Gaida, T.C.[Timo C.]
* 2019: Mapping the Seabed and Shallow Subsurface with Multi-Frequency Multibeam Echosounders
Gaidhane, V.H.[Vilas H.]
* 2014: efficient approach for face recognition based on common eigenvalues, An
* 2015: Image focus measure based on polynomial coefficients and spectral radius
* 2018: Daubechies wavelet-based local feature descriptor for multimodal medical image registration
* 2018: Medical image rigid registration using a novel binary feature descriptor and modified affine transform
* 2024: no-reference image quality assessment model based on neighborhood component analysis and Gaussian process, A
Gaidi, S.[Seifeddine]
* 2021: Analysis of the Geological Controls and Kinematics of the Chgega Landslide (Mateur, Tunisia) Exploiting Photogrammetry and InSAR Technologies
Gaidon, A.[Adrien]
* 2009: Mining visual actions from movies
* 2011: Actom sequence models for efficient action detection
* 2011: time series kernel for action recognition, A
* 2012: Recognizing activities with cluster-trees of tracklets
* 2013: Temporal Localization of Actions with Actoms
* 2014: Activity representation with motion hierarchies
* 2015: Deep Fishing: Gradient Features from Deep Nets
* 2015: Online Domain Adaptation for Multi-Object Tracking
* 2016: Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition
* 2016: VirtualWorlds as Proxy for Multi-object Tracking Analysis
* 2017: Procedural Generation of Videos to Train Deep Action Recognition Networks
* 2018: Reasonable Effectiveness of Synthetic Visual Data, The
* 2019: Exploring the Limitations of Behavior Cloning for Autonomous Driving
* 2019: ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape
* 2020: 3D Packing for Self-Supervised Monocular Depth Estimation
* 2020: Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors
* 2020: Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision
* 2020: Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models
* 2020: It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction
* 2020: Monocular Differentiable Rendering for Self-supervised 3D Object Detection
* 2020: Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
* 2020: Real-Time Panoptic Segmentation From Dense Detections
* 2020: Spatio-Temporal Graph for Video Captioning With Knowledge Distillation
* 2021: CoCon: Cooperative-Contrastive Learning
* 2021: Geometric Unsupervised Domain Adaptation for Semantic Segmentation
* 2021: Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation
* 2021: Is Pseudo-Lidar needed for Monocular 3D Object detection?
* 2021: Learning to Track with Object Permanence
* 2021: Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion
* 2021: Warp-Refine Propagation: Semi-Supervised Auto-Labeling via Cycle-Consistency
* 2022: Depth Field Networks For Generalizable Multi-View Scene Representation
* 2022: Discovering Objects that Can Move
* 2022: Multi-Frame Self-Supervised Depth with Transformers
* 2022: Photo-realistic Neural Domain Randomization
* 2022: S2Net: Stochastic Sequential Pointcloud Forecasting
* 2022: ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization
* 2023: Breaking the Object in Video Object Segmentation
* 2023: DeLiRa: Self-Supervised Depth, Light, and Radiance Fields
* 2023: Multi-Object Manipulation via Object-Centric Neural Scattering Functions
* 2023: NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
* 2023: Object Discovery from Motion-Guided Tokens
* 2023: Towards Zero-Shot Scale-Aware Monocular Depth Estimation
* 2023: Viewpoint Equivariance for Multi-View 3D Object Detection
Includes: Gaidon, A.[Adrien] Gaidon, A.
43 for Gaidon, A.
Gaidon, T.
* 1994: Motion estimation based on Markov random fields
* 1994: Pyramidal lattice vector quantization for multiscale image coding
* 1996: Non-additive noise and optimal correlation
* 2009: Statistical-based linear vessel structure detection in medical images
* 2018: Alzheimer's Disease Diagnosis with FDG-PET Brain Images By Using Multi-Level Features
* 2021: Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging
Includes: Gaidon, T. Gaidon, T.[Thierry]