Vineeth N Balasubramanian

LogicCBMs: Logic-Enhanced Concept-Based Learning WACV 2026 A Unified Latent Schrodinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization CVPR 2025 Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance CVPR 2025 Detecting and Measuring Confounding Using Causal Mechanism Shifts NeurIPS 2024 Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach ECCV 2024 NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation AAAI 2024 POET: Prompt Offset Tuning for Continual Human Action Adaptation ECCV 2024 Rethinking Robustness of Model Attributions AAAI 2024 Towards Learning and Explaining Indirect Causal Effects in Neural Networks AAAI 2024 Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach ICCV 2023 Data-Free Class-Incremental Hand Gesture Recognition ICCV 2023 MADG: Margin-based Adversarial Learning for Domain Generalization NeurIPS 2023 Mitigating the Effect of Incidental Correlations on Part-based Learning NeurIPS 2023 A Framework for Learning Ante-Hoc Explainable Models via Concepts CVPR 2022 Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer ECCV 2022 COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains WACV 2022 Distilling the Undistillable: Learning from a Nasty Teacher ECCV 2022 Energy-Based Latent Aligner for Incremental Learning CVPR 2022 Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals WACV 2022 FLUID: Few-Shot Self-Supervised Image Deraining WACV 2022 Learning Modular Structures That Generalize Out-of-Distribution (Student Abstract) AAAI 2022 Leveraging Test-Time Consensus Prediction for Robustness Against Unseen Noise WACV 2022 Matching Learned Causal Effects of Neural Networks with Domain Priors ICML 2022 Multi-Domain Incremental Learning for Semantic Segmentation WACV 2022 Novel Class Discovery without Forgetting ECCV 2022 On Causally Disentangled Representations AAAI 2022 Proto2Proto: Can You Recognize the Car, the Way I Do? CVPR 2022 To Miss-Attend Is to Misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors WACV 2022 Unseen Classes at a Later Time? No Problem CVPR 2022 A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization AAAI 2021 Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach NeurIPS 2021 Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks NeurIPS 2021 Enhanced Regularizers for Attributional Robustness AAAI 2021 Towards Open World Object Detection CVPR 2021 Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-Shot Learning WACV 2021 A Little Fog for a Large Turn WACV 2020 A Multi-Space Approach to Zero-Shot Object Detection WACV 2020 Attributional Robustness Training using Input-Gradient Spatial Alignment ECCV 2020 Charting the Right Manifold: Manifold Mixup for Few-shot Learning WACV 2020 Meta-Consolidation for Continual Learning NeurIPS 2020 Munich to Dubai: How far is it for Semantic Segmentation? WACV 2020 Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models IJCAI 2019 Neural Network Attributions: A Causal Perspective ICML 2019 Submodular Batch Selection for Training Deep Neural Networks IJCAI 2019 Zero-Shot Task Transfer CVPR 2019 Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models ACML 2015