Venkatesh Babu Radhakrishnan
22 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
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Keywords
diffusion model
(3)
semantic segmentation
(3)
knowledge distillation
(3)
domain adaptation
(2)
gaussian splatting
(2)
model compression
(2)
image classification
(2)
unsupervised learning
(2)
neural radiance field
(2)
pose estimation
(1)
transfer learning
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contrastive learning
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binary classification
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parameter estimation
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source-free domain adaptation
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probabilistic modeling
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data augmentation
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image generation
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self-supervised learning
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embedding learning
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Papers
Harnessing Diffusion-Generated Synthetic Images for Fair Image Classification
AAAI 2026
UniC-Lift: Unified 3D Instance Segmentation via Contrastive Learning
AAAI 2026
Discovering a Zero (Zero-Vector Class of Machine Learning)
ICML 2025
ChromaDistill : Colorizing Monochrome Radiance Fields with Knowledge Distillation
WACV 2025
Compass Control: Multi Object Orientation Control for Text-to-Image Generation
CVPR 2025
Attribute Diffusion: Diffusion Driven Diverse Attribute Editing
WACV 2025
PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control
ECCV 2024
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
ICLR 2024
Text2Place: Affordance-aware Text Guided Human Placement
ECCV 2024
Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks
ICLR 2023
A Closer Look at Smoothness in Domain Adversarial Training
ICML 2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation
AAAI 2022
Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels
AAAI 2022
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
ICML 2022
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation
AAAI 2020
Text-based Person Search via Attribute-aided Matching
WACV 2020
Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions
WACV 2020
Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds
WACV 2020
Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion
WACV 2020
DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
AAAI 2020
VRT-Net: Real-Time Scene Parsing via Variable Resolution Transform
WACV 2020
Zero-Shot Knowledge Distillation in Deep Networks
ICML 2019