Computer Vision

Vision systems designed to be steered by the people who use them. This includes concept-bottleneck retrieval for wildlife re-identification, where a domain expert can intervene on intermediate concepts mid-search, and adaptive streaming perception that trades accuracy against latency at run time based on scene content and system contention.

3 papers

  1. Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception

    Anurag Ghosh, Vaibhav Balloli, Akshay Nambi, Aditya Singh, Tanuja Ganu

    NeurIPS 2023

  2. Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval

    Vaibhav Balloli, Sara Beery, Elizabeth Bondi-Kelly

    IJCAI 2024 · Human-Centered AI track

  3. SEEK-CBM: Editable and Interpretable Retrieval for Elephant Re-Identification

    Antoine Salaün, Vaibhav Balloli, Timm Haucke, Elizabeth Bondi-Kelly, Sara Beery

    CV4Animals @ CVPR 2026

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