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20162026
most citedVision Skills Needed to Answer Visual Questions

17 citations · 64 across the 32 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CV2025

Hierarchical Instance Tracking to Balance Privacy Preservation with Accessible Information

Neelima Prasad, Jarek Reynolds, Neel Karsanbhai +6

We propose a novel task, hierarchical instance tracking, which entails tracking all instances of predefined categories of objects and parts, while maintaining their hierarchical re…

cs.CV2025

Logit-Based Losses Limit the Effectiveness of Feature Knowledge Distillation

Nicholas Cooper, Lijun Chen, Sailesh Dwivedy +1

Knowledge distillation (KD) methods can transfer knowledge of a parameter-heavy teacher model to a light-weight student model. The status quo for feature KD methods is to utilize l…

cs.HC2025

"Before, I Asked My Mom, Now I Ask ChatGPT": Visual Privacy Management with Generative AI for Blind and Low-Vision People

Tanusree Sharma, Yu-Yun Tseng, Lotus Zhang +5

Blind and low vision (BLV) individuals use Generative AI (GenAI) tools to interpret and manage visual content in their daily lives. While such tools can enhance the accessibility o…

cs.CV2025

PartStickers: Generating Parts of Objects for Rapid Prototyping

Mo Zhou, Josh Myers-Dean, Danna Gurari

Design prototyping involves creating mockups of products or concepts to gather feedback and iterate on ideas. While prototyping often requires specific parts of objects, such as wh…

cs.CV2025

Acknowledging Focus Ambiguity in Visual Questions

Chongyan Chen, Yu-Yun Tseng, Zhuoheng Li +2

No published work on visual question answering (VQA) accounts for ambiguity regarding where the content described in the question is located in the image. To fill this gap, we intr…