PPaperPicks

Vineeth N. Balasubramanian

Indian Institute of Technology, Hyderabad, Department of Computer Science and Engineering

24 papers at tracked venues · 16 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Chain-of-Thought Degrades Visual Spatial Reasoning Capabilities of Multimodal LLMs
  2. Grounding Descriptions in Images informs Zero-Shot Visual Recognition
  3. LogicCBMs: Logic-Enhanced Concept-Based Learning
  4. Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs
  5. A Unified Latent Schrodinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization
  6. Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
  7. DashGaze: Driver Gaze Through Dashcam
  8. Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
  9. Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models
  10. Pose-to-Pose: A New Task and Benchmark for Human Pose Transition in Yoga
  11. PoseGuru: Landmarks for Explainable Pose Correction using Exemplar-Guided Algorithmic Recourse
  12. Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance
  13. Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities
  14. Teaching Transformers Causal Reasoning through Axiomatic Training
  15. Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
  16. Active Transferability Estimation
  17. C2FDrone: Coarse-to-Fine Drone-to-Drone Detection using Vision Transformer Networks
  18. Can Reasons Help Improve Pedestrian Intent Estimation? A Cross-Modal Approach
  19. Detecting and Measuring Confounding Using Causal Mechanism Shifts
  20. Improving Unsupervised Domain Adaptation: A Pseudo-candidate Set Approach
  21. NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
  22. POET: Prompt Offset Tuning for Continual Human Action Adaptation
  23. Rethinking Robustness of Model Attributions
  24. Towards Learning and Explaining Indirect Causal Effects in Neural Networks