Radhakrishnan, Venkatesh Babu

30 publications

ICLR 2026 GeoDiv: Framework for Measuring Geographical Diversity in Text-to-Image Models Abhipsa Basu, Mohana Singh, Shashank Agnihotri, Margret Keuper, Venkatesh Babu Radhakrishnan

TMLR 2026 Interpreting Kolmogorov-Arnold Networks in Neuroimaging: A Path-Based Attribution Framework Suhrud Murthy, Venkatesh Babu Radhakrishnan, Neelam Sinha

WACV 2025 Attribute Diffusion: Diffusion Driven Diverse Attribute Editing Rishubh Parihar, Prasanna Balaji, Raghav Magazine, Sarthak Vora, Varun Jampani, Venkatesh Babu Radhakrishnan

WACV 2025 ChromaDistill : Colorizing Monochrome Radiance Fields with Knowledge Distillation Ankit Dhiman, Srinath R, Srinjay Sarkar, Lokesh Boregowda, Venkatesh Babu Radhakrishnan

CVPR 2025 Compass Control: Multi Object Orientation Control for Text-to-Image Generation Rishubh Parihar, Vaibhav Agrawal, Sachidanand Vs, Venkatesh Babu Radhakrishnan

TMLR 2025 Concept Siever : Towards Controllable Erasure of Concepts from Diffusion Models Without Side-Effect Aakash Kumar Singh, Priyam Dey, Sribhav Srivatsa, Venkatesh Babu Radhakrishnan

ICML 2025 Discovering a Zero (Zero-Vector Class of Machine Learning) Harikrishna Metta, Venkatesh Babu Radhakrishnan

ECCV 2024 PreciseControl: Enhancing Text-to-Image Diffusion Models with Fine-Grained Attribute Control Rishubh Parihar, Sachidanand Vs, Sabariswaran Mani, Tejan Karmali, Venkatesh Babu Radhakrishnan

TMLR 2024 ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations Sravanti Addepalli, Priyam Dey, Venkatesh Babu Radhakrishnan

ICMLW 2024 ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations Sravanti Addepalli, Priyam Dey, Venkatesh Babu Radhakrishnan

ICLR 2024 Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan

ECCV 2024 Text2Place: Affordance-Aware Text Guided Human Placement Rishubh Parihar, Harsh Gupta, Sachidanand Vs, Venkatesh Babu Radhakrishnan

ICLR 2023 Feature Reconstruction from Outputs Can Mitigate Simplicity Bias in Neural Networks Sravanti Addepalli, Anshul Nasery, Venkatesh Babu Radhakrishnan, Praneeth Netrapalli, Prateek Jain

ICMLW 2023 SelMix: Selective Mixup Fine Tuning for Optimizing Non-Decomposable Metrics Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan

ICML 2022 A Closer Look at Smoothness in Domain Adversarial Training Harsh Rangwani, Sumukh K Aithal, Mayank Mishra, Arihant Jain, Venkatesh Babu Radhakrishnan

AAAI 2022 Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Varun Jampani, Venkatesh Babu Radhakrishnan

ICML 2022 Balancing Discriminability and Transferability for Source-Free Domain Adaptation Jogendra Nath Kundu, Akshay R Kulkarni, Suvaansh Bhambri, Deepesh Mehta, Shreyas Anand Kulkarni, Varun Jampani, Venkatesh Babu Radhakrishnan

AAAI 2022 Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan

NeurIPSW 2022 Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks Sravanti Addepalli, Anshul Nasery, Praneeth Netrapalli, Venkatesh Babu Radhakrishnan, Prateek Jain

ICMLW 2021 Towards Achieving Adversarial Robustness Beyond Perceptual Limits Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, Shivangi Khare, Venkatesh Babu Radhakrishnan

WACV 2020 Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions Jogendra Nath Kundu, Himanshu Buckchash, Priyanka Mandikal, M V Rahul, Anirudh Jamkhandi, Venkatesh Babu Radhakrishnan

AAAI 2020 DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan

WACV 2020 Going Beyond the Regression Paradigm with Accurate Dot Prediction for Dense Crowds Deepak Babu Sam, Skand Peri, Mukuntha Narayanan Sundararaman, Venkatesh Babu Radhakrishnan

AAAI 2020 Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, Venkatesh Babu Radhakrishnan, Anirban Chakraborty

WACV 2020 Text-Based Person Search via Attribute-Aided Matching Surbhi Aggarwal, Venkatesh Babu Radhakrishnan, Anirban Chakraborty

WACV 2020 Unsupervised Cross-Dataset Adaptation via Probabilistic Amodal 3D Human Pose Completion Jogendra Nath Kundu, M V Rahul, Jay Patravali, Venkatesh Babu Radhakrishnan

WACV 2020 VRT-Net: Real-Time Scene Parsing via Variable Resolution Transform Jogendra Nath Kundu, Gaurav Singh Rajput, Venkatesh Babu Radhakrishnan

WACV 2019 Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network Priyanka Mandikal, Venkatesh Babu Radhakrishnan

WACV 2019 Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding Manifold Jogendra Nath Kundu, Maharshi Gor, Phani Krishna Uppala, Venkatesh Babu Radhakrishnan

ICML 2019 Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty