5 papers
FLIP: Final Layer Inference-Time Probing for Vision-Language Models
Drandreb Earl O. Juanico, Rowel O. Atienza
We present FLIP, a final-layer inference-time probe for testing whether a logit-facing intervention site in an open-weight vision-language model (VLM) supports structured, task-lin…
What Matters for Grocery Product Retrieval with Open Source Vision Language Models
Emmanuel G. Maminta, Rowel O. Atienza
Multimodal product retrieval (MPR) underpins checkout-free retail and automated inventory systems, yet it demands fine-grained SKU discrimination that standard vision-language benc…
A Survey of Spatial Memory Representations for Efficient Robot Navigation
Ma. Madecheen S. Pangaliman, Steven S. Sison, Erwin P. Quilloy +1
As vision-based robots navigate larger environments, their spatial memory grows without bound, eventually exhausting computational resources, particularly on embedded platforms (8-…
Sari Sandbox: A Virtual Retail Store Environment for Embodied AI Agents
Janika Deborah Gajo, Gerarld Paul Merales, Jerome Escarcha +5
We present Sari Sandbox, a high-fidelity, photorealistic 3D retail store simulation for benchmarking embodied agents against human performance in shopping tasks. Addressing a gap i…
Interpretable Open-Vocabulary Referring Object Detection with Reverse Contrast Attention
Drandreb Earl O. Juanico, Rowel O. Atienza, Jeffrey Kenneth Go
We propose Reverse Contrast Attention (RCA), a plug-in method that enhances object localization in vision-language transformers without retraining. RCA reweights final-layer attent…