1 citations · 2 across the 13 of their papers we have counts for
13 papers
SurgGraph: Quantitative Laparoscopic Video Understanding via Geometry-Grounded Scene Graphs
Jingying Wang, Rosiana Natalie, Marquise D Singleterry +7
Surgical videos are a primary resource for teaching trainees anatomy, tool usage, and procedural skills. Yet learning from them at scale requires systems that understand surgical s…
AdaTurn: Budget-Aware Test-Time Scaling for Active Visual Perception Agents
Susan Liang, Chao Huang, Filippos Bellos +3
Active visual agents solve fine-grained image tasks by interleaving reasoning with image-grounding actions across multiple turns. However, deployment-time rollout budgets are rarel…
SurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery
Filippos Bellos, Andre S. Gala-Garza, Miaowei Wang +8
We introduce SurgAtlas, the largest surgical video-language dataset to date, comprising 15,291 videos (2,391 hours) spanning 18 surgical specialties and over 5,000 procedure types,…
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…
Substantial, Decomposable, and Invisible: Visual Context Misalignment in Instructional Videos for Physical Tasks
Yayuan Li, Chenglin Li, Jingying Wang +3
Instructional videos are the dominant medium for learning physical tasks, yet they rarely match the user's real-world visual context. Motor simulation and cognitive load theories p…
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…
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…
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…
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…
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…
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…
Towards Effective Human-in-the-Loop Assistive AI Agents
Filippos Bellos, Yayuan Li, Cary Shu +3
Effective human-AI collaboration for physical task completion has significant potential in both everyday activities and professional domains. AI agents equipped with informative gu…
VITRO: Vocabulary Inversion for Time-series Representation Optimization
Filippos Bellos, Nam H. Nguyen, Jason J. Corso
Although LLMs have demonstrated remarkable capabilities in processing and generating textual data, their pre-trained vocabularies are ill-suited for capturing the nuanced temporal…