1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Diffusion-based Data Augmentation for Object Counting Problems
Zhen Wang, Yuelei Li, Jia Wan +1
Crowd counting is an important problem in computer vision due to its wide range of applications in image understanding. Currently, this problem is typically addressed using deep le…