Vineeth N. Balasubramanian

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 165

Top Venues

Publications

Tanmay Garg, Deepika Vemuri, Vineeth N. Balasubramanian
Advancing Ante-Hoc Explainable Models through Generative Adversarial Networks. CoRR (2024)
Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Gaurav Sinha
Interpretable Model Drift Detection. COMAD/CODS (2024)
Gaurav Bhatt, Vineeth N. Balasubramanian
Learning Style Subspaces for Controllable Unpaired Domain Translation. WACV (2023)
Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian
Mitigating the Effect of Incidental Correlations on Part-based Learning. CoRR (2023)
Surgan Jandial, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy, Vineeth N. Balasubramanian
RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student Learning. COMAD/CODS (2023)
Chaitanya Devaguptapu, Samarth Sinha, K. J. Joseph, Vineeth N. Balasubramanian, Animesh Garg
Δ-Networks for Efficient Model Patching. CoRR (2023)
Aveen Dayal, Vimal K. B., Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian
MADG: Margin-based Adversarial Learning for Domain Generalization. CoRR (2023)
Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian
Mitigating the Effect of Incidental Correlations on Part-based Learning. NeurIPS (2023)
Tarun Ram Menta, Surgan Jandial, Akash Patil, Vimal KB, Saketh Bachu, Balaji Krishnamurthy, Vineeth N. Balasubramanian, Chirag Agarwal, Mausoom Sarkar
Towards Estimating Transferability using Hard Subsets. CoRR (2023)
Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak, Benin L. Godfrey, Vineeth N. Balasubramanian, Varshaneya V, Satya Narayanan Kar
Learning Causal Attributions in Neural Networks: Beyond Direct Effects. CoRR (2023)
Aveen Dayal, Vimal K. B., Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian
MADG: Margin-based Adversarial Learning for Domain Generalization. NeurIPS (2023)
Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N. Balasubramanian, Amit Sharma
Causal Inference Using LLM-Guided Discovery. CoRR (2023)
Rebbapragada V. C. Sairam, Monish Keswani, Uttaran Sinha, Nishit Shah, Vineeth N. Balasubramanian
ARUBA: An Architecture-Agnostic Balanced Loss for Aerial Object Detection. WACV (2023)
Sandesh Kamath, Sankalp Mittal, Amit Deshpande, Vineeth N. Balasubramanian
Rethinking Robustness of Model Attributions. CoRR (2023)
Vimal KB, Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N. Balasubramanian
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach. CoRR (2023)
Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N. Balasubramanian
Weakly-supervised Spatially Grounded Concept Learner for Few-Shot Learning. BMVC (2023)
Vimal K. B., Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N. Balasubramanian
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach. ICCV (2023)
Thrupthi Ann John, Vineeth N. Balasubramanian, C. V. Jawahar
Explaining Deep Face Algorithms through Visualization: A Survey. CoRR (2023)
Abbavaram Gowtham Reddy, Saketh Bachu, Saloni Dash, Charchit Sharma, Amit Sharma, Vineeth N. Balasubramanian
Rethinking Counterfactual Data Augmentation Under Confounding. CoRR (2023)
Shubhra Aich, Jesús Ruiz-Santaquiteria, Zhenyu Lu, Prachi Garg, K. J. Joseph, Alvaro Fernandez Garcia, Vineeth N. Balasubramanian, Kenrick Kin, Chengde Wan, Necati Cihan Camgöz, Shugao Ma, Fernando De la Torre
Data-Free Class-Incremental Hand Gesture Recognition. ICCV (2023)
Arjun Ashok, K. J. Joseph, Vineeth N. Balasubramanian
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer. ECCV (27) (2022)
Sandesh Kamath, Amit Deshpande, K. V. Subrahmanyam, Vineeth N. Balasubramanian
Universalization of Any Adversarial Attack using Very Few Test Examples. COMAD/CODS (2022)
Hari Chandana Kuchibhotla, Sumitra S. Malagi, Shivam Chandhok, Vineeth N. Balasubramanian
Unseen Classes at a Later Time? No Problem. CoRR (2022)
Hari Chandana Kuchibhotla, Sumitra S. Malagi, Shivam Chandhok, Vineeth N. Balasubramanian
Unseen Classes at a Later Time? No Problem. CVPR (2022)
Thrupthi Ann John, Isha Dua, Vineeth N. Balasubramanian, C. V. Jawahar
ETL: Efficient Transfer Learning for Face Tasks. VISIGRAPP (5: VISAPP) (2022)
Saloni Dash, Vineeth N. Balasubramanian, Amit Sharma
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals. WACV (2022)
Rebbapragada V. C. Sairam, Monish Keswani, Uttaran Sinha, Nishit Shah, Vineeth N. Balasubramanian
ARUBA: An Architecture-Agnostic Balanced Loss for Aerial Object Detection. CoRR (2022)
Arjun Ashok, Chaitanya Devaguptapu, Vineeth N. Balasubramanian
Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract). AAAI (2022)
K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N. Balasubramanian
Energy-based Latent Aligner for Incremental Learning. CoRR (2022)
Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian, Amit Sharma
Matching Learned Causal Effects of Neural Networks with Domain Priors. ICML (2022)
Monish Keswani, Sriranjani Ramakrishnan, Nishant Reddy, Vineeth N. Balasubramanian
Proto2Proto: Can you recognize the car, the way I do? CoRR (2022)
Puneet Mangla, Shivam Chandhok, Milan Aggarwal, Vineeth N. Balasubramanian, Balaji Krishnamurthy
INDIGO: Intrinsic Multimodality for Domain Generalization. CoRR (2022)
Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy
Distilling the Undistillable: Learning from a Nasty Teacher. ECCV (13) (2022)
Shyam Nandan Rai, Rohit Saluja, Chetan Arora, Vineeth N. Balasubramanian, Anbumani Subramanian, C. V. Jawahar
FLUID: Few-Shot Self-Supervised Image Deraining. WACV (2022)
Abbavaram Gowtham Reddy, Saloni Dash, Amit Sharma, Vineeth N. Balasubramanian
Counterfactual Generation Under Confounding. CoRR (2022)
Prachi Garg, Rohit Saluja, Vineeth N. Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar
Multi-Domain Incremental Learning for Semantic Segmentation. WACV (2022)
K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N. Balasubramanian
Energy-based Latent Aligner for Incremental Learning. CVPR (2022)
Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N. Balasubramanian, Balaji Krishnamurthy
Distilling the Undistillable: Learning from a Nasty Teacher. CoRR (2022)
K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
Spacing Loss for Discovering Novel Categories. CoRR (2022)
K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian
Incremental Object Detection via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Vaishnavi Khindkar, Chetan Arora, Vineeth N. Balasubramanian, Anbumani Subramanian, Rohit Saluja, C. V. Jawahar
To miss-attend is to misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors. WACV (2022)
Abbavaram Gowtham Reddy, Vineeth N. Balasubramanian
Estimating Treatment Effects using Neurosymbolic Program Synthesis. CoRR (2022)
Bhat Dittakavi, Divyagna Bavikadi, Sai Vikas Desai, Soumi Chakraborty, Nishant Reddy, Vineeth N. Balasubramanian, Bharathi Callepalli, Ayon Sharma
Pose Tutor: An Explainable System for Pose Correction in the Wild. CVPR Workshops (2022)
K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
Novel Class Discovery Without Forgetting. ECCV (24) (2022)
Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N. Balasubramanian
On Causally Disentangled Representations. AAAI (2022)
Piyushi Manupriya, Tarun Ram Menta, Sakethanath Nath Jagarlapudi, Vineeth N. Balasubramanian
Improving Attribution Methods by Learning Submodular Functions. AISTATS (2022)
Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
Data InStance Prior (DISP) in Generative Adversarial Networks. WACV (2022)
Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian
A Framework for Learning Ante-hoc Explainable Models via Concepts. CVPR (2022)
Amlan Jyoti, Karthik Balaji Ganesh, Manoj Gayala, Nandita Lakshmi Tunuguntla, Sandesh Kamath, Vineeth N. Balasubramanian
On the Robustness of Explanations of Deep Neural Network Models: A Survey. CoRR (2022)
K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
Novel Class Discovery without Forgetting. CoRR (2022)
Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
Leveraging Test-Time Consensus Prediction for Robustness against Unseen Noise. WACV (2022)
K. J. Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N. Balasubramanian
Spacing Loss for Discovering Novel Categories. CVPR Workshops (2022)
Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan
COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. WACV (2022)
Monish Keswani, Sriranjani Ramakrishnan, Nishant Reddy, Vineeth N. Balasubramanian
Proto2Proto: Can you recognize the car, the way I do? CVPR (2022)
Vedant Singh, Surgan Jandial, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models. CoRR (2022)
Deepak Kumar Singh, Shyam Nandan Rai, K. J. Joseph, Rohit Saluja, Vineeth N. Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar
New Objects on the Road? No Problem, We'll Learn Them Too. IROS (2022)
Vineeth N. Balasubramanian
Toward explainable deep learning. Commun. ACM 65 (11) (2022)
Vaasudev Narayanan, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian
On Challenges in Unsupervised Domain Generalization. Pre-Registration Workshop @ NeurIPS (2021)
Radhika Dua, Sai Srinivas Kancheti, Vineeth N. Balasubramanian
Beyond VQA: Generating Multi-Word Answers and Rationales to Visual Questions. CVPR Workshops (2021)
Rahul Vigneswaran, Marc T. Law, Vineeth N. Balasubramanian, Makarand Tapaswi
Feature generation for long-tail classification. ICVGIP (2021)
Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N. Balasubramanian
On Adversarial Robustness: A Neural Architecture Search perspective. ICCVW (2021)
Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian
Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach. CoRR (2021)
Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian
Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach. NeurIPS (2021)
Thrupthi Ann John, Vineeth N. Balasubramanian, C. V. Jawahar
Canonical Saliency Maps: Decoding Deep Face Models. CoRR (2021)
Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
Enhanced Regularizers for Attributional Robustness. AAAI (2021)
K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian
Towards Open World Object Detection. CVPR (2021)
Abbavaram Gowtham Reddy, Benin Godfrey L, Vineeth N. Balasubramanian
On Causally Disentangled Representations. CoRR (2021)
Puneet Mangla, Shivam Chandhok, Vineeth N. Balasubramanian, Fahad Shahbaz Khan
Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains. CoRR (2021)
Piyushi Manupriya, Saketha Nath Jagarlapudi, Tarun Ram Menta, Vineeth N. Balasubramanian
Improving Attribution Methods by Learning Submodular Functions. CoRR (2021)
Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. CoRR (2021)
Thrupthi Ann John, Vineeth N. Balasubramanian, C. V. Jawahar
Canonical Saliency Maps: Decoding Deep Face Models. IEEE Trans. Biom. Behav. Identity Sci. 3 (4) (2021)
Rahul Vigneswaran, Marc T. Law, Vineeth N. Balasubramanian, Makarand Tapaswi
Feature Generation for Long-tail Classification. CoRR (2021)
Shivam Chandhok, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Vineeth N. Balasubramanian, Fahad Shahbaz Khan, Ling Shao
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains. BMVC (2021)
Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N. Balasubramanian
Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach. CoRR (2021)
Abbavaram Gowtham Reddy, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Amit Sharma
Causal Regularization Using Domain Priors. CoRR (2021)
Sandesh Kamath, Amit Deshpande, Subrahmanyam Kambhampati Venkata, Vineeth N. Balasubramanian
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks. NeurIPS (2021)
Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian
Instance-Wise Causal Feature Selection for Model Interpretation. CVPR Workshops (2021)
Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian
Instance-wise Causal Feature Selection for Model Interpretation. CoRR (2021)
Gaurav Bhatt, Shivam Chandhok, Vineeth N. Balasubramanian
Learn from Anywhere: Rethinking Generalized Zero-Shot Learning with Limited Supervision. CoRR (2021)
Shivam Chandhok, Vineeth N. Balasubramanian
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning. WACV (2021)
Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N. Balasubramanian
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization. AAAI (2021)
Prachi Garg, Rohit Saluja, Vineeth N. Balasubramanian, Chetan Arora, Anbumani Subramanian, C. V. Jawahar
Multi-Domain Incremental Learning for Semantic Segmentation. CoRR (2021)
K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian
Towards Open World Object Detection. CoRR (2021)
Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian
Enhanced Regularizers for Attributional Robustness. CoRR (2020)
Shivam Chandhok, Vineeth N. Balasubramanian
Enhancing Generalized Zero-Shot Learning via Adversarial Visual-Semantic Interaction. CoRR (2020)
Aditya Bharti, Vineeth N. Balasubramanian, C. V. Jawahar
Few Shot Learning With No Labels. CoRR (2020)
Sandeep Inuganti, Vineeth N. Balasubramanian
Assisting Scene Graph Generation with Self-Supervision. CoRR (2020)
Dikshant Gupta, Aditya Anantharaman, Nehal Mamgain, Sowmya Kamath S., Vineeth N. Balasubramanian, C. V. Jawahar
A Multi-Space Approach to Zero-Shot Object Detection. WACV (2020)
Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian
Zero-Shot Domain Generalization. BMVC (2020)
Puneet Mangla, Vedant Singh, Shreyas Jayant Havaldar, Vineeth N. Balasubramanian
VarMixup: Exploiting the Latent Space for Robust Training and Inference. CoRR (2020)
Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N. Balasubramanian
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization. CoRR (2020)
Sakshi Varshney, P. K. Srijith, Vineeth N. Balasubramanian
STM-GAN: Sequentially Trained Multiple Generators for Mitigating Mode Collapse. ICONIP (5) (2020)
Harshitha Machiraju, Vineeth N. Balasubramanian
A Little Fog for a Large Turn. CoRR (2020)
Harshitha Machiraju, Vineeth N. Balasubramanian
A Little Fog for a Large Turn. WACV (2020)
Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy
Charting the Right Manifold: Manifold Mixup for Few-shot Learning. WACV (2020)
Shyam Nandan Rai, Vineeth N. Balasubramanian, Anbumani Subramanian, C. V. Jawahar
Munich to Dubai: How far is it for Semantic Segmentationƒ. WACV (2020)
Sai Vikas Desai, Vineeth N. Balasubramanian
Towards Fine-grained Sampling for Active Learning in Object Detection. CVPR Workshops (2020)
Puneet Mangla, Vedant Singh, Vineeth N. Balasubramanian
On Saliency Maps and Adversarial Robustness. CoRR (2020)
Udit Maniyar, K. J. Joseph, Aniket Anand Deshmukh, Ürün Dogan, Vineeth N. Balasubramanian
Zero Shot Domain Generalization. CoRR (2020)
Vaibhav B. Sinha, Sneha Kudugunta, Adepu Ravi Sankar, Surya Teja Chavali, Vineeth N. Balasubramanian
DANTE: Deep alternations for training neural networks. Neural Networks 131 (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vineeth N. Balasubramanian