Publications:

• Conferences
• Journals

Conferences

• Ankit Dhiman, Manan Shah, Rishubh Parihar, Yash Sanjay Bhalgat, Lokesh and R. Venkatesh Babu,"Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections", accepted in 3DV 2025
• Ankit Dhiman, Srinath, Srinjay, Lokesh and R. Venkatesh Babu,"ChromaDistill : Colorizing Monochrome Radiance Fields with Knowledge Distillation", accepted in WACV 2025
• Rishubh Parihar, Prasanna, Raghav, Sartak, Varun Jampani and R. Venkatesh Babu,"Attribute Diffusion: Diffusion Driven Diverse Attribute Editing", accepted in WACV 2025
• Abhipsa Basu, Saswat and R. Venkatesh Babu, "Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks", accepted in NeurIPS 2024.
• Rishubh Parihar, Sachidanand, Sabariswaran, Tejan and R. Venkatesh Babu, "PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control", accepted in ECCV 2024. [Project Page]
• Rishubh Parihar, Harsh Gupta, Sachidanand and R. Venkatesh Babu, "Text2Place: Affordance-aware Text Guided Human Placement", accepted in ECCV 2024. [Project Page]
• Sravanti A., Ashish A., Lakshay and R. Venkatesh Babu, "Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification", in CVPR 2024. [pdf] [Project Page]
• Rishubh Parihar, Abhijnya B., Abhipsa Basu, Sashwat, Jogendra and R. Venkatesh Babu, "Balancing Act: Distribution-Guided Debiasing in Diffusion Models", in CVPR 2024. [pdf] [Project Page]
• Harsh Rangwani, Pradipto M,, Mayank M., Ashish A., and R. Venkatesh Babu "DeiT-LT: Distillation Strikes Back for Vision Transformer training on Long-Tailed Datasets", in CVPR 2024. [pdf] [Project Page]
• Shrinivas, Harsh, Sho Takemori, Kunal, Yuhei Umeda and, R. Venkatesh Babu, "Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Metrics", in ICLR-2024 (Spotlight, Top 5% paper). [pdf]
• M Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani, Arya Singh, R. Venkatesh Babu, and Anirban Chakraborty, "Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning", in WACV 2024. [pdf] [Code]
• Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Pradyumna YM, Akshay Kulkarni, Jogendra Nath Kundu, and R. Venkatesh Babu, "Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation", in WACV 2024. [pdf] [Code]
• Abhipsa Basu, Danish P., and R. Venkatesh Babu, "Inspecting the Geographical Representativeness of Images from Text-to-Image Models", in ICCV 2023. [pdf] [Code/Data]
• Soumalya Nandi, Sravanti Addepalli, Harsh Rangwani and R. Venkatesh Babu, "Certified Adversarial Robustness Within Multiple Perturbation Bounds", CVPR 2023 Workshop. [pdf]
• Sunandini Sanyal, Ashish, Suvaansh, Akshay, Jogendra and R. Venkatesh Babu, "Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation", in ICCV 2023. [pdf] [Code]
• Ankit Dhiman, Srinath, Harsh, Rishubh, Lokesh, Srinath Sridhar and R. Venkatesh Babu,"Strata-NeRF: Neural Radiance fields for Stratified Scenes", in ICCV 2023. [pdf] [Code]
• Abhipsa Basu, Sravanti A., and R. Venkatesh Babu, "RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases", in CVPR 2023. [pdf] [Code]
• Samyak Jain, Sravanti A., Pawan, Priyam Dey and R. Venkatesh Babu, "DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks", in CVPR 2023. [pdf] [Code]
• Harsh Rangwani, Lavish, Kartik, Tejan, Varun J., and R. Venkatesh Babu, "NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs", in CVPR 2023. [pdf] [Code]
• Sravanti Addepalli, Anshul Nasery, R. Venkatesh Babu, Praneeth Netrapalli, and Prateek Jain, "Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks", in ICLR-2023. [joint work with Google Research India.] [Link]
• Deepak Babu Sam, Jimmy J., Abhinav A., R. Venkatesh Babu, "Dense or Sparse: Crowd Counting with Binary Supervision", in ICVGIP 2022.]
• Sravanti Addepalli, Samyak Jain and R. Venkatesh Babu, "Efficient and Effective Augmentation Strategy for Adversarial Training", in NeurIPS 2022. [Link]
• Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda and R. Venkatesh Babu"Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics", in NeurIPS 2022. [Link] [Code]
• Harsh Rangwani, Sumukh K Aithal, Mayank Mishra, R. Venkatesh Babu, Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data in NeurIPS 2022. [ArXiv] [Code]
• Jogendra Nath Kundu, Suvaansh Bhambri, Akshay Ravindra Kulkarni, Hiran Sarkar, Varun Jampani and R. Venkatesh Babu, "Subsidiary Prototype Alignment for Universal Domain Adaptation", in NeurIPS 2022. [pdf] [Project Page]
• Jogendra Nath Kundu, Suvaansh B., Akshay K., Hiran S., Varun J., and R. Venkatesh Babu, "Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation" in ECCV 2022. [pdf]
• Harsh Rangwani, Naman J., Tejan Karmali, Varun J., and R. Venkatesh Babu, "Improving GANs for Long-Tailed Data through Group Spectral Regularization" in ECCV 2022. [pdf] [Code]
• Tejan Karmali, Rishubh Parihar, Susmit A., Harsh Rangwani, Varun J., Maneesh Singh and R. Venkatesh Babu, "Hierarchical Semantic Regularization of Latent Spaces in StyleGANs" in ECCV 2022. [pdf]
• Deepak B. S., Abhinav A., Jimmy J., Vishwanath S., R. Venkatesh Babu and Vishal Patel, "Completely Self-Supervised Crowd Counting via Distribution Matching" in ECCV 2022. [pdf]
• Sravanti A., Samyak jain, Gaurang S., and R. Venkatesh Babu, "Scaling Adversarial Training to Large Perturbation Bounds" in ECCV 2022. [pdf]
• Sravanti A., Kaushal Bhogale, Priyam Dey and R. Venkatesh Babu, "Towards Efficient and Effective Self-Supervised Learning of Visual Representations" in ECCV 2022. [pdf]
• Rishubh Parihar, Ankit Dhiman, Tejan Karmali and R. Venkatesh Babu, "Everything is there in the Latent Space: Image Editing by Latent Space Manipulation", in ACMMM 2022. [Project Page]
• Harsh Rangwani, Sumukh Aithal, Mayank M., Arihant Jain and R. Venkatesh Babu, "A Closer Look at Smoothness in Domain Adversarial Training", in ICML 2022. [pdf] [Code]
• Jogendra Nath Kundu, Akshay Kulkarni, Suvaansh Bhambri, Deepesh M,. Shreyas K., Varun Jampani and R. Venkatesh Babu, "Balancing Discriminability and Transferability for Source-Free Domain Adaptation", in ICML 2022. [pdf] [Video]
• Sunandini Sanyal, Sravanti A., and R. Venkatesh Babu, “Towards Data-Free Model Stealing in a Hard Label Setting”, in CVPR 2022. [pdf] [Code]
• Jogendra N Kundu, Siddharth S., Pradyumna, Varun Jampani, Anirban C., and R. Venkatesh Babu, “Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation”, in CVPR 2022. [Project Page]
• Jogendra Nath Kundu, Akshay Kulkarni, Suvaansh Bhambri, Varun Jampani and R. Venkatesh Babu, "Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation", in AAAI 2022. [Paper] [Project Page]
• Deepak Babu Sam, Abhinav Agarwalla and R. Venkatesh Babu, "Beyond Learning Features: Training a Fully-functional Classifier with ZERO Instance-level Labels", in AAAI 2022
• K Ram Prabhakar, Vishal V., Nihar S., and R. Venkatesh Babu, "Few-Shot Domain Adaptation for Low Light RAW Image Enhancement", in BMVC 2021 [Oral][Best Student Paper - runners-up]. [pdf] [Code]
• Tejan Karmali, Abhinav Atrishi, S S Harsha, Susmit A., Varun Jampani and R. Venkatesh Babu, "LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity", in WACV 2022. [Paper] [Project Page]
• Jogendra Nath Kundu, Siddharth Seth, Anirudh, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu, "Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation", in NeurIPS 2021.
• Mugalodi Rakesh, Jogendra Nath Kundu, Varun Jampani, R. Venkatesh Babu, "Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery", in NeurIPS 2021.
• Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj and R. Venkatesh Babu, “Towards Efficient and Effective Adversarial Training”, in NeurIPS 2021.
• Vishal Vinod, Ram Prabhakar, R. Venkatesh Babu and Anirban Chakraborty, "Multi-Domain Conditional Image Translation: Translating Driving Datasets from Clear-Weather to Adverse Conditions", in ILDAV, ICCV Workshop 2021.
• Harsh Rangwani, Arihant Jain, Sumukh Aithal, and R. Venkatesh Babu, "S^3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation", in ICCV 2021. [Paper] [Code]
• Rahul M V, Tejan Karmali, S. Sharma, A. Ghosh, Laszlo Jeni, R. Venkatesh Babu, and Maneesh Singh, “Deep Implicit Surface Point Prediction Networks”, in ICCV 2021. [Joint work with CMU and Verisk]
• Jogendra Nath Kundu, Akshay Kulkarni, Amit Kumar Singh, Varun Jampani, and R. Venkatesh Babu, “Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation”, in ICCV 2021. [Paper][Project Page]
• Harsh Rangwani, Konda Reddy, and R. Venkatesh Babu, "Class Balancing GAN with a Classifier in the Loop", in UAI 2021. [arXiv] [Code]
• Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan and R. Venkatesh Babu, "Boosting Adversarial Robustness using Feature Level Stochastic Smoothing", in SAIAD, CVPRW'21. [Paper]
• Ram Prabhakar, Gowtham Senthil, Susmit Agrawal, R. Venkatesh Babu, and G. R. K. S. Subrahmanyam, "Labeled from Unlabeled: Exploiting Unlabeled Data for Few-shot Deep HDR Deghosting", in CVPR 2021. [Paper]
• Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj and R. Venkatesh Babu, “Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses”, in NeurIPS 2020. [Spotlight, top 4%] [arXiv] [Code]
• Naveen, Jogendra Nath Kundu, Durgesh, Ambareesh and R. Venkatesh Babu, “Your Classifier can Secretly Suffice Multi-Source Domain Adaptation”, in NeurIPS 2020. [Paper]
• Surbhi Aggarwal, Jogendra Nath Kundu, R. Venkatesh Babu and Anirban C., “WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation”, in BMVC 2020. [Oral, top 5%][Paper]
• Jogendra Nath Kundu, Mugalodi R Rakesh, Varun Jampani, Rahul M. V., R. Venkatesh Babu, “Appearance Consensus Driven Self-Supervised Human Mesh Recovery”, in ECCV 2020. accepted in ECCV 2020. [Oral, top 2%]] [arXiv][Project Page]
• K. Ram Prabhakar, Susmit Agrawal, Durgesh Kumar Singh, Balraj Ashwath, R. Venkatesh Babu, “Towards Practical and Efficient High-Resolution HDR Deghosting with CNN”, in ECCV 2020.[Project Page]
• Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul M. V., R. Venkatesh Babu, “Unsupervised Cross-Modal Alignment For Multi-Person 3D Pose Estimation”, in ECCV 2020. [arXiv][Project Page]
• Vishwanath S, Rajeev Yasarla, Deepak B. S., R. Venkatesh Babu, Vishal Patel “Learning to Count in the Crowd from Limited Labeled Data”, in ECCV 2020. [arXiv]
• Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., Ambareesh Revanur, R. Venkatesh Babu, “Class-Incremental Domain Adaptation”, in ECCV 2020. [arXiv][Project Page]
• Sravanti A., Dipesh T., R. Venkatesh Babu and Biplab Banerjee,"Saliency-Driven Class Impressions for Feature Visualization of Deep Neural Networks", in ICIP 2020. [arXiv]
• Vivek B. S., Ambareesh R., Naveen Venkat and R. Venkatesh Babu, "Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training", in CVPR 2020 Workshop on Fair, Data Efficient and Trusted Computer Vision. [CVF Link]
• Mopuri Reddy, Vaisakh S., R. Venkatesh Babu, "Adversarial Fooling beyond "flipping the label", in CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision. [PDF]
• K. Ram Prabhakar, Akshaya R., S. Bhambri, J. Gubbi, R. Venkatesh Babu and P. Balamuralidhar, "CDNet++: Improved Change Detection with Deep Neural Network Feature Correlation", in IJCNN 2020.
• Vivek B. S. and R. Venkatesh Babu, "Single-step Adversarial training with Dropout Scheduling", in CVPR 2020. [arXiv][CVF Link]
• Sravanti A., Vivek B. S., Arya B., Gaurang S., and R. Venkatesh Babu,"Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes", in CVPR 2020. [arXiv][CVF Link][Code]
• Jogendra Nath K., Siddharth S., Varun J., Rakesh M., R. Venkatesh Babu and Anirban C.,"Self-Supervised 3D Human Pose Estimation Via Part Guided Novel Image Synthesis", in CVPR 2020. [Oral, top 5.7%]] [arXiv][CVF Link][Project Page]
• Jogendra Nath K., Naveen V., Ambareesh R., Rahul M.V. and R. Venkatesh Babu,"Towards Inheritable Models for Open-set Domain Adaptation", in CVPR 2020. [Oral, top 5.7%][arXiv][CVF Link] [Project Page]
• Jogendra Nath K., Naveen V., Rahul M.V. and R. Venkatesh Babu, "Universal Source-Free Domain Adaptation", in CVPR 2020. [arXiv][CVF Link][Project Page]
• Navaneet K.L., Ansu M., Shashank K., Wei-Chih Hung, Varun J. and R. Venkatesh Babu,"From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks", in CVPR 2020. [PDF][arXiv][Code][CVF Link]
• Sravanti A., Gaurav N., Anirban C., and R. Venkatesh Babu, "DeGAN : Data-enriching GAN for retrieving Representative Samples from a Trained Classifier", in AAAI 2020. [arXiv]
• Jogendra Nath Kundu, Siddharth Seth, Rahul M.V., Rakesh M., R. Venkatesh Babu and Anirban C., "Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation", in AAAI 2020. [Oral, top 5.8%]].[Project Page]
• Jogendra Nath Kundu, M., Rahul M.V., Jay, and R. Venkatesh Babu, "Unsupervised Cross-Dataset Adaptation Via Probabilistic Amodal 3D Human Pose Completion", in WACV 2020. [PDF].
• Jogendra Nath Kundu, Gaurav Rajput and R. Venkatesh Babu, "VRT-Net: Real-Time Scene Parsing Via Variable Resolution Transform", in WACV 2020. [PDF]
• Deepak Babu Sam., Skand Peri, Mukunda, and R. Venkatesh Babu, "Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds", in WACV 2020. [PDF]
• Surbhi A., R. Venkatesh Babu and Anirban C.,, "Text-based Person Search via Attribute-aided Matching", in WACV 2020. [PDF]
• Jogendra Nath Kundu, Himanshu B., Priyanka M., Rahul M.V., Anirudh, and R. Venkatesh Babu, "Cross-conditioned Recurrent Networks for Long-term Synthesis of Inter-person Human Motion Interactions", in WACV 2020. [PDF]
• Jogendra Nath Kundu, Nishank L., and R. Venkatesh Babu, "UM-Adapt: Unsupervised Multi-task Adaptation using Adversarial Cross-task Distillation", accepted in ICCV 2019. [Oral, top 4.7%]].[arXiv]
• Aditya G., Vivek B.S., and R. Venkatesh Babu, "FDA: Feature Disruptive Adversarial Attack", in ICCV 2019.[arXiv]
• Jogendra Nath Kundu, Maharshi G., Dakshit A., and R. Venkatesh Babu, "GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-modal Data Distributions", in ICCV 2019.[arXiv][Code]
• Gaurav N., Utkarsh S., R. Venkatesh Babu and Anirban C., "Efficient Person Re-Identification in Videos Using Sequence Lazy Greedy Determinantal Point Process (SLGDPP)", in ICIP 2019. [Link]
• Gaurav N., Mopuri Reddy, Vaisakh S., R. Venkatesh Babu and Anirban C., "Zero Shot Knowledge Distillation in Deep Networks", in ICML 2019. [arXiv]
• Navaneet K.L., Varun Jampani, Priyanka M. and R. Venkatesh Babu, "DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering", in 3DWiDGET, CVPR Workshop 2019. [pdf]
• Vivek B.S., Arya Baburaj and R. Venkatesh Babu, "Regularizer to Mitigate Gradient Masking Effect during Single-Step Adversarial Training", in CVCOPS, CVPR Workshop 2019. [pdf]
• K. Ram Prabhakar, Rajat A., Aditya S., Kunal S, and R. Venkatesh Babu, "A Fast, Scalable and Reliable Deghosting Method for Extreme Exposure Fusion", in ICCP 2019 [Oral].[Project Page]
• Navaneet K.L., Vasudha T., R. Venkatesh Babu and Anirban C., "All for One: Frame-wise Rank Loss for improving Video-based Person Re-Identification", in ICASSP 2019. [Oral][pdf]
• Jogendra Nath Kundu, Maharshi G., Phani K., and R. Venkatesh Babu, "Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding Manifold", in WACV 2019.[pdf]
• Priyanka M. and R. Venkatesh Babu, "Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network", in WACV 2019.[pdf][Code]
• Navaneet K.L., Priyanka M., Mayank A., and R. Venkatesh Babu, "CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision", in AAAI 2019.[pdf][Code]
• Deepak Babu Sam, Neeraj S., Himanshu M., and R. Venkatesh Babu, "Almost Unsupervised Learning for Dense Crowd Counting", in AAAI 2019.[pdf]
• Jogendra Nath Kundu, Maharshi G., and R. Venkatesh Babu, "BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN", in AAAI 2019.[pdf]
• Mopuri Reddy, Akshay V., and R. Venkatesh Babu, "BatchOut: Batch-level feature augmentation to improve robustness to adversarial example", in ICVGIP, 2018.[pdf]
• Jogendra Nath Kundu, Aditya G., Rahul M V., and R. Venkatesh Babu, "Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence", in GMDL, ECCV Workshop, 2018.
• Priyanka M., Navaneet K.L., and R. Venkatesh Babu, "3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction from a Single Image", in 3DRMS, ECCV Workshop, 2018.
• Vivek B.S., M. Reddy and R. Venkatesh Babu, "Gray box Adversarial Training" in ECCV 2018.[arXiv][Code]
• M. Reddy, Phani Krishna and R. Venkatesh Babu, "Ask, Acquire and Attack: Data-free UAP generation using Class impressions" in ECCV 2018.[arXiv]
• Navaneet K. L., Priyanka M., Mayank Agarwal and R. Venkatesh Babu, "3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image" in BMVC 2018.[arXiv][Code]
• Jogendra Nath Kundu, Aditya G., Rahul M V., Aditya P., and R. Venkatesh Babu, "iSPA-Net: Iterative Semantic Pose Alignment Network" in ACMMM 2018.[arXiv]
• M. Reddy, Vishal, and R. Venkatesh Babu, "Learning Representations with Strong Supervision for Image Search" in SPCOM 2018. [Best Paper Award]
• Akshay, Suraj Srinivas and R. Venkatesh Babu, "Estimating Confidence for Deep Neural Networks Through Density Modeling" in SPCOM 2018.
• M. Reddy, Utkarsh Ohja, Utsav Garg and R. Venkatesh Babu, "NAG: Network for Adversary Generation", in CVPR 2018.[Link][Code]
• Deepak Babu Sam, Neeraj S., R. Venkatesh Babu, and S. Mukundan"Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN", in CVPR 2018.[Link]
• Jogendra Nath Kundu, Phani Krishna, Anuj P. and R. Venkatesh Babu, "AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation", in CVPR 2018.[Link][Project]
• Deepak Babu Sam and R. Venkatesh Babu, "Top-Down Feedback for Crowd Counting Convolutional Neural Network" in AAAI 2018.[pdf]
• Ravi Kiran S, Shiv Surya, Trisha and R. Venkatesh Babu, "Game of Sketches: A Deep Neural Model of Word Guessing for Pictionary", in AAAI 2018.[arXiv][Project]
• Avishek Majumder and R. Venkatesh Babu, "Deep Neural Network for Foreground Object Segmentation: An Unsupervised Approach", in NCVPRIPG, 2017.[pdf]
• Avishek Majumder, R. Venkatesh Babu and Anirban Chakraborthy, "Anomaly From Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction", in NCVPRIPG, 2017.[pdf]
• K Ram Prabhakar, Sai Srikar and R. Venkatesh Babu, "DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs", in ICCV, 2017.[Code]
• Konda Reddy Mopuri, Utsav Garg and R. Venkatesh Babu, "Fast Feature Fool: A Data Independent Approach to Universal Adversarial Perturbations", in BMVC, 2017. [pdf][github-repo]
• Ravi Kiran Sarvadevabhatla, Isht Dwivedi, Abhijat Biswas, Sahil Manocha and R. Venkatesh Babu,"SketchParse: Towards Rich Descriptions For Poorly Drawn Sketches Using Multi-Task Hierarchical Deep Networks", in ACMMM, 2017.[pdf][github-repo]
• Suraj Srinivas, Akshay Varun and R. Venkatesh Babu,"Training Sparse Neural Networks", EVW, CVPRW, 2017.[pdf]
• Nithish Divakar and R. Venkatesh Babu,"Image Denoising via CNNs: An Adversarial Approach", NITRE, CVPRW 2017.[pdf]
• Deepak Babu Sam, Shiv Surya and R. Venkatesh Babu,"Switching Convolutional Neural Network for Crowd Counting", CVPR, 2017.[Project Page][Code]
• Ravi Kiran Sarvadevabhatla, Swaminathan G. and R. Venkatesh Babu,"DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data", CVPR, 2017.[pdf][github-repo]
• Konda Reddy Mopuri, Vishal and R. Venkatesh Babu,"Deep Image Representations using Caption Generators", in ICME, 2017. [Link]
• Suraj Srinivas, Akshay Varun and R. Venkatesh Babu,"Confidence Estimation in Deep Neural Networks via Density Modelling", in ICME, 2017.[pdf]
• Souradeep Chakraborty, Jogendra Nath Kundu, R. Venkatesh Babu,"Deep image inpainting with region prediction at hierarchical scales", in ICVGIP, 2016.[ Link]
• Konda Reddy Mopuri, R. Venkatesh Babu,"Towards Semantic Visual Representation: Augmenting Image Representation with Natural Language Descriptors", in ICVGIP, 2016.[Project Page]
• Ravi Kiran Sarvadevabhatla, Raviteja Meesala, Manjunath Hegde, R. Venkatesh Babu,"Analyzing object categories via novel category-ranking measures defined on visual feature emebddings", in ICVGIP, 2016. [ Link]
• Shiv Surya, R. Venkatesh Babu,"TraCount: A Deep Convolutional Neural Network for Highly Overlapping Vehicle Counting", in ICVGIP, 2016. [Link]
• Lokesh Boominathan, Suraj Srinivas,Venkatesh Babu R.,"Compensating for Large In-Plane Rotations in Natural Images", in ICVGIP, 2016. [Link]
• Ravi Kiran Sarvadevabhatla, Shanthakumar V. and R. Venkatesh Babu, "'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems", in ACCV, 2016. [Link]
• Suraj Srinivas and R. Venkatesh Babu, "Learning Neural Net Architectures using Backpropagation", in BMVC, 2016.[pdf].
  
• Ravi Kiran Sarvadevabhatla, Jogendra Nath Kundu and R. Venkatesh Babu, "Enabling my robot to play Pictionary: Recurrent Neural Networks for sketch recognition", in ACMMM, 2016.[pdf].[Code].
  
• Ravi Kiran Sarvadevabhatla and R. Venkatesh Babu, "Analyzing structural characteristics of object category representations from their semantic-part distributions", in ACMMM, 2016.[pdf].[Project Page][Code and Part-annotated sketch object dataset]
  
• Ravi Kiran Sarvadevabhatla, Shiv Surya, Srinivas S S Kruthiventi and R. Venkatesh Babu, "SwiDeN: Convolutional Neural Networks for Depiction Invariant Object Recognition", in ACMMM, 2016.[pdf].[Code].
  
• Lokesh Boominathan, Srinivas S S Kruthiventi and R. Venkatesh Babu, "CrowdNet: Convolutional Neural Networks for Crowd Counting", in ACMMM, 2016.[pdf][Project Page]
  
• Nithish Divakar and R. Venkatesh Babu, "Denoising in a Jiffy: A Fast and GPU Friendly Algorithm for Image Denoising" in SPCOM 2016
  
• Kumaresh Krishnan, Nikita Prabhu and R. Venkatesh Babu, "ARRNET: Action Recognition through Recurrent Neural Networks", in SPCOM 2016
  
• Sunil Kumar Vengalil, Neelam Sinha, Srinivas S S Kruthiventi and R. Venkatesh Babu, "Customizing CNNs for Blood Vessel Segmentation From Fundus Images", in SPCOM 2016
  
• Srinivas S S Kruthiventi, Vennela Gudisa, Jaley Dholakiya and R. Venkatesh Babu, "Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation", in CVPR 2016.[pdf][ Project Page]
  
• Chintak Sheth and R. Venkatesh Babu, "Object Saliency using a Background Prior", in ICASSP, 2016.[pdf]
  
• K Ram Prabhakar and R. Venkatesh Babu, "Ghosting-Free Multi-Exposure Image Fusion in Gradient Domain", in ICASSP, 2016. [Project Page]
  
• Nikita Prabhu and R. Venkatesh Babu, "Attribute-Graph: A Graph based approach to Image Ranking", in ICCV, 2015 [pdf][ Project Page][Graphs]
  
• Ravi Kiran Sarvadevabhatla and R. Venkatesh Babu, "Eye of the Dragon : Exploring discriminatively minimalist sketch-based abstractions for object categories", in ACMMM, 2015 [pdf]
  
• Suraj Srinivas and R. Venkatesh Babu, "Data-free Parameter Pruning for Deep Neural Networks", in BMVC, 2015[pdf]
  
• Srinivas S S Kruthiventi and R. Venkatesh Babu, "Crowd Flow Segmentation in Compressed Domain using CRF", in ICIP, 2015[pdf]
  
• Sai Srivatsa R and R. Venkatesh Babu, "Salient Object Detection via Objectness Measure", in ICIP, 2015[pdf][ Project Page]
  
• Srinivas S S Kruthiventi and R. Venkatesh Babu, "Dominant Flow Extraction and Analysis in Traffic Surveillance Videos", in CVPR workshop on Group And Crowd Behavior Analysis And Understanding, 2015.[pdf]
  
• Konda Reddy Mopuri and R. Venkatesh Babu, "Object Level Deep Feature Pooling for Compact Image Representation", in CVPR workshop on Deep Vision, 2015 [pdf] [ [Project Page]
  
• Srinivas S S Kruthiventi and R. Venkatesh Babu, "3D Action Recognition by Learning Sequences of Poses", in ICVGIP, 2014.[Paper]
• Nikita Prabhu, Avinash Ramakanth and R. Venkatesh Babu, "Patch Flow based Visual Object Tracking", in ICVGIP, 2014.[Paper]
• Sovan Biswas and R. Venkatesh Babu, "Short Local Trajectory based moving anomaly detection", in ICVGIP, 2014 [Paper]
• Aniruddha Acharya and R. Venkatesh Babu, "Fractal Codes based Secret Image Sharing", in ICVGIP, 2014 [Paper]
• Chintak Sheth and R. Venkatesh Babu, "Super Pixel Clustering via Kernel Density Estimation", in ICVGIP, 2014 [Paper]
• Sovan Biswas and R. Venkatesh Babu, "Sparse Representation based Anomaly detection with Enhanced Local Dictionaries", in ICIP, Paris, 2014 [Paper]
• Sovan Biswas, Gnana Praveen and R. Venkatesh Babu,"Super-pixel Based Crowd Flow Segmentation in H.264 Compressed Videos", in ICIP, Paris, 2014. [Project Page]
• Sovan Biswas and R. Venkatesh Babu, “Sparse Representation Based Anomaly Detection Using HOMV in H.264 Compressed Videos”,  in SPCOM, 2014
• Nirmal Jith and R. Venkatesh Babu, “Joint Bilateral Filtering Based Non-local Means Image Denoising”, in SPCOM, 2014.
• Suraj V. and R. Venkatesh Babu, “Entropy Constrained Exemplar-based Image Inpainting”, in SPCOM, 2014
  
• Avinash Ramakanth and R. Venkatesh Babu, SeamSeg: Video Object Segmentation using Patch Seams, in CVPR, Columbus, Ohio, USA, 2014. [pdf][Project Page][Code]
• Aniruddha Acharya and R. Venkatesh Babu, "Visual Object Tracking Via Random Ferns based Classification", in ICASSP, Florance, Italy, 2014. [pdf]
• Nirmal Jith, Avinash Ramakanth and R. Venkatesh Babu, "Optical Flow Estimation Using Approximate Nearest Neighbor Field Fusion", in ICASSP, Florance, Italy, 2014. [pdf]
  
• S. Kartick and R. Venkatesh Babu , “3-D Optical Flow Features based Human Action Recognition System using Meta-Cognitive Neuro-Fuzzy Inference System", in IEEE ISSNIP, Singapore, 2014. [pdf]
• Suraj Vantigodi and R. Venkatesh Babu, “Action Recognition from Motion Capture Data using Meta-cognitive RBF Network", in IEEE ISSNIP, Singapore, 2014. [pdf]
• R. Badrinarayanan and R. Venkatesh Babu, "Human Action Recognition in Compressed Domain using PBL-McRBFN approach", in IEEE ISSNIP, Singapore, 2014. [pdf]
• Avinash Ramakanth and R. Venkatesh Babu, “Super Resolution Using a Single Image Dictionary”, in IEEE CONECCT'14, Bangalore, 2014. [DOI]
  
• Nirmal Jith, Avinash Ramakanth and R. Venkatesh Babu, “Optical Flow based on Approximate Nearest Neighbour Field”, in IEEE CONECCT'14, Bangalore, 2014. [DOI]
• Gnana Praveen and R. Venkatesh Babu, “Crowd Flow Segmentation based on Motion Vectors in H.264 Compressed Domain”, in IEEE CONECCT'14, Bangalore, 2014. [DOI]
• Konda Reddy Mopuri, Jayasimha Talur and R. Venkatesh Babu, “Sparse coding based VLAD for efficient image retrieval” in IEEE CONECCT'14, Bangalore, 2014. [DOI]
  
• Manu Tom and R. Venkatesh Babu, "Fast Moving-Object Detection in H.264/AVC Compressed Domain for Video Surveillance",  in NCVPRIPG 2013. [DOI]
  
• Sovan Biswas and R. Venkatesh Babu, "Real-time Anomaly Detection in H.264 Compressed Videos",  in NCVPRIPG 2013. [DOI]
  
• Suraj Vantigodi and R. Venkatesh Babu, "Real-time Human Action Recognition using Motion Capture Data",  in NCVPRIPG 2013. [DOI]
  
• Avinash Ramakanth and R. Venkatesh Babu, ,"OD-Match: A PatchMatch based Optic Disk Detection",  in NCVPRIPG 2013. [DOI]
  
• Konda Reddy Mopuri, Shahil Arora and R. Venkatesh Babu, "Spatio-Temporal feature based VLAD for efficient Video retrieval",  in NCVPRIPG 2013. [DOI]
  
• Aniruddha Acharya and R. Venkatesh Babu, "Speeding up SIFT using GPU",  in NCVPRIPG 2013. [DOI]
  
• Manu Tom and R. VenkateshBabu, “Rapid Human Action Recognition For H.264/AVC Surveillance Videos", in IEEE VCIP 2013. [DOI]
  
• Ashwini M. J., R. Venkatesh Babu and K. R. Ramakrishnan, "Context-Aware Real-Time Tracking in Sparse Representation Framework", in IEEE International Conference on Image Processing (ICIP), 2013. [pdf]
• R. Venkatesh Babu, "Real-time Robust Tracking Via Sparse Representation: A Mode Seeking Approach", in IEEE International Conference on Image Processing (ICIP), 2013. [pdf]
• R. Venkatesh Babu and Priti Parate, "Interst Poins Based Object Tracking via Sparse Representation", in IEEE International Conference on Image Processing (ICIP), 2013. [pdf]
• Sovan Biswas and R. Venkatesh Babu, "H.264 Compressed Video Classification Using Histogram of Oriented Motion Vectors (HOMV)", in IEEE International  Conference on Acoustic Speech and Signal Processing (ICASSP), pp. 2040-2044, Vancouver, Canada 2013. [pdf]
  
• Sreekanth Raja and R. Venkatesh Babu, "A Near Optimal Projection for Sparse Representation based Classification", in IEEE International  Conference on Acoustic Speech and Signal Processing (ICASSP), pp. 2089-2093, Vancouver, Canada, 2013. [pdf]
  
• Avinash Ruchandani and R. Venkatesh Babu,"Local Appearance based Robust Tracking via Sparse Representation", in ICVGIP 2012. [pdf]
• Naresh Kumar M.S., and R. Venkatesh Babu, "Human Gait Recognition Using Depth Camera: A Covariance Based Approach", in ICVGIP 2012. [pdf][Matlab code]
• Sudharshan S., and R. Venkatesh Babu, "Super resolution via sparse representation in L1 framework", in ICVGIP 2012. [pdf][Matlab code]
  
• S. Avinash and R. Venkatesh Babu, "FeatureMatch: An Efficient Low Dimensional PatchMatch Technique", in ICVGIP 2012. [pdf][Matlab code] [results] 
• Naresh Kumar M. S., Priti Parate and R. Venkatesh Babu, Fragment-based Real-time Object Tracking: A Sparse Representation Approach, in IEEE International Conference on Image Processing (ICIP), pp. 433-436, Orlando, Florida, USA, 2012. [pdf] [poster]  [results] [Matlab code][Videos]
• Neelam Sinha and R. Venkatesh Babu, Optic Disk Localization using L1 minimization, in IEEE International Conference on Image Processing (ICIP), pp. 2829-2832, Orlando, Florida, USA, 2012. [pdf]  [results] [Matlab code]
• Vennila Megavannan, Bhuvnesh Agarwal and R. Venkatesh Babu, Human Action Recognition Using Depth Maps, in International Conference on Signal Processing and Communications (SPCOM), 2012. [pdf]
• Neelam Sinha and R. Venkatesh Babu, Sparse Representation for Optic Disk Detection, in International Conference on Signal Processing and Communications (SPCOM), 2012. [pdf]
• S. Kartick, S. Suresh and R. Venkatesh Babu, Meta-Cognitive Neuro Fuzzy Inference System for Human Emotion Recognition, in IJCNN 2012.
  
• G. Krishna Vinay, Sk. M. Haque, R. Venkatesh Babu and K.R.Ramakrishnan, Human Detection using Sparse Representation, in IEEE International  Conference on Acoustic Speech and Signal Processing (ICASSP), pp. 1513 - 1516, 2012. [pdf]
  
• R. Venkatesh Babu and S. Suresh, Fully Complex-valued ELM Classifiers for Human Action Recognition,  in IJCNN 2011, pp. 2803-2308. [pdf]
  
• Chhabi Nigam, R. Venkatesh Babu, S. Kumar Raja and K. R. Ramakrishnan, Feature Fusion for Robust Object Tracking with Fragmented Particles, in ICDSC 2007. [pdf]
  
• Jaideep Jeykar, R. Venkatesh Babu and K. R. Ramakrishnan, Robust Object Tracking Using Local Kernels and Background Information, in ICIP 2007. [pdf]
• R. Venkatesh Babu, S. Suresh and A. Makur, Robust Object Tracking with Radial Basis Function Networks, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , vol 1, pp. 937-940, 2007. [pdf]
  
• R. Venkatesh Babu and A. Makur, Kernel-based Spatial-Color Modeling for Fast Moving Object Tracking, in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 901-904, 2007. [pdf]
• R. Venkatesh Babu and S. Suresh, GAP-RBF based NR Image Quality Measurement for JPEG coded Images, in the proceedings of the 5^th Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP), LNCS-4338, pp. 718-727, 2006.
  
• R. Venkatesh Babu and Anamitra Makur, Object-based Surveillance Video Compression using Foreground Motion Compensation, in the Proceedings of the 9th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 458-463, 2006. [pdf]
• S. Suresh, R. Venkatesh Babu and N. Sundararajan, Image Quality Measurement Using Extreme Sparse Learning Machine, in the Proceedings of the 9th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 560-565, 2006.
• R. Venkatesh Babu, Patrick Perez and Patrick Bouthemy, Kernel-Based Robust Tracking for Objects undergoing Occlusion, in proceedings of Asian Conference on Computer Vision (ACCV), LNCS-3852, pp. 353-362, 2006.
  
• R. Venkatesh Babu, Patrick Perez and Patrick Bouthemy, Robust Tracking with Motion Estimation and Kernel-Based Color Modeling, in IEEE International Conference on Image Processing (ICIP 2005), Vol. 1, pp. 717-720, Genova, Italy, 2005. [pdf]
  
• R. Venkatesh Babu and Andrew Perkis, An HVS-Based No-Reference Perceptual Quality Assessment of JPEG Coded Images Using Neural Networks, in IEEE International Conference on Image Processing (ICIP 2005), Vol. 1, pp. 433-436, Genova, Italy, 2005. [pdf] 
• R. Venkatesh Babu, Ajit Bopardikar, Andrew Perkis and Odd Inge Hillestad, No-Reference Metrics for Video Streaming Applications, in the 14th International Packet Video Workshop (PV-2004), December 13-14, University of California, Irvine, 2004. [pdf]
  
• R. Venkatesh Babu, Ajit Bopardikar and Andrew Perkis, A Perceptual No- Reference Blockiness Metric for JPEG Images, in 4^th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2004), December 16 - 18, Kolkata, India, 2004. [pdf] [Matlab Code]
  
• R. Venkatesh Babu, Ajit Bopardikar, Andrew Perkis and Odd Inge Hillestad, A No-Reference Measure for the effect of Packet-loss in Video Streaming Over IP, in the Proceedings of the 11^th International Workshop on Systems, Signals and Image Processing, (IWSSIP 04), September 13-15, Poznan, Poland, 2004.
• Andrew Perkis, R. Venkatesh Babu and Peder Drege, A QoS-Driven UMA Viewer in MPEG-21 Framework, in the Proceedings of the 12^th European Signal Processing Conference (EUSIPCO-2004), September 6-10, Vienna, Austria, 2004. 
• K. Kalapriya, R. Venkatesh Babu and S. Nandhy , Streaming Stored Playback video over a peer-to-peer network, in the Proceedings of the IEEE International Conference on Communication (ICC-2004) , Vol. 3, pp. 1298-1302, June 20 - 24, Paris, France, 2004. [pdf]
  
• Odd Inge Hillestad, R. Venkatesh Babu, Ajit Bopardikar and Andrew Perkis, Video Quality Evaluation for UMA, in the Proceedings of the International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS-2004), April 21-23, Lisbon, 2004. 
• R. Venkatesh Babu and K. R. Ramakrishnan, Compressed Domain Human Action Recognition using Motion History Information, In the Proceedings of the IEEE International Conference on Image Processing (ICIP-2003), vol. 3, pp. 321-324, September 14 - 17, Barcelona, Spain, 2003. [pdf]
  
• R. Venkatesh Babu and K. R. Ramakrishnan, Background Sprite Generation Using MPEG Motion Vectors, In Proceedings of the 3^rd Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2002). pp. 7-12, December 16 - 18, Ahmedabad, India, 2002. [pdf]
• R. Venkatesh Babu and K. R. Ramakrishnan, Content-based Video Retrieval using Motion Descriptors Extracted from Compressed Domain, In Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS-2002), vol. IV, pp. 141-144, May 26 - 29, Scottsdale, Arizona, USA, 2002. [pdf]
  
• R. Venkatesh Babu and K. R. Ramakrishnan, Compressed Domain Motion Segmentation for Video Object Extraction, In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2002), vol. IV, pp. 3788-3791, May 13-17, Orlando, Florida, USA, 2002. [pdf]
• R. Venkatesh Babu, B. Anantharaman, K. R. Ramakrishnan and S. H. Srinivasan, Compressed domain action classification using HMM, In Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL-2001), pp. 44-49, Dec. 14, Kauai, Hawaii USA, 2001.
• R. Venkatesh Babu, K. R. Ramakrishnan and S. H. Srinivasan, Video Object Segmentation: A Compressed Domain Approach, In the Proceedings of the Tenth Annual Symposium of the IEEE Bangalore Section on Multimedia Communications and Signal Processing, pp. 97-101, Nov. 23-24, Bangalore, 2001

Journals

• Sravanti Addepalli, Priyam Dey and R. Venkatesh Babu, "ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations", Transactions on Machine Learning Research (TMLR), October 2024. [PDF]
• Yash Sawant, Jogendra Nath Kundu, R. Venkatesh Babu and Devarajan Sridharan, "A Midbrain Inspired Recurrent Neural Network Model for Robust Change Detection", Journal of Neuroscience , Vol. 42, No. 44, pp. 8262-8283, Nov., 2022. [PDF]
• K Ram Prabhakar, Susmit Agarwal and R. Venkatesh Babu, "Self-Gated Memory Recurrent Network for Efficient Scalable HDR Deghosting", in IEEE Trans. Computational Imaging (TCI), Vol. 7, pp. 1228-1239, 2021. [Code]
• Deepak Babu Sam, Skand V Peri, Mukundha N., Amogh K., and R. Venkatesh Babu, "Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection", IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol. 43, No. 8, pp. 2739-2751, 2021. [arXiv][Code]
• Navaneet K.L., Ravikiran S., Shashank S., R. Venkatesh Babu and Anirban C., "Operator-in-the-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification", IEEE Trans. on Information Forensics & Security, (TIFS), Vol. 15, pp. 2375-2385, 2020. [arXiv]
• Avishek M., R. Venkatesh Babu, and Anirban C., "PerSeg: Segmenting Salient Objects From Bag of Single Image Perturbations", in Multimedia Tools and Applications, , Vol. 79, pp. 2473–2493, 2020. [Link]
• Ravi Kiran S., Shiv Surya, Trisha M. and R. Venkatesh Babu, "Pictionary-style word-guessing on hand-drawn object sketches: dataset, analysis and deep network models", IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol. 42, No. pp. 221-231, 2020. [Link] [Code]
• Navchetan Awasthi, K. Ram Prabhakar, Sandeep Kumar Kalva, Manojit Pramanik, R. Venkatesh Babu, and Phaneendra K. Yalavarthy, "PA-Fuse: A Deep Supervised Approach for Fusion of Photoacoustic Images with Distinct Reconstruction Characteristics", in Biomedical Optics Express, Vol. 10, No.5, pp. 2227-2243, 2019. [pdf][Link]
• Mopuri Reddy, Aditya Ganeshan and R. Venkatesh Babu, "Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations", IEEE Trans. Pattern Analysis and Machine Intelligence (PAMI), Vol. 41, No. 10, pp. 2452-2465, Oct. 2019. [arXiv][Link] [Code]
• Mopuri Reddy, Utsav Garg and R. Venkatesh Babu, "CNN Fixations: An unraveling approach to visualize the discriminative image regions", IEEE Trans. Image Processing (TIP), vol. 28, No. 5, pp. 2116 - 2125, May 2019. [arXiv] [Code][Link]
• Hisham R., Rajiv S., and R. Venkatesh Babu, "Evaluating Multi-exposure Fusion using Image Information", IEEE Trans. Signal Processing Letters, vol. 24, no. 11, pp. 1671-1675, Nov, 2017.[Link]
• Srinivas S S Kruthiventi, Kumar Ayush and R. Venkatesh Babu, "DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations", IEEE Trans. Image Processing , vol. 26, no. 9, pp. 4446-4456, September, 2017. [Link]
• Sovan Biswas and R. Venkatesh Babu, "Anomaly Detection Via Short Local Trajectories", Neurocomputing , vol. 242, pp. 63-72, June 2017. [Link]
• Ravi Kiran Sarvadevabhatla, Sudharshan Suresh and R. Venkatesh Babu, "Object category understanding via eye fixations on freehand sketches", IEEE Trans. Image Processing , vol. 26, no. 5, pp. 2508-2518, May 2017. [Link]
• G. Krishna Vinay, Sk. M. Haque, R. Venkatesh Babu and K.R.Ramakrishnan, "Sparse Representation based Human Detection: A Scale Embedded Dictionary Approach", Signal, Image and Video Processing, Springer, Vol.10, Issue.3, pp.585-592, March 2016 [Paper]
  
• Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu, Srinivas Kruthiventi, Venkatesh Babu Radhakrishnan, "A Taxonomy of Deep Convolutional Neural Nets for Computer Vision", Frontiers in Robotics and AI, January 2016[Paper]
• R. Venkatesh Babu, Manu Tom and Paras Wadekar, "A Survey on Compressed Domain Video Analysis Techniques", Multimedia Tools and Applications, Volume 75, Issue 2, pp 1043-1078, January 2016. [Link]
• R. Venkatesh Babu, R. Badrinarayanan, S. Suresh and Manu Tom, "Human Action Recognition in H.264/AVC Compressed Domain using Meta-Cognitive Radial Basis Function Network", Applied Soft Computing, Elsevier, pp. 218-227, vol. 36,November 2015. [Paper]
• R. Venkatesh Babu, Priti P., and Aniruddha Acharya, "Robust Tracking with Interest Points:  A Sparse Representation Approach", Image and Vision Computing, Vol. 33, No. 1,  pp. 44-56, 2015. [DOI][Code]
• Avinash Ramakanth and R. Venkatesh Babu, "Synthetic Image Super Resolution Using FeatureMatch", Multimedia Tools and Applications, Springer, pp. 6691-6707, vol. 74, no. 17, September 2015 [Link][Code][Database]
• Sovan Biswas and R. Venkatesh Babu, "Anomaly Detection in Compressed H.264/AVC Video", Multimedia Tools and Applications, Vol. 74, no. 24, pp. 11099-11115, 2015. [Link]
• Manu Tom, R. Venkatesh Babu and Gnana Praveen, "Compressed Domain Human Action Recognition in H.264/AVC Video Streams", Multimedia Tools and Applications, Volume 74, Issue 21, pp 9323-9338, November 2015. [Link]
  
• Aniruddha Acharya, R. Venkatesh Babu and Sathish Vadhiyar, "A Real Time Implementation of SIFT on GPU",  Journal of Real-Time Image Processing   [DOI] [Code]
• Avinash Ramakanth and R. Venkatesh Babu, "FeatureMatch: A General ANNF Estimation Technique and its Applications", IEEE Trans. Image Processing, Vol. 23, No. 5, pp. 2193-2205, 2014. [DOI][Matlab code]
• Avinash Ramakanth and R. Venkatesh Babu, "Approximate Nearest Neighbour Field based Optic Disk Detection",  Computerized Medical Imaging and Graphics, Vol. 38, No. 1, pp. 49-56, 2014. [DOI][Code]
  
• R. Venkatesh Babu,  R. Savitha, S. Suresh and Bhuvanesh Agarwal, Subject Independent Human Action Recognition using Spatio-Depth Information and Meta-cognitive RBF Network, Engineering Applications of Artificial Intelligence, pp. 2010-2021, Vol. 26. No. 9, October 2013. [DOI]
  
• R. Venkatesh Babu, S. Suresh and R. Savitha, Human Action Recognition using a Fast Learning Fully Complex-valued Classifier, Neurocomputing, pp. 202-212, Vol. 89, July 2012. [DOI]
  
• R. Venkatesh Babu, S. Suresh and A. Makur, Robust Visual Tracking with Online Adaptive RBF-Networks, Computer Vision and Image Understanding, pp. 297-310, Vol. 114, No. 3, March 2010. [pdf]
• Chhabi Nigam, R. Venkatesh Babu, S. Kumar Raja and K. R. Ramakrishnan, Fragmented Particles-based Robust Object Tracking with Feature Fusion, International Journal of Image and Graphics, pp 93-112,Vol. 10, No. 1, January 2010. [link]
  
• S. Suresh, R. Venkatesh Babu and H. J. Kim, No-Reference Image Quality Assessment using Modified Extreme Learning Machine Classifier, Applied Soft Computing, pp. 541-552, Vol. 9, No. 2, March 2009. [pdf]
• Jaideep Jeyakar, R. Venkatesh Babu and K. R. Ramakrishnan, Robust Object Tracking with Background-weighted Local Kernels, Computer Vision and Image Understanding, pp. 296-309, December, 2008. [pdf]
• R. Venkatesh Babu, Andrew Perkis and Odd Inge Hillesta, Evaluation and Monitoring of Video Quality for UMA Enabled Video Streaming Systems, pp. 211-231, Multimedia Tools and Applications, April 2008. [pdf]
• R. Venkatesh Babu, Patrick Perez and Patrick Bouthemy, Robust Tracking with Motion Estimation and Local Kernel-Based Color Modeling, Image and Vision Computing,, Vol 25, No. 8, pp. 1205-1216, August  2007. [pdf]
  
• R. Venkatesh Babu and K. R. Ramakrishnan, Compressed Domain Video Retrieval using Object and Global Motion Descriptors, Multimedia Tools and Applications, Vol 32, No. 1, pp. 93-113, January 2007. [pdf]
• R. Venkatesh Babu, S. Suresh and A. Perkis, No-Reference JPEG-Image Quality Assessment using GAP-RBF, Signal Processing, Vol. 87, No. 6, pp. 1493-1503, June 2007. [pdf]
  
• R. Venkatesh Babu and K. R. Ramakrishnan, Recognition of Human Actions using Motion History Information Extracted from the Compressed Video, Image and Vision Computing, Vol 22, No. 8, pp. 597-607, August 2004. [pdf]
• R. Venkatesh Babu and K. R. Ramakrishnan, Sprite Generation from MPEG Video using Motion Information, International Journal of Image and Graphics, No. 2, Vol. 4, pp. 263-280, April 2004. [link]
  
• R. Venkatesh Babu, K. R. Ramakrishnan and S. H. Srinivasan, Video Object Segmentation: A Compressed Domain Approach, IEEE Transactions on Circuits and Systems for Video Technology, Vol.14, No. 4, pp. 462-474, April 2004. [pdf]
• R. Venkatesh Babu, B. Anantharaman, K. R. Ramakrishnan and S. H. Srinivasan, Compressed domain action classification using HMM, Pattern Recognition Letters, vol. 23, no. 10, pp. 1203-1213, August, 2002. [pdf]