Sanja Fidler

According to our database1, Sanja Fidler authored at least 155 papers between 2003 and 2021.

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Bibliography

2021
DriveGAN: Towards a Controllable High-Quality Neural Simulation.
CoRR, 2021

Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets.
CoRR, 2021

DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort.
CoRR, 2021

Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization.
CoRR, 2021

Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection.
CoRR, 2021

gradSim: Differentiable simulation for system identification and visuomotor control.
CoRR, 2021

Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks.
CoRR, 2021

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes.
CoRR, 2021

2020
Nonlinear color triads for approximation, learning and direct manipulation of color distributions.
ACM Trans. Graph., 2020

Personalized Federated Learning with First Order Model Optimization.
CoRR, 2020

UniCon: Universal Neural Controller For Physics-based Character Motion.
CoRR, 2020

Emergent Road Rules In Multi-Agent Driving Environments.
CoRR, 2020

Learning Deformable Tetrahedral Meshes for 3D Reconstruction.
CoRR, 2020

Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration.
CoRR, 2020

The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes.
CoRR, 2020

Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering.
CoRR, 2020

Fed-Sim: Federated Simulation for Medical Imaging.
CoRR, 2020

ScribbleBox: Interactive Annotation Framework for Video Object Segmentation.
CoRR, 2020

Learning to Generate Diverse Dance Motions with Transformer.
CoRR, 2020

The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines.
CoRR, 2020

Variational Amodal Object Completion.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Deformable Tetrahedral Meshes for 3D Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Federated Simulation for Medical Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Efficient and Information-Preserving Future Frame Prediction and Beyond.
Proceedings of the 8th International Conference on Learning Representations, 2020

A Theoretical Analysis of the Number of Shots in Few-Shot Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Interactive Annotation of 3D Object Geometry Using 2D Scribbles.
Proceedings of the Computer Vision - ECCV 2020, 2020

Implementing Planning KL-Divergence.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D.
Proceedings of the Computer Vision - ECCV 2020, 2020

Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid.
Proceedings of the Computer Vision - ECCV 2020, 2020

Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Expressive Telepresence via Modular Codec Avatars.
Proceedings of the Computer Vision - ECCV 2020, 2020

ScribbleBox: Interactive Annotation Framework for Video Object Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Evaluate Perception Models Using Planner-Centric Metrics.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Simulate Dynamic Environments With GameGAN.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Auto-Tuning Structured Light by Optical Stochastic Gradient Descent.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Semantic Understanding of Scenes Through the ADE20K Dataset.
Int. J. Comput. Vis., 2019

The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries.
CoRR, 2019

Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research.
CoRR, 2019

CrevNet: Conditionally Reversible Video Prediction.
CoRR, 2019

Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing.
CoRR, 2019

ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning.
CoRR, 2019

Identifying Clinical Terms in Free-Text Notes Using Ontology-Guided Machine Learning.
Proceedings of the Research in Computational Molecular Biology, 2019

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis.
Proceedings of the 36th International Conference on Machine Learning, 2019

Neural Graph Evolution: Towards Efficient Automatic Robot Design.
Proceedings of the 7th International Conference on Learning Representations, 2019

Visual Reasoning by Progressive Module Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Video Face Clustering With Unknown Number of Clusters.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Gated-SCNN: Gated Shape CNNs for Semantic Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning to Caption Images Through a Lifetime by Asking Questions.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Meta-Sim: Learning to Generate Synthetic Datasets.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Neural Turtle Graphics for Modeling City Road Layouts.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Object Instance Annotation With Deep Extreme Level Set Evolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Creative Flow+ Dataset.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Action Recognition From Single Timestamp Supervision in Untrimmed Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Fast Interactive Object Annotation With Curve-GCN.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Synthesizing Environment-Aware Activities via Activity Sketches.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

DARNet: Deep Active Ray Network for Building Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Color Builder: A Direct Manipulation Interface for Versatile Color Theme Authoring.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Lifelong Learning for Image Captioning by Asking Natural Language Questions.
CoRR, 2018

Color Sails: Discrete-Continuous Palettes for Deep Color Exploration.
CoRR, 2018

Progressive Reasoning by Module Composition.
CoRR, 2018

Scaling Egocentric Vision: The EPIC-KITCHENS Dataset.
CoRR, 2018

A Neural Compositional Paradigm for Image Captioning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Pose Estimation for Objects with Rotational Symmetry.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

NerveNet: Learning Structured Policy with Graph Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Scaling Egocentric Vision: The Dataset.
Proceedings of the Computer Vision - ECCV 2018, 2018

Now You Shake Me: Towards Automatic 4D Cinema.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

MovieGraphs: Towards Understanding Human-Centric Situations From Videos.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

VirtualHome: Simulating Household Activities via Programs.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning to Act Properly: Predicting and Explaining Affordances From Images.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

SurfConv: Bridging 3D and 2D Convolution for RGBD Images.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

A Face-to-Face Neural Conversation Model.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

VSE++: Improving Visual-Semantic Embeddings with Hard Negatives.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Teaching Machines to Describe Images via Natural Language Feedback.
CoRR, 2017

VSE++: Improved Visual-Semantic Embeddings.
CoRR, 2017

Teaching Machines to Describe Images with Natural Language Feedback.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Find your way by observing the sun and other semantic cues.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Song From PI: A Musically Plausible Network for Pop Music Generation.
Proceedings of the 5th International Conference on Learning Representations, 2017

Be Your Own Prada: Fashion Synthesis with Structural Coherence.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Open Vocabulary Scene Parsing.
Proceedings of the IEEE International Conference on Computer Vision, 2017

TorontoCity: Seeing the World with a Million Eyes.
Proceedings of the IEEE International Conference on Computer Vision, 2017

3D Graph Neural Networks for RGBD Semantic Segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

SGN: Sequential Grouping Networks for Instance Segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Situation Recognition with Graph Neural Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Towards Diverse and Natural Image Descriptions via a Conditional GAN.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Scene Parsing through ADE20K Dataset.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Sports Field Localization via Deep Structured Models.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Annotating Object Instances with a Polygon-RNN.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Semantic Understanding of Scenes through the ADE20K Dataset.
CoRR, 2016

Efficient Summarization with Read-Again and Copy Mechanism.
CoRR, 2016

Order-Embeddings of Images and Language.
Proceedings of the 4th International Conference on Learning Representations, 2016

Soccer Field Localization from a Single Image.
CoRR, 2016

Proximal Deep Structured Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

HouseCraft: Building Houses from Rental Ads and Street Views.
Proceedings of the Computer Vision - ECCV 2016, 2016

Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

MovieQA: Understanding Stories in Movies through Question-Answering.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Monocular 3D Object Detection for Autonomous Driving.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
A Framework for Symmetric Part Detection in Cluttered Scenes.
Symmetry, 2015

Instance-Level Segmentation with Deep Densely Connected MRFs.
CoRR, 2015

Generating Multi-Sentence Lingual Descriptions of Indoor Scenes.
CoRR, 2015

Skip-Thought Vectors.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

3D Object Proposals for Accurate Object Class Detection.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Monocular Object Instance Segmentation and Depth Ordering with CNNs.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Lost Shopping! Monocular Localization in Large Indoor Spaces.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Enhancing Road Maps by Parsing Aerial Images Around the World.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning to Combine Mid-Level Cues for Object Proposal Generation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

segDeepM: Exploiting segmentation and context in deep neural networks for object detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Real-time coarse-to-fine topologically preserving segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Holistic 3D scene understanding from a single geo-tagged image.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Neuroaesthetics in fashion: Modeling the perception of fashionability.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Rent3D: Floor-plan priors for monocular layout estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Generating Multi-sentence Natural Language Descriptions of Indoor Scenes.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding.
CoRR, 2014

Learning a Hierarchical Compositional Shape Vocabulary for Multi-class Object Representation.
CoRR, 2014

The Role of Context for Object Detection and Semantic Segmentation in the Wild.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Visual Semantic Search: Retrieving Videos via Complex Textual Queries.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

What Are You Talking About? Text-to-Image Coreference.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

A High Performance CRF Model for Clothes Parsing.
Proceedings of the Computer Vision - ACCV 2014, 2014

Multi-cue Mid-level Grouping.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Box in the Box: Joint 3D Layout and Object Reasoning from Single Images.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Holistic Scene Understanding for 3D Object Detection with RGBD Cameras.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Detecting Curved Symmetric Parts Using a Deformable Disc Model.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

A Sentence Is Worth a Thousand Pixels.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Bottom-Up Segmentation for Top-Down Detection.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Unsupervised Disambiguation of Image Captions.
Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Superedge grouping for object localization by combining appearance and shape information.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Learning Categorical Shape from Captioned Images.
Proceedings of the Ninth Conference on Computer and Robot Vision, 2012

2011
A probabilistic model for recursive factorized image features.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
A Coarse-to-Fine Taxonomy of Constellations for Fast Multi-class Object Detection.
Proceedings of the Computer Vision - ECCV 2010, 2010

Categorical Perception.
Proceedings of the Cognitive Systems, 2010

2009
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

A bottom-up and top-down optimization framework for learning a compositional hierarchy of object classes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

Optimization Framework for Learning a Hierarchical Shape Vocabulary for Object Class Detection.
Proceedings of the British Machine Vision Conference, 2009

2008
Selecting features for object detection using an AdaBoost-compatible evaluation function.
Pattern Recognit. Lett., 2008

Similarity-based cross-layered hierarchical representation for object categorization.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Learning Hierarchical Representations of Object Categories for Robot Vision.
Proceedings of the Robotics Research - The 13th International Symposium, 2007

Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Hierarchical Statistical Learning of Generic Parts of Object Structure.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2003
Robust LDA Classification by Subsampling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2003


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