← Authors

R. Venkatesh Babu

55 papers · 2014–2025 · 7 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (86) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (11) 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (24) 🀝 Dynamic Duo (16) πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (12) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (195) ⚑ Prolific Year (5) πŸ’Ž Century Club (55)

Conferences

CVPR (24) ECCV (13) ICCV (10) AAAI (3) WACV (3) NIPS (1) UAI (1)

Top co-authors

Jogendra Nath Kundu (16) Varun Jampani (10) Harsh Rangwani (8) Sravanti Addepalli (7) Tejan Karmali (5) Susmit Agrawal (4) Rishubh Parihar (4) Abhipsa Basu (4) Deepak Babu Sam (4) Konda Reddy Mopuri (4)

Research topics

Computer Vision (1)

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