Venkatesh Babu Radhakrishnan

35 papers A* 16A 6Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Harnessing Diffusion-Generated Synthetic Images for Fair Image Classification. AAAI Abhipsa Basu, Aviral Gupta, Abhijnya Bhat, Venkatesh Babu Radhakrishnan
2026	J	`jnl`	Interpreting Kolmogorov-Arnold Networks in Neuroimaging: A Path-Based Attribution Framework. Trans. Mach. Learn. Res. Suhrud Murthy, Venkatesh Babu Radhakrishnan, Neelam Sinha
2026	A*	`conf`	UniC-Lift: Unified 3D Instance Segmentation via Contrastive Learning. AAAI Ankit Dhiman, R. Srinath, Jaswanth Reddy, Lokesh R. Boregowda, Venkatesh Babu Radhakrishnan
2025	J	`jnl`	A Granular Study of Safety Pretraining under Model Abliteration. CoRR Shashank Agnihotri, Jonas Jakubassa, Priyam Dey, Sachin Goyal, Bernt Schiele, Venkatesh Babu Radhakrishnan, Margret Keuper
2025	A*	`conf`	Compass Control: Multi Object Orientation Control for Text-to-Image Generation. CVPR Rishubh Parihar, Vaibhav Agrawal, Sachidanand VS, Venkatesh Babu Radhakrishnan
2025	J	`jnl`	Concept Siever : Towards Controllable Erasure of Concepts from Diffusion Models without Side-effect. Trans. Mach. Learn. Res. Aakash Kumar Singh, Priyam Dey, Sribhav Srivatsa, Venkatesh Babu Radhakrishnan
2025	A*	`conf`	Discovering a Zero (Zero-Vector Class of Machine Learning). ICML Harikrishna Metta, Venkatesh Babu Radhakrishnan
2025	J	`jnl`	Objects in Generated Videos Are Slower Than They Appear: Models Suffer Sub-Earth Gravity and Don't Know Galileo's Principle...for now. CoRR Varun Varma Thozhiyoor, Shivam Tripathi, Venkatesh Babu Radhakrishnan, Anand Bhattad
2025	J	`jnl`	UniC-Lift: Unified 3D Instance Segmentation via Contrastive Learning. CoRR Ankit Dhiman, R. Srinath, Jaswanth Reddy, Lokesh R. Boregowda, Venkatesh Babu Radhakrishnan
2024	J	`jnl`	ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations. Trans. Mach. Learn. Res. Sravanti Addepalli, Priyam Dey, Venkatesh Babu Radhakrishnan
2024	A*	`conf`	Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. ICLR Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
2024	J	`jnl`	Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives. CoRR Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
2023	J	`jnl`	Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics. CoRR Harsh Rangwani, Shrinivas Ramasubramanian, Sho Takemori, Kato Takashi, Yuhei Umeda, Venkatesh Babu Radhakrishnan
2023	A*	`conf`	Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks. ICLR Sravanti Addepalli, Anshul Nasery, Venkatesh Babu Radhakrishnan, Praneeth Netrapalli, Prateek Jain
2022	A*	`conf`	A Closer Look at Smoothness in Domain Adversarial Training. ICML Harsh Rangwani, Sumukh K. Aithal, Mayank Mishra, Arihant Jain, Venkatesh Babu Radhakrishnan
2022	A*	`conf`	Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. AAAI Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Varun Jampani, Venkatesh Babu Radhakrishnan
2022	A*	`conf`	Balancing Discriminability and Transferability for Source-Free Domain Adaptation. ICML Jogendra Nath Kundu, Akshay R. Kulkarni, Suvaansh Bhambri, Deepesh Mehta, Shreyas Anand Kulkarni, Varun Jampani, Venkatesh Babu Radhakrishnan
2022	A*	`conf`	Beyond Learning Features: Training a Fully-Functional Classifier with ZERO Instance-Level Labels. AAAI Deepak Babu Sam, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan
2022	—	`conf`	Dense or Sparse: Crowd Counting with Binary Supervision. ICVGIP Deepak Babu Sam, Jimmy Joseph, Abhinav Agarwalla, Venkatesh Babu Radhakrishnan
2021	A	`conf`	Few-Shot Domain Adaptation for Low Light RAW Image Enhancement. BMVC K. Ram Prabhakar, Vishal Vinod, Nihar R. Sahoo, Venkatesh Babu Radhakrishnan
2020	A*	`conf`	DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier. AAAI Sravanti Addepalli, Gaurav Kumar Nayak, Anirban Chakraborty, Venkatesh Babu Radhakrishnan
2020	A*	`conf`	Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation. AAAI Jogendra Nath Kundu, Siddharth Seth, Rahul M. V., Mugalodi Rakesh, Venkatesh Babu Radhakrishnan, Anirban Chakraborty
2020	A	`conf`	WAMDA: Weighted Alignment of Sources for Multi-source Domain Adaptation. BMVC Surbhi Aggarwal, Jogendra Nath Kundu, Venkatesh Babu Radhakrishnan, Anirban Chakraborty
2019	A	`conf`	Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network. WACV Priyanka Mandikal, Venkatesh Babu Radhakrishnan
2019	A*	`conf`	FDA: Feature Disruptive Attack. ICCV Aditya Ganeshan, Vivek B. S., Venkatesh Babu Radhakrishnan
2019	A*	`conf`	GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions. ICCV Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, Venkatesh Babu Radhakrishnan
2019	A*	`conf`	UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation. ICCV Jogendra Nath Kundu, Nishank Lakkakula, Venkatesh Babu Radhakrishnan
2019	A	`conf`	Unsupervised Feature Learning of Human Actions As Trajectories in Pose Embedding Manifold. WACV Jogendra Nath Kundu, Maharshi Gor, Phani Krishna Uppala, Venkatesh Babu Radhakrishnan
2019	A*	`conf`	Zero-Shot Knowledge Distillation in Deep Networks. ICML Gaurav Kumar Nayak, Konda Reddy Mopuri, Vaisakh Shaj, Venkatesh Babu Radhakrishnan, Anirban Chakraborty
2018	A	`conf`	3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image. BMVC Priyanka Mandikal, Navaneet K. L., Mayank Agarwal, Venkatesh Babu Radhakrishnan
2018	J	`jnl`	Game of Sketches: Deep Recurrent Models of Pictionary-style Word Guessing. CoRR Ravi Kiran Sarvadevabhatla, Shiv Surya, Trisha Mittal, Venkatesh Babu Radhakrishnan
2017	J	`jnl`	DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. CoRR Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, Venkatesh Babu Radhakrishnan
2017	A	`conf`	Fast Feature Fool: A data independent approach to universal adversarial perturbations. BMVC Konda Reddy Mopuri, Utsav Garg, Venkatesh Babu Radhakrishnan
2014	—	`conf`	Action recognition from motion capture data using Meta-Cognitive RBF Network classifier. ISSNIP Suraj Vantigodi, Venkatesh Babu Radhakrishnan
2014	—	`conf`	Human action recognition in compressed domain using PBL-McRBFN approach. ISSNIP Badrinarayanan Rangarajan, Venkatesh Babu Radhakrishnan