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@vulab-AI

vulab-AI

README.md

Welcome to VULab: Visual Understanding Lab at CWRU! 👋

Our research lab is dedicated to advancing visual understanding through cutting-edge AI and machine learning techniques. Our mission is to explore and develop innovative solutions in visual language models (VLMs), 3D vision, and more, to push the boundaries of how machines perceive and interpret the world.

Amazing Projects at VULab

Large Foundation Models (LLMs, VLMs, VLAs)

Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument Generation International Conference on Computational Linguistics (COLING), 2025

3D Vision

Explore these projects and more to learn how we're shaping the future of visual AI!

Lab members

  • Yu Yin (PI and Lab Director)
  • Yiren Lu (Ph.D)
  • Disheng Liu (Ph.D)
  • Jerry Peng (Ph.D)
  • Tuo Liang (Ph.D)
  • Chaoda Song(Ph.D)
  • Yanyan Zhang (Ph.D)
  • Yunlai Zhou (MS)
  • Yichen Duan (MS)

Popular repositories Loading

  1. BARD-GS BARD-GS Public

    Project page for BARD-GS: Blur-Aware Reconstruction of Dynamic Scenes via Gaussian Splatting, accepted to CVPR 2025

    JavaScript 8 1

  2. YESBUT_Homepage YESBUT_Homepage Public

    YesBut Benchmark; Project page of paper Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions, accepted by NeurIPS 2024 (Oral).

    JavaScript 1

  3. .github .github Public

    Projects of VULab @ CWRU

    1

  4. YESBUT-v2 YESBUT-v2 Public

    We introduce the YesBut-v2, a benchmark for assessing AI's ability to interpret juxtaposed comic panels with contradictory narratives. Unlike existing benchmarks, it emphasizes visual understanding…

    JavaScript 1

  5. Segment-then-Splat Segment-then-Splat Public

    Project page of paper Segment-then-Splat: A Unified Approach for 3D Open-Vocabulary Segmentation based on Gaussian Splatting

    JavaScript 1

  6. View-consistent_Object_Removal_in_Radiance_Fields View-consistent_Object_Removal_in_Radiance_Fields Public

    Project page of paper View-consistent Object Removal in Radiance Fields, accepted by ACM MM 2024.

    JavaScript

Repositories

Showing 6 of 6 repositories
  • .github Public

    Projects of VULab @ CWRU

    vulab-AI/.github’s past year of commit activity
    1 MIT 0 0 0 Updated Apr 21, 2025
  • YESBUT-v2 Public

    We introduce the YesBut-v2, a benchmark for assessing AI's ability to interpret juxtaposed comic panels with contradictory narratives. Unlike existing benchmarks, it emphasizes visual understanding, comparative reasoning, and social knowledge.

    vulab-AI/YESBUT-v2’s past year of commit activity
    JavaScript 1 MIT 0 0 0 Updated Apr 7, 2025
  • BARD-GS Public

    Project page for BARD-GS: Blur-Aware Reconstruction of Dynamic Scenes via Gaussian Splatting, accepted to CVPR 2025

    vulab-AI/BARD-GS’s past year of commit activity
    JavaScript 8 1 1 0 Updated Apr 1, 2025
  • Segment-then-Splat Public

    Project page of paper Segment-then-Splat: A Unified Approach for 3D Open-Vocabulary Segmentation based on Gaussian Splatting

    vulab-AI/Segment-then-Splat’s past year of commit activity
    JavaScript 1 0 0 0 Updated Apr 1, 2025
  • View-consistent_Object_Removal_in_Radiance_Fields Public

    Project page of paper View-consistent Object Removal in Radiance Fields, accepted by ACM MM 2024.

    vulab-AI/View-consistent_Object_Removal_in_Radiance_Fields’s past year of commit activity
    JavaScript 0 0 0 0 Updated Mar 31, 2025
  • YESBUT_Homepage Public

    YesBut Benchmark; Project page of paper Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions, accepted by NeurIPS 2024 (Oral).

    vulab-AI/YESBUT_Homepage’s past year of commit activity
    JavaScript 1 MIT 0 0 0 Updated Mar 28, 2025

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