Bharath Hariharan

CoRR, 2024

ObjectCarver: Semi-automatic segmentation, reconstruction and separation of 3D objects.

[BibT_eX]

[DOI]

CoRR, 2024

MegaScenes: Scene-Level View Synthesis at Scale.

[BibT_eX]

[DOI]

CoRR, 2024

DiffuBox: Refining 3D Object Detection with Point Diffusion.

[BibT_eX]

[DOI]

CoRR, 2024

Learning to Detect and Segment Mobile Objects from Unlabeled Videos.

[BibT_eX]

[DOI]

Yihong Sun

CoRR, 2024

Neural Control Variates with Automatic Integration.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Better Monocular 3D Detectors with LiDAR from the Past.

[BibT_eX]

[DOI]

Yurong You

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Pre-training LiDAR-based 3D Object Detectors through Colorization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos.

[BibT_eX]

[DOI]

Yihong Sun

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Accurate Differential Operators for Hybrid Neural Fields.

[BibT_eX]

[DOI]

CoRR, 2023

Neural Caches for Monte Carlo Partial Differential Equation Solvers.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Emergent Correspondence from Image Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes.

[BibT_eX]

[DOI]

Yihong Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Tracking Everything Everywhere All at Once.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Doppelgangers: Learning to Disambiguate Images of Similar Structures.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Distilling from Similar Tasks for Transfer Learning on a Budget.

[BibT_eX]

[DOI]

Kenneth Borup

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Change-Aware Sampling and Contrastive Learning for Satellite Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners.

[BibT_eX]

[DOI]

CoRR, 2022

Activation Regression for Continuous Domain Generalization with Applications to Crop Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Orientation-Discriminative Feature Representation for Decentralized Pedestrian Tracking.

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Adaptation from Repeated Traversals for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Polynomial Neural Fields for Subband Decomposition and Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Change Event Dataset for Discovery from Spatio-temporal Remote Sensing Imagery.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars.

[BibT_eX]

[DOI]

Yurong You

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Unsupervised Semantic Segmentation by Distilling Feature Correspondences.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Visual Prompt Tuning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Detect Mobile Objects from LiDAR Scans Without Labels.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Zero-shot Learning Using Multimodal Descriptions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection.

[BibT_eX]

[DOI]

Yurong You

CoRR, 2021

Geometry Processing with Neural Fields.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-training For Few-shot Transfer Across Extreme Task Differences.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Coarsely-labeled Data for Better Few-shot Transfer.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Field-Guide-Inspired Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Few-Shot Classification With Feature Map Reconstruction Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Can We Characterize Tasks Without Labels or Features?

[BibT_eX]

[DOI]

Bram Wallace

Ziyang Wu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Stay Positive: Non-Negative Image Synthesis for Augmented Reality.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Extreme Rotation Estimation Using Dense Correlation Volumes.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation.

[BibT_eX]

[DOI]

Omid Poursaeed

CoRR, 2020

Wasserstein Distances for Stereo Disparity Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning Feature Descriptors Using Camera Pose Supervision.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Extending and Analyzing Self-supervised Learning Across Domains.

[BibT_eX]

[DOI]

Bram Wallace

Proceedings of the Computer Vision - ECCV 2020, 2020

When Does Self-supervision Improve Few-Shot Learning?

[BibT_eX]

[DOI]

Jong-Chyi Su

Subhransu Maji

Proceedings of the Computer Vision - ECCV 2020, 2020

Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Gradient Fields for Shape Generation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Train in Germany, Test in the USA: Making 3D Object Detectors Generalize.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Cloud-Hosted Intelligence for Real-time IoT Applications.

[BibT_eX]

[DOI]

Ken Birman

Christopher De Sa

ACM SIGOPS Oper. Syst. Rev., 2019

LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

Boosting Supervision with Self-Supervision for Few-shot Learning.

[BibT_eX]

[DOI]

Jong-Chyi Su

Subhransu Maji

CoRR, 2019

PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors.

[BibT_eX]

[DOI]

Bram Wallace

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

GeoStyle: Discovering Fashion Trends and Events.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

On the Efficacy of Knowledge Distillation.

[BibT_eX]

[DOI]

Jang Hyun Cho

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Single-View 3D Reconstruction with Limited Pose Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Few-Shot Learning With Localization in Realistic Settings.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

A Deep-Learning-Based Fashion Attributes Detection Model.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Fundamental Matrix Estimation Without Correspondences.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Resource Aware Person Re-Identification Across Multiple Resolutions.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Low-Shot Learning From Imaginary Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Low-Shot Learning With Large-Scale Diffusion.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Design Mining for <i>Minecraft</i> Architecture.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2018

2017

Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Inferring and Executing Programs for Visual Reasoning.

[BibT_eX]

[DOI]

Justin Johnson

Laurens van der Maaten

Proceedings of the IEEE International Conference on Computer Vision, 2017

Low-Shot Visual Recognition by Shrinking and Hallucinating Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Features by Watching Objects Move.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Feature Pyramid Networks for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning.

[BibT_eX]

[DOI]

Justin Johnson

Laurens van der Maaten

Li Fei-Fei

C. Lawrence Zitnick

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Selecting the <i>best</i> VM across multiple public clouds: a data-driven performance modeling approach.

[BibT_eX]

[DOI]

Neeraja Jayant Yadwadkar

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016

The three R's of computer vision: Recognition, reconstruction and reorganization.

[BibT_eX]

[DOI]

Pablo Andrés Arbeláez

Pattern Recognit. Lett., 2016

Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling.

[BibT_eX]

[DOI]

Neeraja Jayant Yadwadkar

Joseph E. Gonzalez

Randy Howard Katz

J. Mach. Learn. Res., 2016

Low-shot visual object recognition.

[BibT_eX]

[DOI]

CoRR, 2016

Iterative Instance Segmentation.

[BibT_eX]

[DOI]

Ke Li

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Beyond Bounding Boxes: Precise Localization of Objects in Images.

[BibT_eX]

[DOI]

PhD thesis, 2015

Exploring Person Context and Local Scene Context for Object Detection.

[BibT_eX]

[DOI]

Saurabh Gupta

CoRR, 2015

Faster Jobs in Distributed Data Processing using Multi-Task Learning.

[BibT_eX]

[DOI]

Neeraja Jayant Yadwadkar

Joseph Gonzalez

Randy H. Katz

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

DeepBox: Learning Objectness with Convolutional Networks.

[BibT_eX]

[DOI]

Weicheng Kuo

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Hypercolumns for object segmentation and fine-grained localization.

[BibT_eX]

[DOI]

Pablo Andrés Arbeláez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

R-CNNs for Pose Estimation and Action Detection.

[BibT_eX]

[DOI]

CoRR, 2014

Simultaneous Detection and Segmentation.

[BibT_eX]

[DOI]

Pablo Andrés Arbeláez

Proceedings of the Computer Vision - ECCV 2014, 2014

Detecting Objects Using Deformation Dictionaries.

[BibT_eX]

[DOI]

C. Lawrence Zitnick

Piotr Dollár

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Using k-Poselets for Detecting People and Localizing Their Keypoints.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Verification as Learning Geometric Concepts.

[BibT_eX]

[DOI]

Proceedings of the Static Analysis - 20th International Symposium, 2013

A Data Driven Approach for Algebraic Loop Invariants.

[BibT_eX]

[DOI]

Proceedings of the Programming Languages and Systems, 2013

2012

Efficient max-margin multi-label classification with applications to zero-shot learning.

[BibT_eX]

[DOI]

S. V. N. Vishwanathan

Manik Varma

Mach. Learn., 2012

Discriminative Decorrelation for Clustering and Classification.

[BibT_eX]

[DOI]

Deva Ramanan

Proceedings of the Computer Vision - ECCV 2012, 2012

Semantic segmentation using regions and parts.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Semantic contours from inverse detectors.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Large Scale Max-Margin Multi-Label Classification with Priors.

[BibT_eX]

[DOI]