Perceptual cGAN for MRI Super-resolution. - Sahar Almahfouz Nasser; Saqib Shamsi; Valay Bundele; Bhavesh Garg; Amit Sethi (EMBC, 2022)

Few-Shot Open-Set Recognition of Hyperspectral Images with Outlier Calibration Network. - Debabrata Pal; Valay Bundele; Renuka Sharma; Biplab Banerjee; Yogananda V. Jeppu (WACV, 2022)

SPN: Stable Prototypical Network for Few-Shot Learning-Based Hyperspectral Image Classification. - Debabrata Pal; Valay Bundele; Biplab Banerjee; Yogananda V. Jeppu (IEEE Geosci. Remote. Sens. Lett., 2022)

Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization. - Prathmesh Bele; Valay Bundele; Avigyan Bhattacharya; Ankit Jha; Gemma Roig; Biplab Banerjee (WACV, 2024)

Evaluating Self-Supervised Learning in Medical Imaging: A Benchmark for Robustness, Generalizability, and Multi-Domain Impact. - Valay Bundele; Oguz Ata Çal; Bora Kargi; Karahan Saritas; Kivanç Tezören; Zohreh Ghaderi; Hendrik P. A. Lensch (CoRR, 2024)

Scaling Vision-and-Language Navigation With Offline RL. - Valay Bundele; Mahesh Bhupati; Biplab Banerjee; Aditya Grover (Trans. Mach. Learn. Res., 2024)

You Are Your Best Teacher: Semi-Supervised Surgical Point Tracking with Cycle-Consistent Self-Distillation. - Valay Bundele; Mehran Hosseinzadeh; Hendrik P. A. Lensch (CoRR, 2025)

HistDiST: Histopathological Diffusion-based Stain Transfer. - Erik Großkopf; Valay Bundele; Mehran Hossienzadeh; Hendrik P. A. Lensch (CoRR, 2025)