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Bharath Hariharan

Bharath Hariharan has 3 papers in our library, in 2016–2017, most of them on Reasoning; often with Ross Girshick, C. Lawrence Zitnick, Justin M. Johnson.

3 papers in our library · 2016–2017

OpenAlex · ORCID · Wikidata · h-index 47 · 136 works · 45,728 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 1,200 times in our library · 15 more in our library without a page yet · ⭐ Paper Stars ranking: #1761

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Cornell UniversityIthaca · United States2018–2026 · 85 papersEmploymentcurrent🎓University of California, BerkeleyBerkeley · United States2011–2016 · 15 papersEducation🏢MetaMenlo Park · United States2016–2017 · 12 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 3The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksComputer Vision and Pattern Recognition · 3 worksArtificial Intelligence · 2 works

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 2 works

 Works by year

2010s

20171 paper20162 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Feature Pyramid Networks for Object Detection (2016 · 767 citations)
    Detecting objects whose size varies widely is a core difficulty in computer vision. The classic remedy is to run a feature extractor on every level of an image pyramid. This gives semantically strong features at all resolutions, but it multiplies inference time and needs too much memory for end-to-end training, so…
  2. Inferring and Executing Programs for Visual Reasoning (2017 · 557 citations)
    Visual question answering systems usually learn a direct mapping from image and question to answer. Such black-box models tend to exploit dataset biases instead of actually reasoning. The authors argue that compositional reasoning should be built into the model's structure, and they split the task into two learned…
  3. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning (2016 · 464 citations)
    Visual question answering (VQA) benchmarks are meant to measure whether systems can reason about images. In practice, models can score well on them by exploiting statistical regularities in the questions, and a single wrong answer can come from several different failures. CLEVR is a synthetic diagnostic benchmark…

All works

18 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Hypercolumns for object segmentation and fine-grained localization ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetBharath Hariharan et al.2015 · 1,539 citations
  2. Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYan Wang et al.2019 · 1,165 citations
  3. Simultaneous Detection and Segmentation ↗Lecture notes in computer science · no summary yetBharath Hariharan et al.2014 · 1,128 citations
  4. Low-Shot Visual Recognition by Shrinking and Hallucinating Features ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetBharath Hariharan, Ross Girshick2017 · 820 citations
  5. Low-Shot Learning from Imaginary Data ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYu-Xiong Wang et al.2018 · 771 citations
  6. Feature Pyramid Networks for Object DetectionarXiv:1612.03144Tsung-Yi Lin, Piotr Dollar, Ross Girshick, et al.2016 · 767 citations
  7. On the Efficacy of Knowledge Distillation ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetJang Hyun Cho, Bharath Hariharan2019 · 699 citations
  8. PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetGuandao Yang et al.2019 · 644 citations
  9. Inferring and Executing Programs for Visual ReasoningIEEE International Conference on Computer Vision (ICCV)Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.2017 · 557 citations
  10. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual ReasoningarXiv:1612.06890Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.2016 · 464 citations
  11. Learning Features by Watching Objects Move ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDeepak Pathak et al.2017 · 457 citations
  12. Using k-Poselets for Detecting People and Localizing Their Keypoints ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetGeorgia Gkioxari et al.2014 · 177 citations
  13. A Data Driven Approach for Algebraic Loop Invariants ↗Lecture notes in computer science · no summary yetRahul R. Sharma et al.2013 · 138 citations
  14. R-CNNs for Pose Estimation and Action Detection ↗CaltechAUTHORS (California Institute of Technology) · no summary yetGeorgia Gkioxari et al.2014 · 120 citations
  15. Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetBharath Hariharan et al.2016 · 102 citations
  16. Change-Aware Sampling and Contrastive Learning for Satellite Images ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetUtkarsh Mall, Bharath Hariharan, Kavita Bala2023 · 98 citations
  17. The three R’s of computer vision: Recognition, reconstruction and reorganization ↗Pattern Recognition Letters · no summary yetJitendra Malik et al.2016 · 43 citations
  18. WildDet3D: Scaling Promptable 3D Detection in the Wild ↗arXiv (Cornell University) · no summary yetWeikai Huang et al.2026 · 1 citation

 Co-authors here

10 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 1,200 times (of the 149,439 papers whose bibliographies we read); 106 citing papers with a page here →.

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