collaborators

9 papers

cs.CV2026

Does it matter which Gaussians you pick in 4D Gaussian streaming?

Ashim Dahal, Rabab Abdelfattah, Nick Rahimi

Anchor-driven 4D Gaussian streaming methods such as Instant Gaussian Stream (IGS) update a dynamic scene each frame from a compact set of Gaussian anchors, chosen by default with F…

cs.CV2026

POVQA: Preference-Optimized Video Question Answering with Rationales for Data Efficiency

Ashim Dahal, Ankit Ghimire, Saydul Akbar Murad +1

Long-video multimodal question answering requires structured reasoning over visual evidence and dialogue, but Large Vision-Language Models (LVLMs) are constrained by context-window…

cs.CL2025

EEG-to-Text Translation: A Model for Deciphering Human Brain Activity

Saydul Akbar Murad, Ashim Dahal, Nick Rahimi

With the rapid advancement of large language models like Gemini, GPT, and others, bridging the gap between the human brain and language processing has become an important area of f…

cs.CV2025

Redemption Score: A Multi-Modal Evaluation Framework for Image Captioning via Distributional, Perceptual, and Linguistic Signal Triangulation

Ashim Dahal, Ankit Ghimire, Saydul Akbar Murad +1

Evaluating image captions requires cohesive assessment of both visual semantics and language pragmatics, which is often not entirely captured by most metrics. We introduce Redempti…

cs.CV2025

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification

Ashim Dahal, Saydul Akbar Murad, Nick Rahimi

Algorithmic level developments like Convolutional Neural Networks, transformers, attention mechanism, Retrieval Augmented Generation and so on have changed Artificial Intelligence.…

cs.CV2025

Embedding Shift Dissection on CLIP: Effects of Augmentations on VLM's Representation Learning

Ashim Dahal, Saydul Akbar Murad, Nick Rahimi

Understanding the representation shift on Vision Language Models like CLIP under different augmentations provides valuable insights on Mechanistic Interpretability. In this study,…