| | | | | |
| Activity-Based Early Autism Diagnosis Using a Multi-Dataset Supervised Contrastive Learning Approach | Asha Rani, Yashaswi Verma | Indian Institute of Technology Jodhpur | WACV | autism spectrum disorder research | link |
| Adaptive Annealing for Robust Averaging | Sidhartha Chitturi, Venu Madhav Govindu | Indian Institute of Science Bangalore | ECCV | remote sensing and lidar applications | link |
| Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation | Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Y M Pradyumna, Akshay Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu | Indian Institute of Science Bangalore | WACV | domain adaptation and few-shot learning | link |
| AMEND: Adaptive Margin and Expanded Neighborhood for Efficient Generalized Category Discovery | Anwesha Banerjee, Liyana Sahir Kallooriyakath, Soma Biswas | Indian Institute of Science Bangalore | WACV | text and document classification technologies | link |
| Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble Based Sample Selection | Akshit Jindal, Vikram Goyal, Saket Anand, Chetan Arora | Indraprastha Institute of Information Technology Delhi, Indian Institute of Technology Delhi | WACV | adversarial robustness in machine learning | link |
| Balancing Act: Distribution-Guided Debiasing in Diffusion Models | Rishubh Parihar, Abhijnya Bhat, Abhipsa Basu, Saswat Mallick, Jogendra Nath Kundu, R. Venkatesh Babu | Indian Institute of Science Bangalore, META Health | CVPR | modeling, simulation, and optimization | link |
