Hariharan, Bharath
12 papers on CoChatORCID 0000-0002-2309-4703
Most cited papers
- Verified
Feature Pyramid Networks for Object Detection
Lin, T.-Y., Dollar, P., Girshick, R., He, K., Hariharan, B., & Belongie, S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 30,939
- Verified
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Johnson, J., Hariharan, B., van der Maaten, L., Fei-Fei, L., Zitnick, C. L., & Girshick, R. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge
Cited by 1,781
- Verified
Hypercolumns for object segmentation and fine-grained localization
Hariharan, B., Arbelaez, P., Girshick, R., & Malik, J. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 1,511
- Verified
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Wang, Y., Chao, W.-L., Garg, D., Hariharan, B., Campbell, M., & Weinberger, K. Q. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsAdvanced Vision and Imaging
Cited by 1,154
- Verified
PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows
Yang, G., Huang, X., Hao, Z., Liu, M.-Y., Belongie, S., & Hariharan, B. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis
Cited by 656
- Verified
Learning Gradient Fields for Shape Generation
Cai, R., Yang, G., Averbuch-Elor, H., Hao, Z., Belongie, S., Snavely, N., & Hariharan, B. (2020) · Lecture Notes in Computer Science
3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques
Cited by 225
- Verified
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
Hyun Cho, J., Mall, U., Bala, K., & Hariharan, B. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 159
- Verified
Iterative Instance Segmentation
Li, K., Hariharan, B., & Malik, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsMedical Image Segmentation Techniques
Cited by 152
- Verified
Emergent Correspondence from Image Diffusion
Tang, L., Jia, M., Wang, Q., Phoo, C. P., & Hariharan, B. (2023) · arXiv
Image Retrieval and Classification TechniquesImage and Signal Denoising Methods
Cited by 118
- Verified
Object Instance Segmentation and Fine-Grained Localization Using Hypercolumns
Hariharan, B., Arbelaez, P., Girshick, R., & Malik, J. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 102
- Verified
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Johnson, J., Hariharan, B., van der Maaten, L., Fei-Fei, L., Zitnick, C. L., & Girshick, R. (2016) · arXiv
Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection
Cited by 40
- Verified
Extending and Analyzing Self-supervised Learning Across Domains
Wallace, B., & Hariharan, B. (2020) · Lecture Notes in Computer Science
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 35
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free