segmenting and classifying every individual object in an image. In this context, ex…
Learning Dynamic Hierarchical Models for Anytime Scene Labeling
Buyu Liu, Xuming He
With increasing demand for efficient image and video analysis, test-time cost of scene parsing becomes critical for many large-scale or time-sensitive vision applications. We propo…
Learning deep structured network for weakly supervised change detection
Salman H Khan, Xuming He, Fatih Porikli +3
Conventional change detection methods require a large number of images to learn background models or depend on tedious pixel-level labeling by humans. In this paper, we present a w…
Semantic-Aware Depth Super-Resolution in Outdoor Scenes
Miaomiao Liu, Mathieu Salzmann, Xuming He
While depth sensors are becoming increasingly popular, their spatial resolution often remains limited. Depth super-resolution therefore emerged as a solution to this problem. Despi…