38 citations · 65 across the 15 of their papers we have counts for
18 papers
Foveated Probes Recover Localized Binding Information in Vision Foundation Models
Mateusz Michalkiewicz, Mahsa Baktashmotlagh, Guha Balakrishnan
Frozen vision foundation models are commonly evaluated through a single global image embedding, but this interface can conflate missing information with information lost at readout…
T5-CSBoost: Adversarial Perturbation Resistant LLM Fingerprinting
Gayan K. Kulatilleke, Mahsa Baktashmotlagh, Siamak Layeghy +1
While many AI-generated text (AIGT) detectors achieve strong performance on clean inputs, their accuracy degrades significantly under light paraphrasing, word substitutions, charac…
Beyond Instance-Level Self-Supervision in 3D Multi-Modal Medical Imaging
Tan Pan, Shuhao Mei, Yixuan Sun +8
Self-supervised pre-training methods in medical imaging typically treat each individual as an isolated instance, learning representations through augmentation-based objectives or m…
WisWheat: A Three-Tiered Vision-Language Dataset for Wheat Management
Bowen Yuan, Selena Song, Javier Fernandez +3
Wheat management strategies play a critical role in determining yield. Traditional management decisions often rely on labour-intensive expert inspections, which are expensive, subj…
Source-Free Domain-Invariant Performance Prediction
Ekaterina Khramtsova, Mahsa Baktashmotlagh, Guido Zuccon +2
Accurately estimating model performance poses a significant challenge, particularly in scenarios where the source and target domains follow different data distributions. Most exist…
Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection
Ekaterina Khramtsova, Teerapong Leelanupab, Shengyao Zhuang +2
In this demo we present a web-based application for selecting an effective pre-trained dense retriever to use on a private collection. Our system, DenseQuest, provides unsupervised…