Publications

  • Learning Gradient Fields for Shape Generation
    Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, Bharath Hariharan
    In ECCV, 2020 (Spotlight)
    pdf    project page    bibtex
  • When Does Self-supervision Improve Few-shot Learning?
    Jong-Chyi Su, Subhransu Maji, Bharath Hariharan
    In ECCV, 2020
    pdf    project page    bibtex
  • Extending and Analyzing Self-Supervised Learning Across Domains
    Bram Wallace, Bharath Hariharan
    In ECCV, 2020
    pdf    bibtex
  • Learning Feature Descriptors using Camera Pose Supervision
    Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely
    In ECCV, 2020 (Oral)
    pdf    supp    project page    bibtex
  • Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
    Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Bharath Hariharan, Claire Cardie, Hartwig Adam, Serge Belongie
    In ECCV, 2020 (Oral)
    pdf    project page    bibtex
  • Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
    Luming Tang, Davis Wertheimer, Bharath Hariharan
    In CVPR, 2020
    pdf    supp    code    bibtex
  • Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
    Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
    In CVPR, 2020
    pdf    supp    bibtex
  • End-to-end Pseudo-LiDAR for Image-Based 3D Object Detection
    Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, and Wei-Lun Chao
    In CVPR, 2020
    pdf    supp    bibtex
  • Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving
    Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, and Kilian Weinberger
    In ICLR, 2020
    pdf    code    bibtex
  • PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
    Guandao Yang*, Xun Huang*, Zekun Hao, Ming-Yu Liu, Serge Belongie, Bharath Hariharan
    In ICCV, 2019 (Oral)
    pdf    project page    bibtex
  • Few-Shot Generalization for Single-Image 3D Reconstruction via Prior
    Bram Wallace, Bharath Hariharan
    In ICCV, 2019
    pdf    bibtex
  • On the impact of neural network architecture on the efficacy of knowledge distillation
    Jang Hyun Cho, Bharath Hariharan
    In ICCV, 2019
    pdf    bibtex
  • GeoStyle: Discovering Fashion Trends and Events
    Utkarsh Mall, Kevin Matzen, Bharath Hariharan, Noah Snavely, Kavita Bala
    In ICCV, 2019
    pdf    project page    bibtex
  • Few-shot Learning with Localization in Realistic Settings
    Davis Wertheimer, Bharath Hariharan
    In CVPR, 2019 (Oral)
    pdf    supp    code    bibtex
  • Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
    Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
    In CVPR, 2019
    pdf    supp    project page    bibtex
  • Design Mining for Minecraft Architecture
    Euisun Yoon, Erik Andersen, Bharath Hariharan, Ross Knepper
    In Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2018
    pdf    bibtex
  • Learning Single-View 3D Reconstruction with Limited Pose Supervision
    Guandao Yang, Yin Cui, Serge Belongie, Bharath Hariharan
    In ECCV, 2018
    pdf    bibtex
  • Low-shot Learning from Imaginary Data
    Yu-Xiong Wang, Ross Girshick, Martial Herbert, Bharath Hariharan
    In CVPR, 2018 (Spotlight)
    pdf    bibtex
  • Low-shot learning with large-scale diffusion
    Matthijs Douze, Arthur Szlam, Bharath Hariharan, Hervé Jégou
    In CVPR, 2018
    pdf    bibtex
  • Resource Aware Person Re-identification across Multiple Resolutions
    Yan Wang*, Lequn Wang*, Yurong You*, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, Kilian Q. Weinberger
    In CVPR, 2018
    pdf    bibtex
  • Low-shot Visual Recognition by Shrinking and Hallucinating Features
    Bharath Hariharan, Ross Girshick
    In ICCV, 2017 (Spotlight)
    pdf    supp    code    bibtex
  • Inferring and Executing Programs for Visual Reasoning
    Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick
    In ICCV, 2017 (Oral)
    pdf    project page    bibtex
  • Learning Features by Watching Objects Move
    Deepak Pathak, Ross Girshick, Piotr Dollár, Trevor Darrell, Bharath Hariharan
    In CVPR, 2017
    pdf    project page    bibtex
  • CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
    Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick
    In CVPR, 2017
    pdf    project page    bibtex
  • Feature Pyramid Networks for Object Detection
    Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie
    In CVPR, 2017
    pdf    bibtex
  • Iterative Instance Segmentation
    Ke Li, Bharath Hariharan, Jitendra Malik
    In CVPR, 2016
    pdf    bibtex
  • Beyond Bounding Boxes: Precise Localization of Objects in Images
    Bharath Hariharan
    (Thesis)
    pdf    code    bibtex
  • Object Instance Segmentation and Fine-grained Localization using Hypercolumns
    Bharath Hariharan, Pablo Arbeláez, Ross Girshick, Jitendra Malik
    In TPAMI, 2015
    pdf    code    bibtex
  • DeepBox: Learning Objectness with Convolutional Networks
    Weicheng Kuo, Bharath Hariharan, Jitendra Malik
    In ICCV, 2015
    pdf    bibtex
  • Hypercolumns for Object Segmentation and Fine-grained Localization
    Bharath Hariharan, Pablo Arbeláez, Ross Girshick, Jitendra Malik
    In CVPR, 2015 (Oral)
    pdf    code    bibtex
  • Simultaneous Detection and Segmentation
    Bharath Hariharan, Pablo Arbeláez, Ross Girshick, Jitendra Malik
    In ECCV, 2014
    pdf    code    bibtex
  • Detecting objects using Deformation Dictionaries
    Bharath Hariharan, Larry Zitnick, Piotr Dollár
    In CVPR, 2014
    pdf    code    bibtex
  • Using k-poselets for detecting people and localizing their keypoints
    Georgia Gkioxari*, Bharath Hariharan*, Ross Girshick, Jitendra Malik
    In CVPR, 2014
    pdf    code    bibtex
  • Discriminative decorrelation for clustering and classification
    Bharath Hariharan, Jitendra Malik, Deva Ramanan
    In ECCV, 2012
    pdf    bibtex
  • Semantic segmentation using regions and parts
    Pablo Arbeláez, Bharath Hariharan, Chunhui Gu, Saurabh Gupta, Lubomir Bourdev, Jitendra Malik
    In CVPR, 2012
    pdf    bibtex
  • Efficient max-margin multi-label classification with applications to zero-shot learning
    Bharath Hariharan, S. V. N. Vishwanathan, Manik Varma
    In Machine Learning, 2012
    pdf    bibtex
  • Semantic contours from inverse detectors
    Bharath Hariharan, Pablo Arbeláez, Lubomir Bourdev, Subhransu Maji, Jitendra Malik
    In ICCV, 2011
    pdf    project page    bibtex
  • Large scale max-margin multi-label classification with priors
    Bharath Hariharan, Lihi Zelnik-Manor, S. V. N. Vishwanathan, Manik Varma
    In ICML, 2010 (Oral)
    pdf    project page    bibtex
  • Selecting the Best VM across Multiple Public Clouds: A Data-Driven Performance Modeling Approach
    Neeraja J. Yadwadkar, Bharath Hariharan, Joseph E Gonzalez, Burton Smith, Randy Katz
    In SoCC, 2017
    pdf    bibtex
  • Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling
    Neeraja J. Yadwadkar, Bharath Hariharan, Joseph Gonzales, Randy Katz
    In JMLR, 2016
    pdf    bibtex
  • Faster Jobs in Distributed Data Processing using Multi-Task Learning
    Neeraja J. Yadwadkar, Bharath Hariharan, Joseph Gonzalez, Randy Katz
    In SDM, 2015 (Oral)
    pdf    bibtex
  • Verification as learning geometric concepts
    Rahul Sharma, Saurabh Gupta, Bharath Hariharan, Alex Aiken, Aditya Nori
    In Static Analysis Symposium (SAS), 2013
    pdf    bibtex
  • A Data Driven Approach for Algebraic Loop Invariants
    Rahul Sharma, Saurabh Gupta, Bharath Hariharan, Alex Aiken, Percy Liang, Aditya Nori
    In European Symposium on Programming (ESOP), 2013
    pdf    bibtex
  • Machine Learning (ML) for Tracking Fashion Trends: Documenting the Frequency of the Baseball Cap on Social Media and the Runway
    Rachel Rose Getman, Denise Nicole Green, Kavita Bala, Utkarsh Mall, Nehal Rawat, Sonia Appasamy and Bharath Hariharan
    In Clothing and Textiles Research Journal, 2020
    pdf    bibtex
  • A semi-automated machine learning-aided approach to quantitative analysis of centrosomes and microtubule organization
    Divya Ganapathi Sankaran, Alexander J Stemm-Wolf, Bailey L McCurdy, Bharath Hariharan, Chad G Pearson
    In Journal of Cell Science, 2020
    pdf    project page    bibtex