5 papers · 1 filter
When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise
Philip Wootaek Shin, Ajay Narayanan Sridhar, Sivani Devarapalli +3
Vision-language models (VLMs) achieve strong multimodal performance but remain prone to relation hallucination, which requires accurate reasoning over inter-object interactions. We…
Losing the Plot: How VLM responses degrade on imperfect charts
Philip Wootaek Shin, Jack Sampson, Vijaykrishnan Narayanan +2
Vision language models (VLMs) show strong results on chart understanding, yet existing benchmarks assume clean figures and fact based queries. Real world charts often contain disto…
Disharmony: Forensics using Reverse Lighting Harmonization
Philip Wootaek Shin, Jack Sampson, Vijaykrishnan Narayanan +2
Content generation and manipulation approaches based on deep learning methods have seen significant advancements, leading to an increased need for techniques to detect whether an i…
KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing
Shu Zhao, Tan Yu, Xiaoshuai Hao +2
Deep hashing has been widely used for large-scale approximate nearest neighbor search due to its storage and search efficiency. However, existing deep hashing methods predominantly…
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models
Philip Wootaek Shin, Jihyun Janice Ahn, Wenpeng Yin +2
It has been shown that many generative models inherit and amplify societal biases. To date, there is no uniform/systematic agreed standard to control/adjust for these biases. This…