1.3k citations
- Centre National de la Recherche ScientifiqueFR397 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR211 papers
- University of CambridgeGB210 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR208 papers
- University College LondonGB202 papers
- University of EdinburghGB194 papers
- Instituto de Astrofísica de CanariasES172 papers
- Université Paris-SaclayFR169 papers
- University of OxfordGB158 papers
- CEA Paris-SaclayFR156 papers
- Max Planck Institute for AstronomyDE156 papers
- Royal ObservatoryGB155 papers
7 papers · 2 filters
Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
Zhen-Hua Feng, Josef Kittler, Muhammad Awais +2
We present a new loss function, namely Wing loss, for robust facial landmark localisation with Convolutional Neural Networks (CNNs). We first compare and analyse different loss fun…
Medical Image Analysis using Convolutional Neural Networks: A Review
Syed Muhammad Anwar, Muhammad Majid, Adnan Qayyum +3
The science of solving clinical problems by analyzing images generated in clinical practice is known as medical image analysis. The aim is to extract information in an effective an…
3D Morphable Models as Spatial Transformer Networks
Anil Bas, Patrik Huber, William A. P. Smith +2
In this paper, we show how a 3D Morphable Model (i.e. a statistical model of the 3D shape of a class of objects such as faces) can be used to spatially transform input data as a mo…
Unconstrained Face Detection and Open-Set Face Recognition Challenge
Manuel Günther, Peiyun Hu, Christian Herrmann +12
Face detection and recognition benchmarks have shifted toward more difficult environments. The challenge presented in this paper addresses the next step in the direction of automat…
Probabilistic RGB-D Odometry based on Points, Lines and Planes Under Depth Uncertainty
Pedro F. Proenca, Yang Gao
This work proposes a robust visual odometry method for structured environments that combines point features with line and plane segments, extracted through an RGB-D camera. Noisy d…
Probabilistic Combination of Noisy Points and Planes for RGB-D Odometry
Pedro F. Proença, Yang Gao
This work proposes a visual odometry method that combines points and plane primitives, extracted from a noisy depth camera. Depth measurement uncertainty is modelled and propagated…