R. Venkatesh Babu

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 229

Top Venues

Publications

Rishubh Parihar, Abhijnya Bhat, Saswat Mallick, Abhipsa Basu, Jogendra Nath Kundu, R. Venkatesh Babu
Balancing Act: Distribution-Guided Debiasing in Diffusion Models. CoRR (2024)
M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning. WACV (2024)
Harsh Rangwani, Pradipto Mondal, Mayank Mishra, Ashish Ramayee Asokan, R. Venkatesh Babu
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets. CoRR (2024)
Rishubh Parihar, Harsh Gupta, Sachidanand VS, R. Venkatesh Babu
Text2Place: Affordance-aware Text Guided Human Placement. CoRR (2024)
Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam
Crafting Parts for Expressive Object Composition. CoRR (2024)
Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Pradyumna YM, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation. WACV (2024)
Sravanti Addepalli, Priyam Dey, R. Venkatesh Babu
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations. CoRR (2024)
Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi
Inspecting the Geographical Representativeness of Images from Text-to-Image Models. CoRR (2023)
Rishubh Parihar, Raghav Magazine, Piyush Tiwari, R. Venkatesh Babu
We never go out of Style: Motion Disentanglement by Subspace Decomposition of Latent Space. CoRR (2023)
Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu
Certified Adversarial Robustness Within Multiple Perturbation Bounds. CoRR (2023)
Samyak Jain, Sravanti Addepalli, Pawan Sahu, Priyam Dey, R. Venkatesh Babu
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CoRR (2023)
Rahul Chand, Rajat Arora, K. Ram Prabhakar, R. Venkatesh Babu
CapsFlow: Optical Flow Estimation with Capsule Networks. CoRR (2023)
Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation. CoRR (2023)
Ankit Dhiman, R. Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu
Strata-NeRF : Neural Radiance Fields for Stratified Scenes. ICCV (2023)
Abhipsa Basu, Sravanti Addepalli, R. Venkatesh Babu
RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases. CVPR (2023)
Ankit Dhiman, Srinath R, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu
Strata-NeRF : Neural Radiance Fields for Stratified Scenes. CoRR (2023)
Prasanna B, Sunandini Sanyal, R. Venkatesh Babu
Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation. CVPR Workshops (2023)
Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs. CVPR (2023)
Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Pradyumna YM, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation. CoRR (2023)
Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu
Certified Adversarial Robustness Within Multiple Perturbation Bounds. CVPR Workshops (2023)
Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks. CVPR (2023)
K. Ram Prabhakar, Vishal Vinod, Nihar Ranjan Sahoo, R. Venkatesh Babu
Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. CoRR (2023)
Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs. CoRR (2023)
Rishubh Parihar, Prasanna Balaji, Raghav Magazine, Sarthak Vora, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
Exploring Attribute Variations in Style-based GANs using Diffusion Models. CoRR (2023)
Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma, R. Venkatesh Babu
Distilling from Vision-Language Models for Improved OOD Generalization in Vision Tasks. CoRR (2023)
Prasanna B, Sunandini Sanyal, R. Venkatesh Babu
Continual Domain Adaptation through Pruning-aided Domain-specific Weight Modulation. CoRR (2023)
Ankit Dhiman, R. Srinath, Srinjay Sarkar, Lokesh R. Boregowda, R. Venkatesh Babu
CoRF : Colorizing Radiance Fields using Knowledge Distillation. CoRR (2023)
Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi
Inspecting the Geographical Representativeness of Images from Text-to-Image Models. ICCV (2023)
Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing. CoRR (2023)
Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu
Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation. ICCV (2023)
Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu
Subsidiary Prototype Alignment for Universal Domain Adaptation. CoRR (2022)
Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. WACV (2022)
Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu
Towards Efficient and Effective Self-supervised Learning of Visual Representations. ECCV (31) (2022)
Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu
Towards Data-Free Model Stealing in a Hard Label Setting. CVPR (2022)
Sravanti Addepalli, Samyak Jain, R. Venkatesh Babu
Efficient and Effective Augmentation Strategy for Adversarial Training. CoRR (2022)
Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. CVPR (2022)
Rishubh Parihar, Ankit Dhiman, Tejan Karmali, R. Venkatesh Babu
Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space Exploration. CoRR (2022)
Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu
Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation. CoRR (2022)
Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. CoRR (2022)
Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu
Towards Data-Free Model Stealing in a Hard Label Setting. CoRR (2022)
Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity. CoRR (2022)
Jogendra Nath Kundu, Akshay Kulkarni, Suvaansh Bhambri, Varun Jampani, R. Venkatesh Babu
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. CoRR (2022)
Mugalodi Rakesh, Jogendra Nath Kundu, Varun Jampani, R. Venkatesh Babu
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery. CoRR (2022)
Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. ECCV (30) (2022)
Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
Scaling Adversarial Training to Large Perturbation Bounds. CoRR (2022)
Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Singh, R. Venkatesh Babu
SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization. CVPR Workshops (2022)
Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
Scaling Adversarial Training to Large Perturbation Bounds. ECCV (5) (2022)
Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu
Towards Efficient and Effective Self-Supervised Learning of Visual Representations. CoRR (2022)
Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Kumar Singh, R. Venkatesh Babu
SISL: Self-Supervised Image Signature Learning for Splicing Detection and Localization. CoRR (2022)
Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Kumar Singh, R. Venkatesh Babu
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. ECCV (15) (2022)
Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
Improving GANs for Long-Tailed Data Through Group Spectral Regularization. ECCV (15) (2022)
Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu
Improving GANs for Long-Tailed Data through Group Spectral Regularization. CoRR (2022)
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, R. Venkatesh Babu
A Closer Look at Smoothness in Domain Adversarial Training. CoRR (2022)
Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel
Completely Self-supervised Crowd Counting via Distribution Matching. ECCV (31) (2022)
Sravanti Addepalli, Anshul Nasery, R. Venkatesh Babu, Praneeth Netrapalli, Prateek Jain
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks. CoRR (2022)
Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. CoRR (2022)
Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, R. Venkatesh Babu
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data. CoRR (2022)
K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu
Segmentation Guided Deep HDR Deghosting. CoRR (2022)
Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R. Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. CoRR (2022)
Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Deepesh Mehta, Shreyas Anand Kulkarni, Varun Jampani, R. Venkatesh Babu
Balancing Discriminability and Transferability for Source-Free Domain Adaptation. CoRR (2022)
Vishal Vinod, K. Ram Prabhakar, R. Venkatesh Babu, Anirban Chakraborty
Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions. ICCVW (2021)
Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu
VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. ICCV (2021)
K. Ram Prabhakar, Gowtham Senthil, Susmit Agrawal, R. Venkatesh Babu, Rama Krishna Sai Subrahmanyam Gorthi
Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting. CVPR (2021)
Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu
Class balancing GAN with a classifier in the loop. UAI (2021)
Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu
VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation. CoRR (2021)
K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. IEEE Trans. Computational Imaging 7 (2021)
Jogendra Nath Kundu, Akshay R. Kulkarni, Amit Singh, Varun Jampani, R. Venkatesh Babu
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. ICCV (2021)
Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu
Class Balancing GAN with a Classifier in the Loop. CoRR (2021)
Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha Narayanan Sundararaman, Amogh Kamath, R. Venkatesh Babu
Locate, Size, and Count: Accurately Resolving People in Dense Crowds via Detection. IEEE Trans. Pattern Anal. Mach. Intell. 43 (8) (2021)
Jogendra Nath Kundu, Akshay Kulkarni, Amit Singh, Varun Jampani, R. Venkatesh Babu
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. CoRR (2021)
Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu
Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing. CVPR Workshops (2021)
K. Ram Prabhakar, Susmit Agrawal, R. Venkatesh Babu
Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting. CoRR (2021)
Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh
Deep Implicit Surface Point Prediction Networks. CoRR (2021)
Naveen Venkat, Jogendra Nath Kundu, Durgesh Kumar Singh, Ambareesh Revanur, R. Venkatesh Babu
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation. CoRR (2021)
Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh
Deep Implicit Surface Point Prediction Networks. ICCV (2021)
Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu
Unsupervised Cross-Modal Alignment for Multi-person 3D Pose Estimation. ECCV (13) (2020)
Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu
Class-Incremental Domain Adaptation. CoRR (2020)
Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M. V., R. Venkatesh Babu
Towards Inheritable Models for Open-Set Domain Adaptation. CVPR (2020)
Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., R. Venkatesh Babu
Universal Source-Free Domain Adaptation. CoRR (2020)
Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu
Pictionary-Style Word Guessing on Hand-Drawn Object Sketches: Dataset, Analysis and Deep Network Models. IEEE Trans. Pattern Anal. Mach. Intell. 42 (1) (2020)
Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. CoRR (2020)
Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee
Saliency-Driven Class Impressions For Feature Visualization Of Deep Neural Networks. ICIP (2020)
Avishek Majumder, R. Venkatesh Babu, Anirban Chakraborty
PerSeg : segmenting salient objects from bag of single image perturbations. Multim. Tools Appl. 79 (3-4) (2020)
Deepak Babu Sam, Skand Vishwanath Peri, Mukuntha N. S., R. Venkatesh Babu
Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds. WACV (2020)
Vivek B. S., R. Venkatesh Babu
Regularizers for Single-step Adversarial Training. CoRR (2020)
Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis. CoRR (2020)
Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu
From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks. CVPR (2020)
Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj, R. Venkatesh Babu
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. CoRR (2020)
Vivek B. S., R. Venkatesh Babu
Single-step Adversarial training with Dropout Scheduling. CoRR (2020)
Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Babu Sam, R. Venkatesh Babu, Vishal M. Patel
Learning to Count in the Crowd from Limited Labeled Data. CoRR (2020)
Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. CoRR (2020)
Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu
From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks. CoRR (2020)
Surbhi Aggarwal, R. Venkatesh Babu, Anirban Chakraborty
Text-based Person Search via Attribute-aided Matching. WACV (2020)
Vivek B. S., R. Venkatesh Babu
Single-Step Adversarial Training With Dropout Scheduling. CVPR (2020)
Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu
Appearance Consensus Driven Self-Supervised Human Mesh Recovery. CoRR (2020)
Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M. V., R. Venkatesh Babu
Towards Inheritable Models for Open-Set Domain Adaptation. CoRR (2020)
Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu
Adversarial Fooling Beyond "Flipping the Label". CoRR (2020)
Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee
Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks. CoRR (2020)
Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu
Adversarial Fooling Beyond "Flipping the Label". CVPR Workshops (2020)
Gaurav Kumar Nayak, Saksham Jain, R. Venkatesh Babu, Anirban Chakraborty
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images. BigMM (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

R. Venkatesh Babu