R. Venkatesh Babu
55 papers · 2014–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🏃 Academic Marathon (11) 🌈 Renaissance Researcher (5)
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(11)
🌟
Keyword Trendsetter Combo
(3)
🏠
Conference Loyalist
(24)
🤝
Dynamic Duo
(16)
🔬
Deep Specialist
(10)
🧬
Topic Evolution
📈
Trend Setter
🔥
Unstoppable
(12)
🚀
Conference Pioneer
🗃️
Keyword Collector
(195)
⚡
Prolific Year
(5)
💎
Century Club
(55)
Conferences
CVPR (24)
ECCV (13)
ICCV (10)
AAAI (3)
WACV (3)
NIPS (1)
UAI (1)
Top co-authors
Research topics
Keywords
self-supervised learning
(6)
domain adaptation
(6)
generative adversarial network
(5)
transfer learning
(5)
image generation
(5)
neural network
(5)
image classification
(4)
convolutional neural network
(4)
knowledge distillation
(4)
domain generalization
(4)
diffusion model
(4)
crowd counting
(3)
representation learning
(3)
adversarial attack
(3)
adversarial training
(3)
density estimation
(3)
source-free domain adaptation
(3)
class imbalance
(3)
multi-task learning
(2)
point cloud
(2)
Papers
Composing Parts for Expressive Object Generation
CVPR 2025
MonoPlace3D: Learning 3D-Aware Object Placement for 3D Monocular Detection
CVPR 2025
Zero-Shot Depth Aware Image Editing with Diffusion Models
ICCV 2025
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning
WACV 2024
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
CVPR 2024
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets
CVPR 2024
Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
NIPS 2024
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
CVPR 2024
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation
WACV 2024
RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases
CVPR 2023
Inspecting the Geographical Representativeness of Images from Text-to-Image Models
ICCV 2023
NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs
CVPR 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
CVPR 2023
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs
ECCV 2022
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation
ECCV 2022
Completely Self-Supervised Crowd Counting via Distribution Matching
ECCV 2022
Towards Efficient and Effective Self-Supervised Learning of Visual Representations
ECCV 2022
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity
WACV 2022
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
CVPR 2022
Towards Data-Free Model Stealing in a Hard Label Setting
CVPR 2022
Improving GANs for Long-Tailed Data through Group Spectral Regularization
ECCV 2022
Scaling Adversarial Training to Large Perturbation Bounds
ECCV 2022
Deep Implicit Surface Point Prediction Networks
ICCV 2021
Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting
CVPR 2021
Generalize Then Adapt: Source-Free Domain Adaptive Semantic Segmentation
ICCV 2021
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
ICCV 2021
Class balancing GAN with a classifier in the loop
UAI 2021
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes
CVPR 2020
Appearance Consensus Driven Self-Supervised Human Mesh Recovery
ECCV 2020
Learning to Count in the Crowd from Limited Labeled Data
ECCV 2020
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation
ECCV 2020
Class-Incremental Domain Adaptation
ECCV 2020
Towards Practical and Efficient High-Resolution HDR Deghosting with CNN
ECCV 2020
Universal Source-Free Domain Adaptation
CVPR 2020
Single-Step Adversarial Training With Dropout Scheduling
CVPR 2020
Towards Inheritable Models for Open-Set Domain Adaptation
CVPR 2020
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
CVPR 2020
From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks
CVPR 2020
FDA: Feature Disruptive Attack
ICCV 2019
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN
AAAI 2019
CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision
AAAI 2019
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
ICCV 2019
Almost Unsupervised Learning for Dense Crowd Counting
AAAI 2019
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation
ICCV 2019
Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN
CVPR 2018
NAG: Network for Adversary Generation
CVPR 2018
Gray-box Adversarial Training
ECCV 2018
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions
ECCV 2018
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
CVPR 2018
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data
CVPR 2017
Switching Convolutional Neural Network for Crowd Counting
CVPR 2017
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion With Extreme Exposure Image Pairs
ICCV 2017
Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation
CVPR 2016
Attribute-Graph: A Graph Based Approach to Image Ranking
ICCV 2015
SeamSeg: Video Object Segmentation using Patch Seams
CVPR 2014