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20242026
most citedSurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery

1 citations · 2 across the 16 of their papers we have counts for

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10 papers · 1 filter

cs.HC2026

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…

cs.CV2026

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…

cs.SE2026

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…

cs.CV2026★ 1 cited

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,…

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.HC2026

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…

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.CV2026

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…

cs.CV2026

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…

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…