Bargal, S.A.[Sarah Adel]
* 2015: Adaptive Hashing for Fast Similarity Search
* 2015: Online supervised hashing
* 2016: Top-Down Neural Attention by Excitation Backprop
* 2017: Do less and achieve more: Training CNNs for action recognition utilizing action images from the Web
* 2017: MIHash: Online Hashing with Mutual Information
* 2017: Online supervised hashing
* 2018: Excitation Backprop for RNNs
* 2018: Hashing as Tie-Aware Learning to Rank
* 2018: Top-Down Neural Attention by Excitation Backprop
* 2019: Hashing with Mutual Information
* 2020: Moments in Time Dataset: One Million Videos for Event Understanding
* 2020: Multi-way Encoding for Robustness
* 2021: Distillation Multiple Choice Learning for Multimodal Action Recognition
* 2021: Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
* 2021: Explainable Deep Classification Models for Domain Generalization
* 2021: Guided Zoom: Zooming into Network Evidence to Refine Fine-Grained Model Decisions
* 2021: Student Engagement Dataset
* 2022: Multi-varied Cumulative Alignment for Domain Adaptation
* 2022: Simulated Adversarial Testing of Face Recognition Models
* 2022: ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes
Includes: Bargal, S.A.[Sarah Adel] Bargal, S.A.
20 for Bargal, S.A.
Bargaoui, Z.
* 2019: Sensitivity of Actual Evapotranspiration Estimation Using The Sebs Model to Variation of Input Parameters (lst, Dssf, Aerodynamics Parameters, Lai, Fvc)
Bargar, W.L.
* 1994: Image-Directed Robotic System For Precise Orthopedic-Surgery, An
Bargary, G.
* 2014: Counterphase modulation flicker photometry: Phenotypic and genotypic associations
* 2014: Individual differences provide psychophysical evidence for separate on- and off-pathways deriving from short-wave cones
Includes: Bargary, G. Bargary, G.[Gary]
Bargas Avila, J.A.
* 2011: Role of Visual Complexity in Affective Reactions to Webpages: Subjective, Eye Movement, and Cardiovascular Responses, The
Includes: Bargas Avila, J.A. Bargas-Avila, J.A.
Barge, O.[Olivier]
* 2015: Kite Recognition by Means of Graph Matching
* 2017: Graph-based approach for Kite recognition, A
Barger, P.J.
* 2006: On the Performance and Use of Speaker Recognition Systems for Surveillance
Bargeron, D.
* 2004: Sharing video annotations
* 2005: Boosting-based transductive learning for text detection
Barghi, W.
* 2020: Modeling of Emergency Evacuation In Building Fire
Bargi, A.[Ava]
* 2012: online HDP-HMM for joint action segmentation and classification in motion capture data, An
* 2014: Infinite Adaptive Online Learning Model for Segmentation and Classification of Streaming Data, An
Bargiel, D.
* 2011: Multi-Temporal Land-Cover Classification of Agricultural Areas in Two European Regions with High Resolution Spotlight TerraSAR-X Data
* 2017: Higher Order Dynamic Conditional Random Fields Ensemble for Crop Type Classification in Radar Images
Bargiela, A.[Andrzej]
* 2010: Fuzzy clustering with semantically distinct families of variables: Descriptive and predictive aspects
* 2011: Cybernetics of Vision Systems: Toward an Understanding of Putative Functions of the Outer Retina
Includes: Bargiela, A.[Andrzej] Bargiela, A.
Bargiotas, D.
* 2009: Measurement System for a Magnetostrictive Torque Sensor
* 2009: Scalable Low-Cost Automated Storage and Retrieval System, A
Bargiotas, I.[Ioannis]
* 2019: Local Assessment of Statokinesigram Dynamics in Time: An in-Depth Look at the Scoring Algorithm
Bargman, J.[Jonas]
* 2020: Holistic assessment of driver assistance systems: how can systems be assessed with respect to how they impact glance behaviour and collision avoidance?
* 2024: Exploring turn signal usage patterns in lane changes: A Bayesian hierarchical modelling analysis of realistic driving data
Includes: Bargman, J.[Jonas] Bärgman, J.[Jonas] (Maybe also Baergman, J.)
Bargshady, G.[Ghazal]
* 2022: Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images
Bargteil, A.
* 2020: Learning to Shadow Hand-Drawn Sketches
Bargteil, A.W.[Adam W.]
* 2008: Guide to the Carnegie Mellon University Multimodal Activity (CMU-MMAC) Database