collaborators

6 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.CV2026

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.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.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…