Babu, R. Venkatesh

63 publications

CVPR 2025 Composing Parts for Expressive Object Generation Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam

CVPR 2025 MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World Ankit Dhiman, Manan Shah, R Venkatesh Babu

CVPR 2025 MonoPlace3D: Learning 3D-Aware Object Placement for 3D Monocular Detection Rishubh Parihar, Srinjay Sarkar, Sarthak Vora, Jogendra Nath Kundu, R. Venkatesh Babu

CVPRW 2025 ProtoPatchNet: An Interpretable Patch-Based Prototypical Network Mohana Singh, Vivek B. S., Jayavardhana Gubbi, R. Venkatesh Babu

ICCV 2025 Zero-Shot Depth Aware Image Editing with Diffusion Models Rishubh Parihar, Sachidanand Vs, R. Venkatesh Babu

WACV 2024 Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Pradyumna Ym, Akshay Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu

CVPR 2024 Balancing Act: Distribution-Guided Debiasing in Diffusion Models Rishubh Parihar, Abhijnya Bhat, Abhipsa Basu, Saswat Mallick, Jogendra Nath Kundu, R. Venkatesh Babu

CVPR 2024 DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets Harsh Rangwani, Pradipto Mondal, Mayank Mishra, Ashish Ramayee Asokan, R. Venkatesh Babu

CVPR 2024 Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification Sravanti Addepalli, Ashish Ramayee Asokan, Lakshay Sharma, R. Venkatesh Babu

WACV 2024 Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, Anirban Chakraborty

NeurIPS 2024 Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks Abhipsa Basu, Saswat Subhajyoti Mallick, R. Venkatesh Babu

CVPRW 2023 Certified Adversarial Robustness Within Multiple Perturbation Bounds Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani, R. Venkatesh Babu

CVPRW 2023 Continual Domain Adaptation Through Pruning-Aided Domain-Specific Weight Modulation Prasanna B, Sunandini Sanyal, R. Venkatesh Babu

CVPR 2023 DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain, Sravanti Addepalli, Pawan Kumar Sahu, Priyam Dey, R. Venkatesh Babu

ICCV 2023 Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Akshay Kulkarni, Jogendra Nath Kundu, R Venkatesh Babu

ICCV 2023 Inspecting the Geographical Representativeness of Images from Text-to-Image Models Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi

CVPR 2023 NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs Harsh Rangwani, Lavish Bansal, Kartik Sharma, Tejan Karmali, Varun Jampani, R. Venkatesh Babu

CVPR 2023 RMLVQA: A Margin Loss Approach for Visual Question Answering with Language Biases Abhipsa Basu, Sravanti Addepalli, R. Venkatesh Babu

ICCV 2023 Strata-NeRF : Neural Radiance Fields for Stratified Scenes Ankit Dhiman, R Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R Boregowda, Srinath Sridhar, R Venkatesh Babu

ECCV 2022 Completely Self-Supervised Crowd Counting via Distribution Matching Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel

ECCV 2022 Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation Jogendra Nath Kundu, Suvaansh Bhambri, Akshay Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu

ECCV 2022 Hierarchical Semantic Regularization of Latent Spaces in StyleGANs Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu

ECCV 2022 Improving GANs for Long-Tailed Data Through Group Spectral Regularization Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu

WACV 2022 LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu

CVPRW 2022 SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Singh, R. Venkatesh Babu

ECCV 2022 Scaling Adversarial Training to Large Perturbation Bounds Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu

CVPR 2022 Towards Data-Free Model Stealing in a Hard Label Setting Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu

ECCV 2022 Towards Efficient and Effective Self-Supervised Learning of Visual Representations Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu

CVPR 2022 Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation Jogendra Nath Kundu, Siddharth Seth, Pradyumna Ym, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu

CVPRW 2021 Boosting Adversarial Robustness Using Feature Level Stochastic Smoothing Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu

UAI 2021 Class Balancing GAN with a Classifier in the Loop Harsh Rangwani, Konda Reddy Mopuri, R. Venkatesh Babu

ICCV 2021 Deep Implicit Surface Point Prediction Networks Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh

ICCV 2021 Generalize Then Adapt: Source-Free Domain Adaptive Semantic Segmentation Jogendra Nath Kundu, Akshay Kulkarni, Amit Singh, Varun Jampani, R. Venkatesh Babu

CVPR 2021 Labeled from Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting K. Ram Prabhakar, Gowtham Senthil, Susmit Agrawal, R. Venkatesh Babu, Rama Krishna Sai S Gorthi

ICCVW 2021 Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions Vishal Vinod, K. Ram Prabhakar, R. Venkatesh Babu, Anirban Chakraborty

ICCV 2021 S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation Harsh Rangwani, Arihant Jain, Sumukh K Aithal, R. Venkatesh Babu

CVPRW 2020 Adversarial Fooling Beyond "Flipping the Label" Konda Reddy Mopuri, Vaisakh Shaj, R. Venkatesh Babu

ECCV 2020 Appearance Consensus Driven Self-Supervised Human Mesh Recovery Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu

ECCV 2020 Class-Incremental Domain Adaptation Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu

ECCV 2020 Learning to Count in the Crowd from Limited Labeled Data Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Sam Babu, R. Venkatesh Babu, Vishal M. Patel

CVPRW 2020 Plug-and-Pipeline: Efficient Regularization for Single-Step Adversarial Training B. S. Vivek, Ambareesh Revanur, Naveen Venkat, R. Venkatesh Babu

ECCV 2020 Towards Practical and Efficient High-Resolution HDR Deghosting with CNN K. Ram Prabhakar, Susmit Agrawal, Durgesh Kumar Singh, Balraj Ashwath, R. Venkatesh Babu

ECCV 2020 Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu

AAAI 2019 Almost Unsupervised Learning for Dense Crowd Counting Deepak Babu Sam, Neeraj N. Sajjan, Himanshu Maurya, R. Venkatesh Babu

AAAI 2019 BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu

AAAI 2019 CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision Navaneet K. L., Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu

CVPRW 2019 DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering K. L. Navaneet, Priyanka Mandikal, Varun Jampani, R. Venkatesh Babu

CVPRW 2019 Enhancing Salient Object Segmentation Through Attention Anuj Pahuja, Avishek Majumder, Anirban Chakraborty, R. Venkatesh Babu

CVPRW 2019 Regularizer to Mitigate Gradient Masking Effect During Single-Step Adversarial Training B. S. Vivek, Arya Baburaj, R. Venkatesh Babu

ECCVW 2018 3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image Priyanka Mandikal, K. L. Navaneet, R. Venkatesh Babu

AAAI 2018 Game of Sketches: Deep Recurrent Models of Pictionary-Style Word Guessing Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, R. Venkatesh Babu

ECCVW 2018 Object Pose Estimation from Monocular Image Using Multi-View Keypoint Correspondence Jogendra Nath Kundu, M. V. Rahul, Aditya Ganeshan, R. Venkatesh Babu

AAAI 2018 Top-Down Feedback for Crowd Counting Convolutional Neural Network Deepak Babu Sam, R. Venkatesh Babu

CVPR 2017 DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, R. Venkatesh Babu

ICCV 2017 DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs K. Ram Prabhakar, V Sai Srikar, R. Venkatesh Babu

CVPRW 2017 Image Denoising via CNNs: An Adversarial Approach Nithish Divakar, R. Venkatesh Babu

CVPR 2017 Switching Convolutional Neural Network for Crowd Counting Deepak Babu Sam, Shiv Surya, R. Venkatesh Babu

CVPRW 2017 Training Sparse Neural Networks Suraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu

CVPR 2016 Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation Srinivas S. S. Kruthiventi, Vennela Gudisa, Jaley H. Dholakiya, R. Venkatesh Babu

ICCV 2015 Attribute-Graph: A Graph Based Approach to Image Ranking Nikita Prabhu, R. Venkatesh Babu

CVPRW 2015 Dominant Flow Extraction and Analysis in Traffic Surveillance Videos Srinivas S. Kruthiventi, R. Venkatesh Babu

CVPRW 2015 Object Level Deep Feature Pooling for Compact Image Representation Konda Reddy Mopuri, R. Venkatesh Babu

CVPR 2014 SeamSeg: Video Object Segmentation Using Patch Seams S. Avinash Ramakanth, R. Venkatesh Babu