Index for chur

Churamani, N. * 2020: CLIFER: Continual Learning with Imagination for Facial Expression Recognition
* 2020: FaceChannel: A Light-weight Deep Neural Network for Facial Expression Recognition., The
* 2021: AULA-Caps: Lifecycle-Aware Capsule Networks for Spatio-Temporal Analysis of Facial Actions
* 2022: CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions
* 2023: Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
* 2023: Latent Generative Replay for Resource-Efficient Continual Learning of Facial Expressions
Includes: Churamani, N. Churamani, N.[Nikhil]

Churbanov, D.[Dmitry] * 2021: Concept of 2U Spaceborne Multichannel Heterodyne Spectroradiometer for Greenhouse Gases Remote Sensing, A

Church, K.[Kenneth] * 2021: Exploring Long Tail Visual Relationship Recognition with Large Vocabulary

Church, K.W. * 1994: Using OCR and equalization to downsample documents

Church, P. * 2006: Electrical Impedance Tomographic Imaging of Buried Landmines
* 2017: Steerable LiDAR platform based on a 3D laser scanner using prisms
Includes: Church, P. Church, P.[Philip]

Church, R.L.[Richard L.] * 2018: Shortest Paths from a Group Perspective: A Note on Selfish Routing Games with Cognitive Agents

Church, W.[Warren] * 2024: Assessing Conservation Conditions at La Fortaleza de Kuelap, Peru, Based on Integrated Close-Range Remote Sensing and Near-Surface Geophysics

Churcher, C.D. * 2008: Edge-based detection of sky regions in images for solar exposure prediction

Churchfield, M.J.[Matthew J.] * 2016: Wind Turbine Wake Characterization from Temporally Disjunct 3-D Measurements

Churchill, E.F.[Elizabeth F.] * 2012: Watching and talking: media content as social nexus

Churchill, K.M. * 2012: Comparison of the Finite-Element Method and Analytical Method for Modeling Unexploded Ordnance Using Magnetometry, A

Churchill, N.W.[Nathan W.] * 2012: Model sparsity and brain pattern interpretation of classification models in neuroimaging

Chureesampant, K. * 2014: Automatic GCP Extraction of Fully Polarimetric SAR Images

Churikov, D.[Dmitry] * 2009: Spectral Estimation of Digital Signals by the Orthogonal Kravchenko Wavelets {ha(t)~}

Churikova, M. * 2020: HeartTrack: Convolutional neural network for remote video-based heart rate monitoring
* 2020: Neurodata Lab's approach to the Challenge on Computer Vision for Physiological Measurement

Churilova, T.[Tatiana] * 2023: Light Absorption by Optically Active Components in the Arctic Region (August 2020) and the Possibility of Application to Satellite Products for Water Quality Assessment
* 2023: Parameterization of Light Absorption of Phytoplankton, Non-Algal Particles and Coloured Dissolved Organic Matter in the Atlantic Region of the Southern Ocean (Austral Summer of 2020)

Churkin, A. * 2005: Pattern Recognition Method to Detect Vulnerable Spots in an RNA Sequence for Bacterial Resistance to the Antibiotic Spectinomycin

Churkina, G.[Galina] * 2014: Using Airborne LiDAR and QuickBird Data for Modelling Urban Tree Carbon Storage and Its Distribution: A Case Study of Berlin
* 2020: Measuring and Monitoring Urban Impacts on Climate Change from Space

Churko, G.[Gregory] * 2020: Multispecies Assessment to Identify the Functional Connectivity of Amphibians in a Human-Dominated Landscape, A

Churnside, J.H.[James H.] * 2013: Subsurface Ocean Signals from an Orbiting Polarization Lidar
* 2017: Optical Backscattering Measured by Airborne Lidar and Underwater Glider
* 2018: Ocean Backscatter Profiling Using High-Spectral-Resolution Lidar and a Perturbation Retrieval
* 2021: Airborne Lidar Observations of a Spring Phytoplankton Bloom in the Western Arctic Ocean

Index for "c"


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