1.4k citations · 2.6k across the 155 of their papers we have counts for
7 papers · 1 filter
Efficient Video Semantic Segmentation with Labels Propagation and Refinement
Matthieu Paul, Christoph Mayer, Luc Van Gool +1
This paper tackles the problem of real-time semantic segmentation of high definition videos using a hybrid GPU / CPU approach. We propose an Efficient Video Segmentation(EVS) pipel…
Towards Partial Supervision for Generic Object Counting in Natural Scenes
Hisham Cholakkal, Guolei Sun, Salman Khan +3
Generic object counting in natural scenes is a challenging computer vision problem. Existing approaches either rely on instance-level supervision or absolute count information to t…
Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement
Zhiwu Huang, Danda Pani Paudel, Guanju Li +3
This paper introduces a divide-and-conquer inspired adversarial learning (DACAL) approach for photo enhancement. The key idea is to decompose the photo enhancement process into hie…
AI Benchmark: All About Deep Learning on Smartphones in 2019
Andrey Ignatov, Radu Timofte, Andrei Kulik +6
The performance of mobile AI accelerators has been evolving rapidly in the past two years, nearly doubling with each new generation of SoCs. The current 4th generation of mobile NP…
Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision
Thomas Probst, Danda Pani Paudel, Ajad Chhatkuli +1
In this paper, we formulate a generic non-minimal solver using the existing tools of Polynomials Optimization Problems (POP) from computational algebraic geometry. The proposed met…
Fast video object segmentation with Spatio-Temporal GANs
Sergi Caelles, Albert Pumarola, Francesc Moreno-Noguer +2
Learning descriptive spatio-temporal object models from data is paramount for the task of semi-supervised video object segmentation. Most existing approaches mainly rely on models…