The successive mean quantization transform. - Mikael G. Nilsson; Mattias Dahl; Ingvar Claesson (ICASSP (4), 2005)

Gray-scale image enhancement using the SMQT. - Mikael G. Nilsson; Mattias Dahl; Ingvar Claesson (ICIP (1), 2005)

Face Detection using Local SMQT Features and Split up Snow Classifier. - Mikael G. Nilsson; Jörgen Nordberg; Ingvar Claesson (ICASSP (2), 2007)

Segmentation and its real-world applications in speech processing. - Farook Sattar; Mikael G. Nilsson; Ingvar Claesson (ISSPA, 2007)

On Feature Extraction and Classification in Speech and Image Processing. - Mikael G. Nilsson (2007)

On histograms and spatiograms - introduction of the mapogram. - Mikael G. Nilsson; Josef Ström Bartunek; Jörgen Nordberg; Ingvar Claesson (ICIP, 2008)

Analysis of Speed Sign Classification Algorithms Using Shape Based Segmentation of Binary Images. - Azam Sheikh Muhammad; Niklas Lavesson; Paul Davidsson; Mikael G. Nilsson (CAIP, 2009)

Mouth open or closed decision for frontal face images with given eye locations. - Mikael G. Nilsson; Irina Gertsovich; Josef Ström Bartunek (BTAS, 2010)

An improved classification scheme for standoff detection of explosives via Raman spectroscopy. - Naveed Razzaq Butt; Mikael G. Nilsson; Andreas Jakobsson; Anna Pettersson; Sara Wallin; Henne Östmark (EUSIPCO, 2010)

Classification of Raman Spectra to Detect Hidden Explosives. - Naveed Razzaq Butt; Mikael G. Nilsson; Andreas Jakobsson; Magnus Nordberg; Anna Pettersson; Sara Wallin; Henric Östmark (IEEE Geosci. Remote. Sens. Lett., 2011)

Flow Counting Using Realboosted Multi-sized Window Detectors. - Håkan Ardö; Mikael G. Nilsson; Rikard Berthilsson (ECCV Workshops (3), 2012)

A novel methodology for the interoperability evaluation of an iris segmentation algorithm. - Irina Gertsovich; Josef Ström Bartunek; Lars Håkansson; Mikael G. Nilsson (BTAS, 2013)

Reduced Search Space for Rapid Bicycle Detection. - Mikael G. Nilsson; Håkan Ardö; Aliaksei Laureshyn; Anna Persson (ICPRAM, 2013)

Adaptive Fingerprint Image Enhancement With Emphasis on Preprocessing of Data. - Josef Ström Bartunek; Mikael G. Nilsson; Benny Sällberg; Ingvar Claesson (IEEE Trans. Image Process., 2013)

In Search of a Car - Utilizing a 3D Model with Context for Object Detection. - Mikael G. Nilsson; Håkan Ardö (VISAPP (2), 2014)

Impact of a truck as an obstacle on vehicle-to-vehicle communications in rural and highway scenarios. - Dimitrios Vlastaras; Taimoor Abbas; Mikael G. Nilsson; Russ Whiton; Magnus Olback; Fredrik Tufvesson (WiVeC, 2014)

Measurement Uncertainty, Channel Simulation, and Disturbance Characterization of an Over-the-Air Multiprobe Setup for Cars at 5.9 GHz. - Mikael G. Nilsson; Paul Hallbjörner; Niklas Araback; Bjorn Bergqvist; Taimoor Abbas; Fredrik Tufvesson (IEEE Trans. Ind. Electron., 2015)

Fast Classification of Empty and Occupied Parking Spaces Using Integral Channel Features. - Martin Ahrnbom; Kalle Åström; Mikael G. Nilsson (CVPR Workshops, 2016)

Minimizing the Maximal Rank. - Erik Bylow; Carl Olsson; Fredrik Kahl; Mikael G. Nilsson (CVPR, 2016)

Feasibility study for the implementation of an automatic system for the detection of social interactions in the waiting area of automatic milking stations by using a video surveillance system. - Oleksiy Guzhva; Håkan Ardö; Anders H. Herlin; Mikael G. Nilsson; Kalle Åström; Christer Bergsten (Comput. Electron. Agric., 2016)

Improving a Real-Time Object Detector with Compact Temporal Information. - Martin Ahrnbom; Morten Borno Jensen; Kalle Åström; Mikael G. Nilsson; Håkan Ardö; Thomas B. Moeslund (ICCV Workshops, 2017)

A Measurement-Based Multilink Shadowing Model for V2V Network Simulations of Highway Scenarios. - Mikael G. Nilsson; Carl Gustafson; Taimoor Abbas; Fredrik Tufvesson (IEEE Trans. Veh. Technol., 2017)

A Search Space Strategy for Pedestrian Detection and Localization in World Coordinates. - Mikael G. Nilsson; Martin Ahrnbom; Håkan Ardö; Aliaksei Laureshyn (VISIGRAPP (5: VISAPP), 2018)

Now You See Me: Convolutional Neural Network Based Tracker for Dairy Cows. - Oleksiy Guzhva; Håkan Ardö; Mikael G. Nilsson; Anders H. Herlin; Linda Tufvesson (Frontiers Robotics AI, 2018)

Convolutional neural network-based cow interaction watchdog. - Håkan Ardö; Oleksiy Guzhva; Mikael G. Nilsson; Anders H. Herlin (IET Comput. Vis., 2018)

A Path Loss and Shadowing Model for Multilink Vehicle-to-Vehicle Channels in Urban Intersections. - Mikael G. Nilsson; Carl Gustafson; Taimoor Abbas; Fredrik Tufvesson (Sensors, 2018)

Multi Target Tracking from Drones by Learning from Generalized Graph Differences. - Håkan Ardö; Mikael G. Nilsson (ICCV Workshops, 2019)

VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results. - Longyin Wen; Yue Zhang 011; Liefeng Bo; Hailin Shi; Rui Zhu 005; Ajit Jadhav; Bing Dong; Brejesh Lall; Chang Liu 003; Chunhui Zhang; Dong Wang 004; Pengfei Zhu 001; et al. (ICCV Workshops, 2019)

Multi Target Tracking by Learning from Generalized Graph Differences. - Håkan Ardö; Mikael G. Nilsson (CoRR, 2019)

Calibration and Absolute Pose Estimation of Trinocular Linear Camera Array for Smart City Applications. - Martin Ahrnbom; Mikael G. Nilsson; Håkan Ardö; Kalle Åström; Oksana Yastremska-Kravchenko; Aliaksei Laureshyn (ICPR, 2020)

Virtual Drive Testing Over-the-Air for Vehicular Communications. - Yilin Ji; Wei Fan 003; Mikael G. Nilsson; Lassi Hentilä; Kristian Karlsson; Fredrik Tufvesson; Gert Frølund Pedersen (IEEE Trans. Veh. Technol., 2020)

Real-time and Online Segmentation Multi-target Tracking with Track Revival Re-identification. - Martin Ahrnbom; Mikael G. Nilsson; Håkan Ardö (VISIGRAPP (5: VISAPP), 2021)

Height Normalizing Image Transform for Efficient Scene Specific Pedestrian Detection. - Håkan Ardö; Martin Ahrnbom; Mikael G. Nilsson (AVSS, 2022)

Generalized Urban Traffic Surveillance (GUTS): World-Coordinate Tracking for Traffic Safety Applications. - Martin Ahrnbom; Ivar Persson; Håkan Ardö; Mikael G. Nilsson (ITSC, 2022)

Seg2Pose: Pose Estimations from Instance Segmentation Masks in One or Multiple Views for Traffic Applications. - Martin Ahrnbom; Ivar Persson; Mikael G. Nilsson (VISIGRAPP (5: VISAPP), 2022)

Monocular Estimation of Translation, Pose and 3D Shape on Detected Objects using a Convolutional Autoencoder. - Ivar Persson; Martin Ahrnbom; Mikael G. Nilsson (VISIGRAPP (5: VISAPP), 2022)

Spiideo SoccerNet SynLoc: Single Frame World Coordinate Athlete Detection and Localization with Synthetic Data. - Håkan Ardö; Mikael G. Nilsson; Anthony Cioppa; Floriane Magera; Silvio Giancola; Haochen Liu; Bernard Ghanem; Marc Van Droogenbroeck (VISIGRAPP (2): VISAPP, 2025)