Accepted Papers

Orals

AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data

Zengqun Zhao, Ziquan Liu, Yu Cao, Shaogang Gong, Ioannis Patras

Feat2GS: Probing Visual Foundation Models with Gaussian Splatting

Yue Chen, Xingyu Chen, Anpei Chen, Gerard Pons-Moll, Yuliang Xiu

AutoBench: A Dynamic Benchmark for Auditing Scientific Reasoning in Large Language Models

Shima Imani, Seungwhan Moon, Adel Ahmadyan, Lu Zhang, Ahmed Kirmani, Babak Damavandi

Posters

Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation

Zhuoran Zhao, Linlin Yang, Pengzhan Sun, Pan Hui, Angela Yao

BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing

Yunqi Gu, Ian Huang, Jihyeon Je, Guandao Yang, Leonidas Guibas

PhD: A ChatGPT-Prompted Visual hallucination Evaluation Dataset

Jiazhen Liu, Yuhan Fu, Ruobing Xie, Runquan Xie, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Xirong Li

Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data

Haoxin Li, Boyang Li

Ano-Face-Fair: Race-Fair Face Anonymization in Text-to-Image Synthesis using Simple Preference Optimization in Diffusion Model

YeonGyu Han, Seunghan Song, Dongheon Lee

Hidden Bias in the Machine: Stereotypes in Text-to-Image Models

     Sedat Porikli, Vedat Porikli

Enhancing Hyper-Personalization in Smart Glasses Design with a Knowledge Graph-Guided GAN Framework

Libo Wang

Investigating Spurious Correlations in Vision Models Using Counterfactual Images

Zichao Li

TinyHazardSynth: Industrial Grade Realistic Data Augmentation for Autonomous Driving Using 3D Modeling and Depth-Aware Occlusion Model

Yufeng Gao