activity
20242026
most citedFairness and Bias Mitigation in Computer Vision: A Survey

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Diffusion Meta-Prompting and Steering for Generalizable Foundation Model Adaptation

Deepak Sridhar, Yi Li, Kartikeya Bhardwaj +7

Prompt learning is a popular method for adapting foundation models, but learned prompts are typically task-specific and fail to generalize to new classes, domains, or compositions…

cs.CV2026

An Attribute-Based Measure of Video Complexity

Aditya Sarkar, Yi Li, Zihao Wang +8

A new framework for the estimation of the complexity posed by video-question pairs to video-LLMs, Video Attribute-Based Complexity (VideoABC), is proposed. Video complexity is defi…

cs.CV2026

Leveraging Data to Say No: Memory Augmented Plug-and-Play Selective Prediction

Aditya Sarkar, Yi Li, Jiacheng Cheng +2

Selective prediction aims to endow predictors with a reject option, to avoid low confidence predictions. However, existing literature has primarily focused on closed-set tasks, suc…

cs.CV2025

EgoPrivacy: What Your First-Person Camera Says About You?

Yijiang Li, Genpei Zhang, Jiacheng Cheng +7

While the rapid proliferation of wearable cameras has raised significant concerns about egocentric video privacy, prior work has largely overlooked the unique privacy threats posed…

cs.CV2024★ 3 cited

Fairness and Bias Mitigation in Computer Vision: A Survey

Sepehr Dehdashtian, Ruozhen He, Yi Li +4

Computer vision systems have witnessed rapid progress over the past two decades due to multiple advances in the field. As these systems are increasingly being deployed in high-stak…