37 citations · 134 across the 21 of their papers we have counts for
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cs.CV2026
Low-Quality Face Recognition using Center Aligned Representations and Local Margin Constraints
Vedat Can Dilaver, Benjamin S. Riggan
Low-quality face recognition (LQFR) remains challenging due to the difficulty of matching degraded query (probe) images against low-quality (LQ) enrollment (gallery) imagery and th…
cs.CV2026
Quality-Aware Multimodal Fusion Reveals Implicit Identity in Valence-Arousal Features
Jisu Kim, Benjamin S. Riggan
Conventional face recognition relies on static appearance cues and degrades in unconstrained settings with expression variation, occlusion, and poor lighting. We hypothesize that a…
cs.CV2026
WeedExpert-R1: Incentivizing Botanical Reasoning in MLLMs with Reinforcement Learning for Precision Weed Grounding
Zonglin Yang, Wei-Zhen Liang, Nevin Lawrence +4
Precision weed control requires species-level identification and instance-level localization. However, conventional object detectors use a closed vocabulary, limiting their deploym…