Anirban Chakraborty
21 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (38) 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird
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Conference Pioneer
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Unstoppable · Bronze
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(16)
Learning Types · Machine Learning
(11)
Artificial Intelligence
(10)
Application Areas
(9)
Deep Learning
(7)
Core AI · Artificial Intelligence
(7)
Computer Vision
(6)
Analysis
(6)
Architectures
(4)
Learning Paradigms
(4)
Learning Types · Deep Learning
(3)
Optimization & Theory
(2)
Natural Language Processing
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Keywords
knowledge distillation
(5)
3d human pose estimation
(4)
domain adaptation
(4)
model compression
(4)
self-supervised learning
(3)
unsupervised learning
(3)
vision transformer
(3)
human pose estimation
(2)
pose disentanglement
(2)
source-free domain adaptation
(2)
federated learning
(2)
object localization
(2)
visual question answering
(2)
data-free learning
(2)
graph neural network
(2)
embedding learning
(1)
uncertainty quantification
(1)
image retrieval
(1)
visual saliency
(1)
image segmentation
(1)
Papers
FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation
WACV 2026
O3SLM: Open Weight, Open Data, and Open Vocabulary Sketch-Language Model
AAAI 2026
Dynamic Data Selection for Efficient SSL via Coarse-to-Fine Refinement
ECCV 2024
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning
WACV 2024
Query-Guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch
WACV 2024
CoNMix for Source-Free Single and Multi-Target Domain Adaptation
WACV 2023
DE-CROP: Data-Efficient Certified Robustness for Pretrained Classifiers
WACV 2023
Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision
CVPR 2023
Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing
WACV 2023
DAD: Data-Free Adversarial Defense at Test Time
WACV 2022
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
CVPR 2022
Effectiveness of Arbitrary Transfer Sets for Data-Free Knowledge Distillation
WACV 2021
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
NeurIPS 2021
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
AAAI 2020
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation
AAAI 2020
QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware
WACV 2020
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
CVPR 2020
Sketch-Guided Object Localization in Natural Images
ECCV 2020
Text-based Person Search via Attribute-aided Matching
WACV 2020
From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason
ICCV 2019
Zero-Shot Knowledge Distillation in Deep Networks
ICML 2019