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Profil bibliographique

Ning Zhang

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

5Publications signalées
0Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Human Pose and Action RecognitionTopic ModelingAdvanced Neural Network ApplicationsVideo Surveillance and Tracking MethodsEnergy, Environment, Economic Growth

Les publications récentes

Accès ouvert 2026 article OpenAlex

LWIR-HPE: a high-variance keypoint perception network for human pose estimation in weakly textured LWIR scenes

Jiayuan Liu, Ning Zhang, Xin Xu, Pan Yue

Human pose estimation under adverse imaging conditions remains challenging for visible-light systems, where rain, snow, haze, and low illumination often cause severe contrast degradation and background interference. Although long-wave infrared (LWIR) imaging is less sensitive to illumination changes and better suited to …

cn (code pays fourni par la source)

0 citations Journal of King Saud University - Computer and Information Sciences
Accès ouvert 2026 preprint OpenAlex

Low Rank Adaptation for Adversarial Perturbation

Han Liu, Shanghao Shi, Yevgeniy Vorobeychik, Chongjie Zhang et autres

Low-Rank Adaptation (LoRA), which leverages the insight that model updates typically reside in a low-dimensional space, has significantly improved the training efficiency of Large Language Models (LLMs) by updating neural network layers using low-rank matrices. Since the generation of adversarial examples is …

us (code pays fourni par la source)

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons

Kehong Gong, Zhengyu Wen, Dao Thien Phong, Mingxi Xu et autres

Recent methods for arbitrary-skeleton motion capture from monocular video follow a factorized pipeline, where a Video-to-Pose network predicts joint positions and an analytical inverse-kinematics (IK) stage recovers joint rotations. While effective, this design is inherently limited, since joint positions do not fully …

0 citations arXiv (Cornell University)
Accès ouvert 2026 article OpenAlex

ARPL: attraction-repulsion-guided stabilized policy learning for social robot navigation

Ning Zhang, Shifeng Wang, Suilian You, Jin Meng et autres

Social navigation in dense human crowds requires collision-free and socially compliant behaviors under highly uncertain pedestrian dynamics. However, conflicting optimization objectives prevent existing Deep reinforcement learning (DRL) based methods from achieving stable, efficient, and socially compliant navigation. To address these challenges, we …

cn, sa (code pays fourni par la source)

0 citations Journal of King Saud University - Computer and Information Sciences

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