Guha Balakrishnan
22 papers · 2012–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (13) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (15)
🏃
Academic Marathon
(13)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(15)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(119)
💎
Century Club
(22)
🔥
Unstoppable
(8)
📈
Trend Setter
🚀
Conference Pioneer
Conferences
CVPR (10)
ICCV (4)
ECCV (3)
AISTATS (1)
MICCAI (1)
NIPS (1)
NSDI (1)
WACV (1)
Top co-authors
Research topics
Keywords
convolutional neural network
(4)
implicit neural representation
(3)
algorithmic bia
(2)
video generation
(2)
image generation
(2)
probabilistic model
(2)
algorithmic fairness
(1)
feature learning
(1)
active learning
(1)
principal component analysis
(1)
computer vision
(1)
motion deblurring
(1)
face analysis
(1)
transfer learning
(1)
semi-supervised learning
(1)
medical imaging
(1)
video synthesis
(1)
variational inference
(1)
knowledge distillation
(1)
motion estimation
(1)
Papers
Bias for Action: Video Implicit Neural Representations with Bias Modulation
CVPR 2025
Fit Pixels, Get Labels: Meta-Learned Implicit Networks for Image Segmentation
MICCAI 2025
Not all Views are Created Equal: Analyzing Viewpoint Instabilities in Vision Foundation Models
ICCV 2025
Linking Convolutional Kernel Size to Generalization Bias in Face Analysis CNNs
WACV 2024
ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation
CVPR 2024
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations
NSDI 2024
Learning Transferable Features for Implicit Neural Representations
NIPS 2024
Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation
ICCV 2023
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries
CVPR 2023
WIRE: Wavelet Implicit Neural Representations
CVPR 2023
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers
CVPR 2022
Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features
ECCV 2022
MINER: Multiscale Implicit Neural Representation
ECCV 2022
Better Aggregation in Test-Time Augmentation
ICCV 2021
Towards causal benchmarking of bias in face analysis algorithms
ECCV 2020
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
CVPR 2020
Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation
CVPR 2019
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
ICCV 2019
An Unsupervised Learning Model for Deformable Medical Image Registration
CVPR 2018
Synthesizing Images of Humans in Unseen Poses
CVPR 2018
Detecting Pulse from Head Motions in Video
CVPR 2013
Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection
AISTATS 2012