Bharath Hariharan

According to our database1, Bharath Hariharan authored at least 92 papers between 2010 and 2023.

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Bibliography

2023
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment.
CoRR, 2023

Accurate Differential Operators for Hybrid Neural Fields.
CoRR, 2023

Pre-Training LiDAR-Based 3D Object Detectors Through Colorization.
CoRR, 2023

RealFill: Reference-Driven Generation for Authentic Image Completion.
CoRR, 2023

Neural Caches for Monte Carlo Partial Differential Equation Solvers.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Emergent Correspondence from Image Diffusion.
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.
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.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Tracking Everything Everywhere All at Once.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Doppelgangers: Learning to Disambiguate Images of Similar Structures.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Distilling from Similar Tasks for Transfer Learning on a Budget.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Change-Aware Sampling and Contrastive Learning for Satellite Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Diagnosing and Remedying Shot Sensitivity with Cosine Few-Shot Learners.
CoRR, 2022

Activation Regression for Continuous Domain Generalization with Applications to Crop Classification.
CoRR, 2022

Orientation-Discriminative Feature Representation for Decentralized Pedestrian Tracking.
CoRR, 2022

Unsupervised Adaptation from Repeated Traversals for Autonomous Driving.
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.
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.
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.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Unsupervised Semantic Segmentation by Distilling Feature Correspondences.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Visual Prompt Tuning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Detect Mobile Objects from LiDAR Scans Without Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Zero-shot Learning Using Multimodal Descriptions.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection.
CoRR, 2021

Geometry Processing with Neural Fields.
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.
Proceedings of the 9th International Conference on Learning Representations, 2021

Coarsely-labeled Data for Better Few-shot Transfer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Field-Guide-Inspired Zero-Shot Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Few-Shot Classification With Feature Map Reconstruction Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Can We Characterize Tasks Without Labels or Features?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Stay Positive: Non-Negative Image Synthesis for Augmented Reality.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Extreme Rotation Estimation Using Dense Correlation Volumes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Fine-Grained Few-Shot Classification with Feature Map Reconstruction Networks.
CoRR, 2020

Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation.
CoRR, 2020

Wasserstein Distances for Stereo Disparity Estimation.
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.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning Feature Descriptors Using Camera Pose Supervision.
Proceedings of the Computer Vision - ECCV 2020, 2020

Extending and Analyzing Self-supervised Learning Across Domains.
Proceedings of the Computer Vision - ECCV 2020, 2020

When Does Self-supervision Improve Few-Shot Learning?
Proceedings of the Computer Vision - ECCV 2020, 2020

Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Gradient Fields for Shape Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Train in Germany, Test in the USA: Making 3D Object Detectors Generalize.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition.
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.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Cloud-Hosted Intelligence for Real-time IoT Applications.
ACM SIGOPS Oper. Syst. Rev., 2019

LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images.
IEEE Robotics Autom. Lett., 2019

Boosting Supervision with Self-Supervision for Few-shot Learning.
CoRR, 2019

PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

GeoStyle: Discovering Fashion Trends and Events.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

On the Efficacy of Knowledge Distillation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Single-View 3D Reconstruction with Limited Pose Supervision.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Few-Shot Learning With Localization in Realistic Settings.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
A Deep-Learning-Based Fashion Attributes Detection Model.
CoRR, 2018

Deep Fundamental Matrix Estimation Without Correspondences.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Resource Aware Person Re-Identification Across Multiple Resolutions.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Low-Shot Learning From Imaginary Data.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Low-Shot Learning With Large-Scale Diffusion.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Design Mining for <i>Minecraft</i> Architecture.
Proceedings of the Fourteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2018

2017
Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Inferring and Executing Programs for Visual Reasoning.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Low-Shot Visual Recognition by Shrinking and Hallucinating Features.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Features by Watching Objects Move.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Feature Pyramid Networks for Object Detection.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning.
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.
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.
Pattern Recognit. Lett., 2016

Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling.
J. Mach. Learn. Res., 2016

Low-shot visual object recognition.
CoRR, 2016

Iterative Instance Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Beyond Bounding Boxes: Precise Localization of Objects in Images.
PhD thesis, 2015

Exploring Person Context and Local Scene Context for Object Detection.
CoRR, 2015

Faster Jobs in Distributed Data Processing using Multi-Task Learning.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

DeepBox: Learning Objectness with Convolutional Networks.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Hypercolumns for object segmentation and fine-grained localization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
R-CNNs for Pose Estimation and Action Detection.
CoRR, 2014

Simultaneous Detection and Segmentation.
Proceedings of the Computer Vision - ECCV 2014, 2014

Detecting Objects Using Deformation Dictionaries.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Using k-Poselets for Detecting People and Localizing Their Keypoints.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Verification as Learning Geometric Concepts.
Proceedings of the Static Analysis - 20th International Symposium, 2013

A Data Driven Approach for Algebraic Loop Invariants.
Proceedings of the Programming Languages and Systems, 2013

2012
Efficient max-margin multi-label classification with applications to zero-shot learning.
Mach. Learn., 2012

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

Semantic segmentation using regions and parts.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Semantic contours from inverse detectors.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Large Scale Max-Margin Multi-Label Classification with Priors.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


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