1 citations · 1 across the 7 of their papers we have counts for
7 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…
Salient Store: Enabling Smart Storage for Continuous Learning Edge Servers
Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson +2
As continuous learning based video analytics continue to evolve, the role of efficient edge servers in efficiently managing vast and dynamic datasets is becoming increasingly cruci…
Synergistic and Efficient Edge-Host Communication for Energy Harvesting Wireless Sensor Networks
Cyan Subhra Mishra, Jack Sampson, Mahmut Taylan Kandmeir +2
There is an increasing demand for intelligent processing on ultra-low-power internet of things (IoT) device. Recent works have shown substantial efficiency boosts by executing infe…
Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computers
Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson +2
The deployment of Deep Neural Networks in energy-constrained environments, such as Energy Harvesting Wireless Sensor Networks, presents unique challenges, primarily due to the inte…