Deva Ramanan

Orcid: 0009-0008-9180-8983

According to our database1, Deva Ramanan authored at least 235 papers between 2000 and 2024.

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Bibliography

2024
Neural Eulerian Scene Flow Fields.
CoRR, 2024

DressRecon: Freeform 4D Human Reconstruction from Monocular Video.
CoRR, 2024

Lidar Panoptic Segmentation in an Open World.
CoRR, 2024

DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction.
CoRR, 2024

Fast and Modular Autonomy Software for Autonomous Racing Vehicles.
CoRR, 2024

Simultaneous Map and Object Reconstruction.
CoRR, 2024

GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation.
CoRR, 2024

Planning with Adaptive World Models for Autonomous Driving.
CoRR, 2024

Shelf-Supervised Multi-Modal Pre-Training for 3D Object Detection.
CoRR, 2024

Neural Representations of Dynamic Visual Stimuli.
CoRR, 2024

Predicting Long-horizon Futures by Conditioning on Geometry and Time.
CoRR, 2024

FlashTex: Fast Relightable Mesh Texturing with LightControlNet.
CoRR, 2024

Re-Evaluating LiDAR Scene Flow.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Revisiting the Role of Language Priors in Vision-Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ZeroFlow: Scalable Scene Flow via Distillation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Cameras as Rays: Pose Estimation via Ray Diffusion.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Better Call SAL: Towards Learning to Segment Anything in Lidar.
Proceedings of the Computer Vision - ECCV 2024, 2024

Evaluating Text-to-Visual Generation with Image-to-Text Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

I Can't Believe It's Not Scene Flow!
Proceedings of the Computer Vision - ECCV 2024, 2024

HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

The Neglected Tails in Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Language Models as Black-Box Optimizers for Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Evaluating and Improving Compositional Text-to-Visual Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis.
Proceedings of the International Conference on 3D Vision, 2024

RelPose++: Recovering 6D Poses from Sparse-view Observations.
Proceedings of the International Conference on 3D Vision, 2024

2023
SLoMo: A General System for Legged Robot Motion Imitation From Casual Videos.
IEEE Robotics Autom. Lett., November, 2023

Revisiting Few-Shot Object Detection with Vision-Language Models.
CoRR, 2023

Tracking Any Object Amodally.
CoRR, 2023

Long-Tailed 3D Detection via 2D Late Fusion.
CoRR, 2023

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM.
CoRR, 2023

Evaluating a VR System for Collecting Safety-Critical Vehicle-Pedestrian Interactions.
CoRR, 2023

Thinking Like an Annotator: Generation of Dataset Labeling Instructions.
CoRR, 2023

VisualGPTScore: Visio-Linguistic Reasoning with Multimodal Generative Pre-Training Scores.
CoRR, 2023

ZeroFlow: Fast Zero Label Scene Flow via Distillation.
CoRR, 2023

SLoMo: A General System for Legged Robot Motion Imitation from Casual Videos.
CoRR, 2023

Re-Evaluating LiDAR Scene Flow for Autonomous Driving.
CoRR, 2023

Far3Det: Towards Far-Field 3D Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

PyNeRF: Pyramidal Neural Radiance Fields.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Edge-based Privacy-Sensitive Live Learning for Discovery of Training Data.
Proceedings of the 1st International Workshop on Networked AI Systems, 2023

Low-Bandwidth Self-Improving Transmission of Rare Training Data.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Streaming Motion Forecasting for Autonomous Driving.
IROS, 2023

Lidar Panoptic Segmentation and Tracking without Bells and Whistles.
IROS, 2023

Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation.
Proceedings of the International Conference on Machine Learning, 2023

An Empirical Analysis of Range for 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PPR: Physically Plausible Reconstruction from Monocular Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Joint Metrics Matter: A Better Standard for Trajectory Forecasting.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Reconstructing Animatable Categories from Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Pix2Map: Cross-Modal Retrieval for Inferring Street Maps from Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SUDS: Scalable Urban Dynamic Scenes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning to Zoom and Unzoom.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Distilling Neural Fields for Real-Time Articulated Shape Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Soft Augmentation for Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

3D-aware Conditional Image Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TarViS: A Unified Approach for Target-Based Video Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning with an Evolving Class Ontology.
CoRR, 2022

Differentiable Soft-Masked Attention.
CoRR, 2022

Robust Modeling and Controls for Racing on the Edge.
CoRR, 2022

Continual Learning with Evolving Class Ontologies.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Discover and Detect Objects.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild.
Proceedings of the Computer Vision - ECCV 2022, 2022

Differentiable Raycasting for Self-Supervised Occupancy Forecasting.
Proceedings of the Computer Vision - ECCV 2022, 2022

Multimodal Object Detection via Probabilistic Ensembling.
Proceedings of the Computer Vision - ECCV 2022, 2022

BANMo: Building Animatable 3D Neural Models from Many Casual Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly- Throughs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Forecasting from LiDAR via Future Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Opening up Open World Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Depth-supervised NeRF: Fewer Views and Faster Training for Free.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Long- Tailed Recognition via Weight Balancing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Long-Tailed 3D Detection.
Proceedings of the Conference on Robot Learning, 2022

2021
Streaming Self-Training via Domain-Agnostic Unlabeled Images.
CoRR, 2021

Multimodal Object Detection via Bayesian Fusion.
CoRR, 2021

Video Exploration via Video-Specific Autoencoders.
CoRR, 2021

Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details.
CoRR, 2021

NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

The CLEAR Benchmark: Continual LEArning on Real-World Imagery.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Unsupervised Audiovisual Synthesis via Exemplar Autoencoders.
Proceedings of the 9th International Conference on Learning Representations, 2021

FOVEA: Foveated Image Magnification for Autonomous Navigation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Do Image Classifiers Generalize Across Time?
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Rare Category Classifiers on a Tight Labeling Budget.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

OpenGAN: Open-Set Recognition via Open Data Generation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Detecting Invisible People.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LASR: Learning Articulated Shape Reconstruction From a Monocular Video.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning To Segment Rigid Motions From Two Frames.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Background Splitting: Finding Rare Classes in a Sea of Background.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Safe Local Motion Planning With Self-Supervised Freespace Forecasting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning to Optimally Segment Point Clouds.
IEEE Robotics Autom. Lett., 2020

What-If Motion Prediction for Autonomous Driving.
CoRR, 2020

Towards Streaming Image Understanding.
CoRR, 2020

Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders.
CoRR, 2020

Learning to Move with Affordance Maps.
Proceedings of the 8th International Conference on Learning Representations, 2020

Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints.
Proceedings of the 8th International Conference on Learning Representations, 2020

MetaPix: Few-Shot Video Retargeting.
Proceedings of the 8th International Conference on Learning Representations, 2020

CATER: A diagnostic dataset for Compositional Actions & TEmporal Reasoning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild.
Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Streaming Perception.
Proceedings of the Computer Vision - ECCV 2020, 2020

TAO: A Large-Scale Benchmark for Tracking Any Object.
Proceedings of the Computer Vision - ECCV 2020, 2020

Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

What You See is What You Get: Exploiting Visibility for 3D Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

4D Visualization of Dynamic Events From Unconstrained Multi-View Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Cross-Domain Image Matching with Deep Feature Maps.
Int. J. Comput. Vis., 2019

Learning to Track Any Object.
CoRR, 2019

CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning.
CoRR, 2019

A systematic framework for natural perturbations from videos.
CoRR, 2019

Towards Segmenting Everything That Moves.
CoRR, 2019

Photo-Sketching: Inferring Contour Drawings From Images.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Volumetric Correspondence Networks for Optical Flow.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Inferring Distributions Over Depth from a Single Image.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Active Learning with Partial Feedback.
Proceedings of the 7th International Conference on Learning Representations, 2019

Recognizing Tiny Faces.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Are we Asking the Right Questions in MovieQA?
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Towards Segmenting Anything That Moves.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Meta-Learning to Detect Rare Objects.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Towards Latent Attribute Discovery From Triplet Similarities.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Weakly-Supervised Action Localization With Background Modeling.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Online Model Distillation for Efficient Video Inference.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DistInit: Learning Video Representations Without a Single Labeled Video.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Hierarchical Deep Stereo Matching on High-Resolution Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Argoverse: 3D Tracking and Forecasting With Rich Maps.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Shapes and Context: In-The-Wild Image Synthesis & Manipulation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Comparing apples and oranges: Off-road pedestrian detection on the National Robotics Engineering Center agricultural person-detection dataset.
J. Field Robotics, 2018

Depth-Based Hand Pose Estimation: Methods, Data, and Challenges.
Int. J. Comput. Vis., 2018

The More You Look, the More You See: Towards General Object Understanding Through Recursive Refinement.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Ensemble Knowledge Transfer for Semantic Segmentation.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Learning Generative Models of Tissue Organization with Supervised GANs.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Active Testing: An Efficient and Robust Framework for Estimating Accuracy.
Proceedings of the 35th International Conference on Machine Learning, 2018

PixelNN: Example-based Image Synthesis.
Proceedings of the 6th International Conference on Learning Representations, 2018

Few-Shot Human Motion Prediction via Meta-learning.
Proceedings of the Computer Vision - ECCV 2018, 2018

Recycle-GAN: Unsupervised Video Retargeting.
Proceedings of the Computer Vision - ECCV 2018, 2018

Brute-Force Facial Landmark Analysis With a 140, 000-Way Classifier.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Unconstrained Face Detection and Open-Set Face Recognition Challenge.
CoRR, 2017

Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset.
CoRR, 2017

Recognition in-the-Tail: Training Detectors for Unusual Pedestrians with Synthetic Imposters.
CoRR, 2017

PixelNet: Representation of the pixels, by the pixels, and for the pixels.
CoRR, 2017

Learning to Model the Tail.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Attentional Pooling for Action Recognition.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Policies for Adaptive Tracking with Deep Feature Cascades.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Need for Speed: A Benchmark for Higher Frame Rate Object Tracking.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Unconstrained Face Detection and Open-Set Face Recognition Challenge.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

Growing a Brain: Fine-Tuning by Increasing Model Capacity.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Finding Tiny Faces.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Predictive-Corrective Networks for Action Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

3D Human Pose Estimation = 2D Pose Estimation + Matching.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Fine-Grained Forensic Matching.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Query-Driven Approach to Face Clustering and Tagging.
IEEE Trans. Image Process., 2016

Do We Need More Training Data?
Int. J. Comput. Vis., 2016

Guest Editorial: Video Recognition.
Int. J. Comput. Vis., 2016

The Open World of Micro-Videos.
CoRR, 2016

Tinkering Under the Hood: Interactive Zero-Shot Learning with Net Surgery.
CoRR, 2016

PixelNet: Towards a General Pixel-level Architecture.
CoRR, 2016

Categorizing cubes: Revisiting pose normalization.
Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Bottom-Up and Top-Down Reasoning with Hierarchical Rectified Gaussians.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Bottom-up and top-down reasoning with convolutional latent-variable models.
CoRR, 2015

Multi-scale Recognition with DAG-CNNs.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Depth-Based Hand Pose Estimation: Data, Methods, and Challenges.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Understanding Everyday Hands in Action from RGB-D Images.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

First-person pose recognition using egocentric workspaces.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Articulated pose estimation with tiny synthetic videos.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014
Scheduling sensors for monitoring sentient spaces using an approximate POMDP policy.
Pervasive Mob. Comput., 2014

Egocentric Pose Recognition in Four Lines of Code.
CoRR, 2014

Microsoft COCO: Common Objects in Context.
CoRR, 2014

AutoCaption: Automatic caption generation for personal photos.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

3D Hand Pose Detection in Egocentric RGB-D Images.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Microsoft COCO: Common Objects in Context.
Proceedings of the Computer Vision - ECCV 2014, 2014

Capturing Long-Tail Distributions of Object Subcategories.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Parsing Videos of Actions with Segmental Grammars.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Analysis by Synthesis: 3D Object Recognition by Object Reconstruction.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Parsing Occluded People.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Articulated Human Detection with Flexible Mixtures of Parts.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Efficiently Scaling up Crowdsourced Video Annotation - A Set of Best Practices for High Quality, Economical Video Labeling.
Int. J. Comput. Vis., 2013

Egovision4Health - Assessing Activities of Daily Living from a Wearable RGB-D Camera for In-Home Health Care Applications.
ERCIM News, 2013

Dual coordinate solvers for large-scale structural SVMs.
CoRR, 2013

Visual object detection with deformable part models.
Commun. ACM, 2013

Self-Paced Learning for Long-Term Tracking.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Histograms of Sparse Codes for Object Detection.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Exploring Weak Stabilization for Motion Feature Extraction.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Predicting Functional Regions on Objects.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Layered Object Models for Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Analyzing 3D Objects in Cluttered Images.
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

Discriminative Decorrelation for Clustering and Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012

Detecting Actions, Poses, and Objects with Relational Phraselets.
Proceedings of the Computer Vision - ECCV 2012, 2012

Face detection, pose estimation, and landmark localization in the wild.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Recognizing proxemics in personal photos.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Steerable part models.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Detecting activities of daily living in first-person camera views.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Do We Need More Training Data or Better Models for Object Detection?.
Proceedings of the British Machine Vision Conference, 2012

2011
Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Discriminative Models for Multi-Class Object Layout.
Int. J. Comput. Vis., 2011

Video Annotation and Tracking with Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Statistical Tests for Optimization Efficiency.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

N-best maximal decoders for part models.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Articulated pose estimation with flexible mixtures-of-parts.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Globally-optimal greedy algorithms for tracking a variable number of objects.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011


Where's Waldo: Matching people in images of crowds.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video.
Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

Part-Based Models for Finding People and Estimating Their Pose.
Proceedings of the Visual Analysis of Humans - Looking at People., 2011

2010
Object Detection with Discriminatively Trained Part-Based Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

SEMARTCam scheduler: <i>sema</i>ntics driven <i>r</i>eal-<i>t</i>ime data collection from indoor <i>cam</i>era networks to maximize event detection.
J. Real Time Image Process., 2010

Discriminative Latent Variable Models for Object Detection.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces.
Proceedings of the Computer Vision, 2010

Multiresolution Models for Object Detection.
Proceedings of the Computer Vision, 2010

Layered object detection for multi-class segmentation.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Discriminative models for static human-object interactions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Bilinear classifiers for visual recognition.
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

2008
Increasing the density of Active Appearance Models.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

A discriminatively trained, multiscale, deformable part model.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Tracking People by Learning Their Appearance.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Assessment of Post-Stroke Functioning Using Machine Vision.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2007), 2007

Leveragingarchivalvideo for building face datasets.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Using Segmentation to Verify Object Hypotheses.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Building Models of Animals from Video.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Learning to parse images of articulated bodies.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Training Deformable Models for Localization.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis.
Found. Trends Comput. Graph. Vis., 2005

Tracking People and Recognizing Their Activities.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Strike a Pose: Tracking People by Finding Stylized Poses.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Detecting, Localizing and Recovering Kinematics of Textured Animals.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2003
Automatic Annotation of Everyday Movements.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Using Temporal Coherence to Build Models of Animals.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Finding and Tracking People from the Bottom Up.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2000
Nonlinear Image Interpolation Through Extended Permutation Filters.
Proceedings of the 2000 International Conference on Image Processing, 2000


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