Hees, J.
* 2018: What do Deep Networks Like to See?
* 2020: Adversarial Defense based on Structure-to-Signal Autoencoders
* 2020: Focus-Aspect-Value model for predicting subjective visual attributes, The
* 2021: Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks
* 2021: ESResNet: Environmental Sound Classification Based on Visual Domain Models
* 2021: P ˜ NP, at least in Visual Question Answering
* 2021: Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-Memory
* 2021: XAI Handbook: Towards a Unified Framework for Explainable AI
* 2022: Less is More: Proxy Datasets in NAS approaches
* 2022: Self-Supervised Test-Time Adaptation on Video Data
* 2023: Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances
Includes: Hees, J. Hees, J.[Jörn]
11 for Hees, J.
Heesch, D.[Daniel]
* 2004: Three Interfaces for Content-Based Access to Image Collections
* 2005: Image Browsing: Semantic Analysis of NN k Networks
* 2006: iBase: Navigating Digital Library Collections
* 2006: Large Scale System for Searching and Browsing Images from the World Wide Web, A
* 2007: Non-Gibbsian Markov random field models for contextual labelling of structured scenes
* 2008: Context First
* 2008: Two Step Relevance Feedback for Semantic Disambiguation in Image Retrieval
* 2009: Modified grabcut for unsupervised object segmentation
* 2010: CRF Based Region Classification Using Spatial Prototypes
9 for Heesch, D.
Heese, B.[Birgit]
* 2018: Modification of Local Urban Aerosol Properties by Long-Range Transport of Biomass Burning Aerosol
* 2020: Variability of the Boundary Layer Over an Urban Continental Site Based on 10 Years of Active Remote Sensing Observations in Warsaw
* 2022: First Ever Observations of Mineral Dust in Wintertime over Warsaw, Poland
Heese, F.
* 2012: Estimation of Rapidly Time-Varying Harmonic Noise for Speech Enhancement
Heese, R.[Raoul]
* 2021: Adaptive Sampling of Pareto Frontiers with Binary Constraints Using Regression and Classification
Heesen, M.
* 2015: Interaction design of automatic steering for collision avoidance: challenges and potentials of driver decoupling
Heess, N.[Nicolas]
* 2009: Learning generative texture models with extended Fields-of-experts
* 2012: Shape Boltzmann Machine: A Strong Model of Object Shape, The
* 2014: Shape Boltzmann Machine: A Strong Model of Object Shape, The