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20232026
most citedSAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

10 citations · 22 across the 31 of their papers we have counts for

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6 papers · 1 filter

cs.CR2026

SpatialTrust: A Benchmark for Environmental Risk Recognition in Secure Authentication

Junbin Lu, Hsiang-Wei Huang, Saesha Wadhwa +2

Visual environmental risk recognition plays an important role in secure authentication, where a user's surroundings may reveal sensitive information or introduce potential security…

cs.CV2026

LeFlow: Generative Latent Flow Planning for World Models

Hsiang-Wei Huang, Jianxu Shangguan, Junbin Lu +1

Latent world models are inherently strong encoders that transform image pixel to latent embedding, yet existing world models still rely on online trajectory optimization for action…

cs.CV2026

Memory Tree Guided Key Frame Querying for Efficient 3D Question Answering

Hsiang-Wei Huang, Fu-Chen Chen, Li-Wu Tsao +7

Answering questions accurately and efficiently in embodied scenarios presents significant challenges due to limited computational and memory resources for Vision Language Model (VL…

cs.CV2026

CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models

Hsiang-Wei Huang, Junbin Lu, Kuang-Ming Chen +3

Vision-Language Models (VLMs) achieve strong performance on spatial question answering benchmarks, yet it remains unclear whether such gains reflect genuine spatial intelligence. W…

cs.CV2026

RAM: Recover Any 3D Human Motion in-the-Wild

Sen Jia, Ning Zhu, Jinqin Zhong +4

RAM incorporates a motion-aware semantic tracker with adaptive Kalman filtering to achieve robust identity association under severe occlusions and dynamic interactions. A memory-au…

cs.CV2026

Detector-in-the-Loop Tracking: Active Memory Rectification for Stable Glottic Opening Localization

Huayu Wang, Bahaa Alattar, Cheng-Yen Yang +5

Temporal stability in glottic opening localization remains challenging due to the complementary weaknesses of single-frame detectors and foundation-model trackers: the former lacks…