activity
20242026
most citedTowards Effective Human-in-the-Loop Assistive AI Agents

1 citations · 1 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Follow Your Heart: Landmark-Guided Transducer Pose Scoring for Point-of-Care Echocardiography

Zaiyang Guo, Jessie N. Dong, Filippos Bellos +8

Point-of-care transthoracic echocardiography (TTE) makes it possible to assess a patient's cardiac function in almost any setting. A critical step in the TTE exam is acquisition of…

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

Omni-Judge: Can Omni-LLMs Serve as Human-Aligned Judges for Text-Conditioned Audio-Video Generation?

Susan Liang, Chao Huang, Filippos Bellos +7

State-of-the-art text-to-video generation models such as Sora 2 and Veo 3 can now produce high-fidelity videos with synchronized audio directly from a textual prompt, marking a new…

cs.CV2025

Mistake Attribution: Fine-Grained Mistake Understanding in Egocentric Videos

Yayuan Li, Aadit Jain, Filippos Bellos +1

We introduce Mistake Attribution (MATT), a new task for fine-grained understanding of human mistakes in egocentric videos. While prior work detects whether a mistake occurs, MATT a…

cs.CV2025

When to Think and When to Look: Uncertainty-Guided Lookback

Jing Bi, Filippos Bellos, Junjia Guo +8

Test-time thinking (that is, generating explicit intermediate reasoning chains) is known to boost performance in large language models and has recently shown strong gains for large…

cs.CV2025

Towards Consistent Long-Term Pose Generation

Yayuan Li, Filippos Bellos, Jason Corso

Current approaches to pose generation rely heavily on intermediate representations, either through two-stage pipelines with quantization or autoregressive models that accumulate er…