activity
20172026
most citedLearning with Bounded Instance- and Label-dependent Label Noise

27 citations · 27 across the 5 of their papers we have counts for

collaborators

5 papers

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

Adapting Dual-encoder Vision-language Models for Paraphrased Retrieval

Jiacheng Cheng, Hijung Valentina Shin, Nuno Vasconcelos +2

In the recent years, the dual-encoder vision-language models (\eg CLIP) have achieved remarkable text-to-image retrieval performance. However, we discover that these models usually…

stat.ML2017★ 27 cited

Learning with Bounded Instance- and Label-dependent Label Noise

Jiacheng Cheng, Tongliang Liu, Kotagiri Ramamohanarao +1

Instance- and Label-dependent label Noise (ILN) widely exists in real-world datasets but has been rarely studied. In this paper, we focus on Bounded Instance- and Label-dependent l…