Bharath Hariharan
72 papers · 2014–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12)
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Academic Marathon
(12)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌟
Keyword Trendsetter Combo
(3)
🏠
Conference Loyalist
(27)
🤝
Dynamic Duo
(15)
🔬
Deep Specialist
(12)
🏆
Keyword Champion
(2)
🚀
Conference Pioneer
⚡
Prolific Year
(7)
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Keyword Collector
(233)
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(2)
💎
Century Club
(72)
📈
Trend Setter
🔥
Unstoppable
(13)
Conferences
CVPR (27)
ICCV (14)
NIPS (11)
ECCV (9)
ICLR (8)
WACV (2)
JMLR (1)
Top co-authors
Keywords
object detection
(8)
3d object detection
(8)
convolutional neural network
(7)
feature extraction
(7)
autonomous driving
(6)
representation learning
(5)
depth estimation
(5)
few-shot learning
(5)
semantic segmentation
(4)
unsupervised learning
(4)
self-supervised learning
(3)
semi-supervised learning
(3)
satellite imagery
(3)
domain generalization
(3)
remote sensing
(3)
zero-shot learning
(3)
transfer learning
(3)
3d reconstruction
(2)
image classification
(2)
model compression
(2)
Papers
Color Bind: Exploring Color Perception in Text-to-Image Models
WACV 2026
3D Synthesis for Architectural Design
WACV 2025
Scale-aware Recognition in Satellite Images under Resource Constraints
ICLR 2025
Learning 3D Perception from Others' Predictions
ICLR 2025
Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration
ICCV 2025
Accurate Differential Operators for Hybrid Neural Fields
CVPR 2025
DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery
CVPR 2025
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene
CVPR 2025
FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution
ICCV 2025
Generating 3D-Consistent Videos from Unposed Internet Photos
CVPR 2025
MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos
ECCV 2024
MegaScenes: Scene-Level View Synthesis at Scale
ECCV 2024
AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery
NIPS 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning
NIPS 2024
DiffuBox: Refining 3D Object Detection with Point Diffusion
NIPS 2024
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment
ICLR 2024
Pre-training LiDAR-based 3D Object Detectors through Colorization
ICLR 2024
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes
NIPS 2023
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery
NIPS 2023
Emergent Correspondence from Image Diffusion
NIPS 2023
Change-Aware Sampling and Contrastive Learning for Satellite Images
CVPR 2023
Tracking Everything Everywhere All at Once
ICCV 2023
Distilling from Similar Tasks for Transfer Learning on a Budget
ICCV 2023
Doppelgangers: Learning to Disambiguate Images of Similar Structures
ICCV 2023
Learning To Detect Mobile Objects From LiDAR Scans Without Labels
CVPR 2022
Visual Prompt Tuning
ECCV 2022
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
ICLR 2022
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
ICLR 2022
Polynomial Neural Fields for Subband Decomposition and Manipulation
NIPS 2022
Change Event Dataset for Discovery from Spatio-temporal Remote Sensing Imagery
NIPS 2022
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
NIPS 2022
Ithaca365: Dataset and Driving Perception Under Repeated and Challenging Weather Conditions
CVPR 2022
Self-training For Few-shot Transfer Across Extreme Task Differences
ICLR 2021
Geometry Processing with Neural Fields
NIPS 2021
Stay Positive: Non-Negative Image Synthesis for Augmented Reality
CVPR 2021
Few-Shot Classification With Feature Map Reconstruction Networks
CVPR 2021
Can We Characterize Tasks Without Labels or Features?
CVPR 2021
Extreme Rotation Estimation Using Dense Correlation Volumes
CVPR 2021
PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering
CVPR 2021
Field-Guide-Inspired Zero-Shot Learning
ICCV 2021
Coarsely-Labeled Data for Better Few-Shot Transfer
ICCV 2021
Learning Feature Descriptors using Camera Pose Supervision
ECCV 2020
When Does Self-supervision Improve Few-shot Learning?
ECCV 2020
Extending and Analyzing Self-Supervised Learning Across Domains
ECCV 2020
Train in Germany, Test in the USA: Making 3D Object Detectors Generalize
CVPR 2020
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
CVPR 2020
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
CVPR 2020
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
ICLR 2020
Wasserstein Distances for Stereo Disparity Estimation
NIPS 2020
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
ECCV 2020
Learning Gradient Fields for Shape Generation
ECCV 2020
Few-Shot Generalization for Single-Image 3D Reconstruction via Priors
ICCV 2019
PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows
ICCV 2019
On the Efficacy of Knowledge Distillation
ICCV 2019
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
CVPR 2019
Few-Shot Learning With Localization in Realistic Settings
CVPR 2019
GeoStyle: Discovering Fashion Trends and Events
ICCV 2019
Learning Single-View 3D Reconstruction with Limited Pose Supervision
ECCV 2018
Low-Shot Learning With Large-Scale Diffusion
CVPR 2018
Resource Aware Person Re-Identification Across Multiple Resolutions
CVPR 2018
Low-Shot Learning From Imaginary Data
CVPR 2018
Inferring and Executing Programs for Visual Reasoning
ICCV 2017
Low-Shot Visual Recognition by Shrinking and Hallucinating Features
ICCV 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
CVPR 2017
Learning Features by Watching Objects Move
CVPR 2017
Feature Pyramid Networks for Object Detection
CVPR 2017
Iterative Instance Segmentation
CVPR 2016
Multi-Task Learning for Straggler Avoiding Predictive Job Scheduling
JMLR 2016
DeepBox: Learning Objectness With Convolutional Networks
ICCV 2015
Hypercolumns for Object Segmentation and Fine-Grained Localization
CVPR 2015
Detecting Objects using Deformation Dictionaries
CVPR 2014
Using k-Poselets for Detecting People and Localizing Their Keypoints
CVPR 2014