4 papers
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…
Towards High-Resolution Alignment and Super-Resolution of Multi-Sensor Satellite Imagery
Philip Wootaek Shin, Vishal Gaur, Rahul Ramachandran +4
High-resolution satellite imagery is essential for geospatial analysis, yet differences in spatial resolution across satellite sensors present challenges for data fusion and downst…
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…