1 citations · 2 across the 16 of their papers we have counts for
16 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…
NTILC: Neural Tool Invocation via Learned Compression
Andrew Krikorian, Yayuan Li, Jason J. Corso
Agentic tool-calling language models depend on large registries of callable APIs, functions, and local actions. Placing full tool specifications directly in the prompt incurs a cos…
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…
TDMM-LM: Bridging Facial Understanding and Animation via Language Models
Luchuan Song, Pinxin Liu, Haiyang Liu +7
Text-guided human body animation has advanced rapidly, yet facial animation lags due to the scarcity of well-annotated, text-paired facial corpora. To close this gap, we leverage f…
BiMotion: B-spline Motion for Text-guided Dynamic 3D Character Generation
Miaowei Wang, Qingxuan Yan, Zhi Cao +4
Text-guided dynamic 3D character generation has advanced rapidly, yet producing high-quality motion that faithfully reflects rich textual descriptions remains challenging. Existing…
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…
Transparent and Coherent Procedural Mistake Detection
Shane Storks, Itamar Bar-Yossef, Yayuan Li +3
Procedural mistake detection (PMD) is a challenging problem of classifying whether a human user (observed through egocentric video) has successfully executed a task (specified by a…
HANDI: Hand-Centric Text-and-Image Conditioned Video Generation
Yayuan Li, Zhi Cao, Jason J. Corso
Despite the recent strides in video generation, state-of-the-art methods still struggle with elements of visual detail. One particularly challenging case is the class of videos in…