Fidler, F.
* 2014: MRI Meets MPI: A Bimodal MPI-MRI Tomograph
Fidler, S.[Sanja]
* 2006: Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling
* 2006: Hierarchical Statistical Learning of Generic Parts of Object Structure
* 2007: Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts
* 2008: Selecting features for object detection using an Adaboost-compatible evaluation function
* 2008: Similarity-based cross-layered hierarchical representation for object categorization
* 2009: bottom-up and top-down optimization framework for learning a compositional hierarchy of object classes, A
* 2009: Optimization framework for learning a hierarchical shape vocabulary for object class detection
* 2010: Coarse-to-Fine Taxonomy of Constellations for Fast Multi-class Object Detection, A
* 2011: probabilistic model for recursive factorized image features, A
* 2012: Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation
* 2012: Learning Categorical Shape from Captioned Images
* 2012: Superedge grouping for object localization by combining appearance and shape information
* 2013: Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs
* 2013: Bottom-Up Segmentation for Top-Down Detection
* 2013: Box in the Box: Joint 3D Layout and Object Reasoning from Single Images
* 2013: Detecting Curved Symmetric Parts Using a Deformable Disc Model
* 2013: Holistic Scene Understanding for 3D Object Detection with RGBD Cameras
* 2013: Sentence Is Worth a Thousand Pixels, A
* 2014: Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision
* 2014: Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts
* 2014: High Performance CRF Model for Clothes Parsing, A
* 2014: Multi-cue Mid-level Grouping
* 2014: Role of Context for Object Detection and Semantic Segmentation in the Wild, The
* 2014: Visual Semantic Search: Retrieving Videos via Complex Textual Queries
* 2014: What Are You Talking About? Text-to-Image Coreference
* 2015: Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books
* 2015: Enhancing Road Maps by Parsing Aerial Images Around the World
* 2015: Generating Multi-sentence Natural Language Descriptions of Indoor Scenes
* 2015: Holistic 3D scene understanding from a single geo-tagged image
* 2015: Learning to Combine Mid-Level Cues for Object Proposal Generation
* 2015: Lost Shopping! Monocular Localization in Large Indoor Spaces
* 2015: Monocular Object Instance Segmentation and Depth Ordering with CNNs
* 2015: Neuroaesthetics in fashion: Modeling the perception of fashionability
* 2015: Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions
* 2015: Real-time coarse-to-fine topologically preserving segmentation
* 2015: Rent3D: Floor-plan priors for monocular layout estimation
* 2015: segDeepM: Exploiting segmentation and context in deep neural networks for object detection
* 2016: HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images
* 2016: HouseCraft: Building Houses from Rental Ads and Street Views
* 2016: Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding
* 2016: Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs
* 2016: Monocular 3D Object Detection for Autonomous Driving
* 2016: MovieQA: Understanding Stories in Movies through Question-Answering
* 2017: 3D Graph Neural Networks for RGBD Semantic Segmentation
* 2017: Annotating Object Instances with a Polygon-RNN
* 2017: Be Your Own Prada: Fashion Synthesis with Structural Coherence
* 2017: Open Vocabulary Scene Parsing
* 2017: Scene Parsing through ADE20K Dataset
* 2017: SGN: Sequential Grouping Networks for Instance Segmentation
* 2017: Situation Recognition with Graph Neural Networks
* 2017: Sports Field Localization via Deep Structured Models
* 2017: TorontoCity: Seeing the World with a Million Eyes
* 2017: Towards Diverse and Natural Image Descriptions via a Conditional GAN
* 2018: 3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection
* 2018: Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++
* 2018: Face-to-Face Neural Conversation Model, A
* 2018: Learning to Act Properly: Predicting and Explaining Affordances from Images
* 2018: MovieGraphs: Towards Understanding Human-Centric Situations from Videos
* 2018: Now You Shake Me: Towards Automatic 4D Cinema
* 2018: Scaling Egocentric Vision: The Epic Kitchens Dataset
* 2018: SurfConv: Bridging 3D and 2D Convolution for RGBD Images
* 2018: VirtualHome: Simulating Household Activities Via Programs
* 2019: Action Recognition From Single Timestamp Supervision in Untrimmed Videos
* 2019: Creative Flow+ Dataset
* 2019: DARNet: Deep Active Ray Network for Building Segmentation
* 2019: Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations
* 2019: DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation
* 2019: Fast Interactive Object Annotation With Curve-GCN
* 2019: Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
* 2019: Learning to Caption Images Through a Lifetime by Asking Questions
* 2019: Meta-Sim: Learning to Generate Synthetic Datasets
* 2019: Neural Turtle Graphics for Modeling City Road Layouts
* 2019: Object Instance Annotation With Deep Extreme Level Set Evolution
* 2019: Semantic Understanding of Scenes Through the ADE20K Dataset
* 2019: Synthesizing Environment-Aware Activities via Activity Sketches
* 2019: Video Face Clustering With Unknown Number of Clusters
* 2020: Auto-Tuning Structured Light by Optical Stochastic Gradient Descent
* 2020: Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid
* 2020: Expressive Telepresence via Modular Codec Avatars
* 2020: Interactive Annotation of 3d Object Geometry Using 2d Scribbles
* 2020: Learning to Evaluate Perception Models Using Planner-Centric Metrics
* 2020: Learning to Simulate Dynamic Environments With GameGAN
* 2020: Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D
* 2020: Meta-SIM2: Unsupervised Learning of Scene Structure for Synthetic Data Generation
* 2020: Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data
* 2020: Scribblebox: Interactive Annotation Framework for Video Object Segmentation
* 2021: 3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations
* 2021: Causal BERT: Improving object detection by searching for challenging groups
* 2021: DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
* 2021: DriveGAN: Towards a Controllable High-Quality Neural Simulation
* 2021: EPIC-KITCHENS Dataset: Collection, Challenges and Baselines, The
* 2021: Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting
* 2021: Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
* 2021: Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks
* 2021: Physics-based Human Motion Estimation and Synthesis from Videos
* 2021: Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
* 2021: Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets
* 2022: AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis
* 2022: BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations
* 2022: Extracting Triangular 3D Models, Materials, and Lighting From Images
* 2022: Frame Averaging for Equivariant Shape Space Learning
* 2022: Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior
* 2022: How Much More Data Do I Need? Estimating Requirements for Downstream Tasks
* 2022: MvDeCor: Multi-view Dense Correspondence Learning for Fine-Grained 3D Segmentation
* 2022: Neural Fields as Learnable Kernels for 3D Reconstruction
* 2022: Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion
* 2022: Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps
* 2023: Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
* 2023: ATT3D: Amortized Text-to-3D Object Synthesis
* 2023: DreamTeacher: Pretraining Image Backbones with Deep Generative Models
* 2023: End-to-end 3D Tracking with Decoupled Queries
* 2023: Learning Human Dynamics in Autonomous Driving Scenarios
* 2023: Magic3D: High-Resolution Text-to-3D Content Creation
* 2023: Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes
* 2023: Neural Kernel Surface Reconstruction
* 2023: Neural LiDAR Fields for Novel View Synthesis
* 2023: NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models
* 2023: TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models
* 2023: Towards Viewpoint Robustness in Bird's Eye View Segmentation
* 2023: Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
* 2023: VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion
Includes: Fidler, S.[Sanja] Fidler, S. Fidler, S.[Sania]
121 for Fidler, S.
Fidler, T.[Thomas]
* 2012: Shape Reconstruction with A Priori Knowledge Based on Integral Invariants