publications

2026

  1. babyvlm_v2.png
    BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models
    Shengao Wang, Wenqi Wang, Zecheng Wang, and 20 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2026
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    Hearing Between the Lines: Unlocking the Reasoning Power of LLMs for Speech Evaluation
    Arjun Chandra, Kevin Miller, Venkatesh Ravichandran, and 2 more authors
    In Findings of the Association for Computational Linguistics: EACL, Mar 2026

2025

  1. nph.png
    Accelerating myelin defect detection in neurodegenerative disorders: a human-in-the-loop deep learning approach with birefringence microscopy
    Anna Novoseltseva, Arjun Chandra, Alexander J. Gray, and 3 more authors
    Neurophotonics, Nov 2025
  2. babyvlm.png
    BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning
    Shengao Wang, Arjun Chandra, Aoming Liu, and 2 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2025
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    Imaging myelin degradation in ex vivo prefrontal cortex tissue blocks in Alzheimer’s disease and chronic traumatic encephalopathy
    Anna Novoseltseva, Gulce Kureli, Shuaibin Chang, and 10 more authors
    Alzheimer’s & Dementia, Aug 2025
  4. factv.png
    Grounding Pixels in Facts: Distilled Knowledge Retrieval for Factual Text-to-Video Generation
    Daniel Lee*, Arjun Chandra*, Yang Zhou, and 2 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Demonstration Program, Jun 2025
    *Equal contribution
  5. aaai_t2v.png
    Rewind and Render: Towards Factually Accurate Text-to-Video Generation with Distilled Knowledge Retrieval
    Daniel Lee*, Arjun Chandra*, Yang Zhou, and 2 more authors
    Proceedings of the AAAI Conference on Artificial Intelligence, Apr 2025
    *Equal contribution