Vig, E.[Eleonora]
* 2012: Intrinsic Dimensionality Predicts the Saliency of Natural Dynamic Scenes
* 2012: Saliency-based selection of sparse descriptors for action recognition
* 2012: Space-Variant Descriptor Sampling for Action Recognition Based on Saliency and Eye Movements
* 2014: Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images
* 2015: Online Domain Adaptation for Multi-Object Tracking
* 2016: End-to-End Saliency Mapping via Probability Distribution Prediction
* 2016: Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition
* 2016: VirtualWorlds as Proxy for Multi-object Tracking Analysis
* 2018: Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery
* 2019: SkyScapes: Fine-Grained Semantic Understanding of Aerial Scenes
* 2021: Aerial Road Segmentation in the Presence of Topological Label Noise
* 2021: Learning Attribute-driven Disentangled Representations for Interactive Fashion Retrieval
Includes: Vig, E.[Eleonora] Vig, E.
12 for Vig, E.
Vig, L.
* 2015: Pedestrian Detection via Mixture of CNN Experts and Thresholded Aggregated Channel Features
* 2017: Crowdsourcing for Chromosome Segmentation and Deep Classification
* 2017: Deterministic Policy Gradient Based Robotic Path Planning with Continuous Action Spaces
* 2017: Siamese Networks for Chromosome Classification
* 2018: Automatic Classification of Low-Resolution Chromosomal Images
* 2018: DrawInAir: A Lightweight Gestural Interface Based on Fingertip Regression
* 2020: Font-ProtoNet: Prototypical Network based Font Identification of Document Images in Low Data Regime
* 2020: Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction
* 2020: Meta-DermDiagnosis: Few-Shot Skin Disease Identification using Meta-Learning
* 2022: Handling Domain Shift for Lesion Detection via Semi-supervised Domain Adaptation
* 2023: Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning
* 2023: IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification
Includes: Vig, L. Vig, L.[Lovekesh]
12 for Vig, L.
Vig, R.[Renu]
* 2013: Correlation between Biopsy Confirmed Cases and Radiologist's Annotations in the Detection of Lung Nodules by Expanding the Diagnostic Database Using Content Based Image Retrieval
* 2018: DCA-based unimodal feature-level fusion of orthogonal moments for Indian sign language dataset
* 2020: From pyramids to state-of-the-art: a study and comprehensive comparison of visible-infrared image fusion techniques
* 2020: Medical fusion framework using discrete fractional wavelets and non-subsampled directional filter banks
* 2020: Taguchi-TOPSIS based HOG parameter selection for complex background sign language recognition