Hoiem, D.
* 2004: Object-based image retrieval using the statistical structure of images
* 2005: Computer Vision for Music Identification
* 2005: Computer Vision for Music Identification: Video Demonstration
* 2005: Geometric Context from a Single Image
* 2006: Putting Objects in Perspective
* 2006: Semantic Learning for Audio Applications: A Computer Vision Approach
* 2007: 3D Layout CRF for Multi-View Object Class Recognition and Segmentation
* 2007: Learning to Find Object Boundaries Using Motion Cues
* 2007: Recovering Occlusion Boundaries from a Single Image
* 2007: Recovering Surface Layout from an Image
* 2007: Seeing the World Behind the Image: Spatial Layout for 3D Scene Understanding
* 2008: Closing the loop in scene interpretation
* 2008: Learning CRFs Using Graph Cuts
* 2008: Putting Objects in Perspective
* 2009: Building text features for object image classification
* 2009: Describing objects by their attributes
* 2009: empirical study of context in object detection, An
* 2009: Learning image similarity from Flickr groups using Stochastic Intersection Kernel Machines
* 2009: Recovering the spatial layout of cluttered rooms
* 2010: Attribute-centric recognition for cross-category generalization
* 2010: benefits and challenges of collecting richer object annotations, The
* 2010: Category Independent Object Proposals
* 2010: Comparative object similarity for improved recognition with few or no examples
* 2010: Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry
* 2011: Recovering Occlusion Boundaries from an Image
* 2011: Single-image shadow detection and removal using paired regions
* 2012: Beyond the Line of Sight: Labeling the Underlying Surfaces
* 2012: data driven method for feature transformation, A
* 2012: Diagnosing Error in Object Detectors
* 2012: Indoor Segmentation and Support Inference from RGBD Images
* 2012: Learning Image Similarity from Flickr Groups Using Fast Kernel Machines
* 2012: Learning shared body plans
* 2012: Learning to localize detected objects
* 2012: Recovering free space of indoor scenes from a single image
* 2013: Boundary Cues for 3D Object Shape Recovery
* 2013: Improved Object Categorization and Detection Using Comparative Object Similarity
* 2013: Learning Collections of Part Models for Object Recognition
* 2013: Paired Regions for Shadow Detection and Removal
* 2013: Support Surface Prediction in Indoor Scenes
* 2014: Category-Independent Object Proposals with Diverse Ranking
* 2015: Completing 3D object shape from one depth image
* 2015: Family Member Identification from Photo Collections
* 2015: Guest Editorial: Scene Understanding
* 2015: Labeling Complete Surfaces in Scene Understanding
* 2015: Learning a sequential search for landmarks
* 2015: Learning Discriminative Collections of Part Detectors for Object Recognition
* 2015: Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization
* 2016: Geometry-Informed Material Recognition
* 2016: Learning to Localize Little Landmarks
* 2016: Learning Without Forgetting
* 2016: Where to Look: Focus Regions for Visual Question Answering
* 2017: 3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
* 2017: Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks
* 2017: ChromaTag: A Colored Marker and Fast Detection Algorithm
* 2018: FEATS: Synthetic Feature Tracks for Structure from Motion Evaluation
* 2018: Imagine This! Scripts to Compositions to Videos
* 2018: Improved Structure from Motion Using Fiducial Marker Matching
* 2018: LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
* 2018: Learning Without Forgetting
* 2018: Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction
* 2019: Complete 3D Scene Parsing from an RGBD Image
* 2019: No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques
* 2019: ViCo: Word Embeddings From Visual Co-Occurrences
* 2020: Contrastive Learning for Weakly Supervised Phrase Grounding
* 2020: Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion
* 2020: Improving Confidence Estimates for Unfamiliar Examples
* 2020: Improving Structure from Motion with Reliable Resectioning
* 2020: Silhouette Guided Point Cloud Reconstruction beyond Occlusion
* 2021: Editorial: Introduction to the Special Section on CVPR2019 Best Papers
* 2021: Manhattan Room Layout Reconstruction from a Single 360° Image: A Comparative Study of State-of-the-Art Methods
* 2021: PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility
* 2021: Task-Assisted Domain Adaptation with Anchor Tasks
* 2022: Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture
* 2022: Webly Supervised Concept Expansion for General Purpose Vision Models
* 2024: Consistent Multimodal Generation via A Unified GAN Framework
Includes: Hoiem, D. Hoiem, D.[Derek]
75 for Hoiem, D.
Hoier, R.K.[Rasmus Kjær]
* 2022: AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks
Includes: Hoier, R.K.[Rasmus Kjær] Høier, R.K.[Rasmus Kjær]