activity
20162026
most citedWhat to Hide from Your Students: Attention-Guided Masked Image Modeling

100 citations · 188 across the 40 of their papers we have counts for

collaborators

51 papers

cs.CV2026

Benchmarking Composed Image Retrieval for Applied Earth Observation

Bill Psomas, Dionysis Christopoulos, Thanasis Petropoulos +6

Remote sensing composed image retrieval (RSCIR) enables search in large satellite image archives using composed queries that combine a reference image with a textual modifier. Alth…

cs.CV2026

EchoVQA: Enabling Conversational Assistance for Point-of-Care Cardiac Ultrasound

Filippos Bellos, Yutong Li, Jessie N Dong +6

Point-of-care transthoracic echocardiography (TTE) enables cardiac assessment in virtually any clinical setting, yet its diagnostic utility remains constrained by the expertise req…

cs.LG2026

Deep TPC: Temporal-Prior Conditioning for Time Series Forecasting

Filippos Bellos, NaveenJohn Premkumar, Yannis Avrithis +2

LLM-for-time series (TS) methods typically treat time shallowly, injecting positional or prompt-based cues once at the input of a largely frozen decoder, which limits temporal reas…

cs.CV2025

Instance-Level Composed Image Retrieval

Bill Psomas, George Retsinas, Nikos Efthymiadis +5

The progress of composed image retrieval (CIR), a popular research direction in image retrieval, where a combined visual and textual query is used, is held back by the absence of h…

cs.CV2025

Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency

Bill Psomas, Dionysis Christopoulos, Eirini Baltzi +6

As fine-tuning becomes impractical at scale, probing is emerging as the preferred evaluation protocol. However, standard linear probing can understate the capability of models whos…

cs.CL2025

DeepMLF: Multimodal language model with learnable tokens for deep fusion in sentiment analysis

Efthymios Georgiou, Vassilis Katsouros, Yannis Avrithis +1

While multimodal fusion has been extensively studied in Multimodal Sentiment Analysis (MSA), the role of fusion depth and multimodal capacity allocation remains underexplored. In t…