Bharath Hariharan

Prof Assoc
Computer Science DEPT · BCIS

Bharath Hariharan serves as Associate Professor in Computer Science at Cornell University.

177 publications
44,293 citations
46 h-index
Computer Science
Recent Papers (30)
2026-07-22 · arXiv (Cornell University) · Computer Vision and Pattern Recognition
Efficient Tracking and Understanding Object Transformations
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2026-07-16 · arXiv (Cornell University) · Computer Vision and Pattern Recognition
Composing People Together: Iterative Pose-Image Generation for Multi-Person Interaction Scenes
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2026-03-27 · arXiv (Cornell University) · Computer Vision and Pattern Recognition
Live Interactive Training for Video Segmentation
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
Jennifer J. SunProf Asst, Computer Science DEPT · BCIS
2024-07-12
Neural Control Variates with Automatic Integration
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2023-02-09
Polynomial Neural Fields for Subband Decomposition and Manipulation
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2022-08-01
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
Mark CampbellProfessor, Mechanical & Aerospace Engr DEPT · EN
2022-02-01
Stay Positive: Non-Negative Image Synthesis for Augmented Reality
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2021-10-01
Field-Guide-Inspired Zero-Shot Learning
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2021-06-01
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2021-06-01
Few-Shot Classification with Feature Map Reconstruction Networks
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2021-03-26
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
Mark CampbellProfessor, Mechanical & Aerospace Engr DEPT · EN
2020-11-25
Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2020-10-15
Self-training for Few-shot Transfer Across Extreme Task Differences
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2020-08-14
Learning Gradient Fields for Shape Generation
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2020-04-28
Learning Feature Descriptors using Camera Pose Supervision
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2020-04-26
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
Claire CardieProfessor, Computer Science DEPT · BCIS
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2020-04-07
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
Mark CampbellProfessor, Mechanical & Aerospace Engr DEPT · EN
2020-04-01
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2020-01-01
Extending and Analyzing Self-supervised Learning Across Domains
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2019-10-08
When Does Self-supervision Improve Few-shot Learning?
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2019-10-01
On the Efficacy of Knowledge Distillation
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2019-10-01
Few-Shot Generalization for Single-Image 3D Reconstruction via Priors
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2019-10-01
GeoStyle: Discovering Fashion Trends and Events
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2019-06-17
Boosting Supervision with Self-Supervision for Few-shot Learning
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2019-06-14
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2019-06-12
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
Mark CampbellProfessor, Mechanical & Aerospace Engr DEPT · EN
2019-06-01
Few-Shot Learning With Localization in Realistic Settings
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2019-01-01
Deep Fundamental Matrix Estimation Without Correspondences
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2018-06-01
Low-Shot Learning with Large-Scale Diffusion
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS
2018-01-16
Low-Shot Learning from Imaginary Data
Bharath HariharanProf Assoc, Computer Science DEPT · BCIS