Adaptive Scale Fusion via Uncertainty Estimation for Visual Grounding in Remote Sensing Images
Z. Zhang, Y. Zou, J. Wang, P. Wang
IEEE Transactions on Geoscience and Remote Sensing, 2026
Northwestern Polytechnical University
School of Computer Science
Zhipeng Zhang
PhD candidate at the School of Computer Science, Northwestern Polytechnical University
I am a PhD candidate at the School of Computer Science, Northwestern Polytechnical University, advised by Prof. Peng Wang. My research focuses on vision-language models, multimodal generative modeling, visual grounding and embodied vision-language intelligence.
News
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2026
Our paper on uncertainty-aware visual grounding in remote-sensing images was published in IEEE TGRS.
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2026
We released MoRe-UAV, a large-scale benchmark for motion-aware visual grounding in UAV videos.
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2024
Our paper Image Fusion via Vision-Language Model appeared at ICML 2024.
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2023
Our robustness evaluation for referring expression comprehension was selected as a BMVC 2023 oral.
Selected Publications
MoRe-UAV: A Large-Scale Benchmark for Motion-Aware Visual Grounding in UAV Videos
Z. Zhang, Y. Zhang, W. Suo, L. Liu, J. Wang, P. Wang
Contourlet Refinement Gate Framework for Thermal Spectrum Distribution-Regularized Infrared Image Super-Resolution
Y. Zou, Z. Chen, Z. Zhang, X. Li, L. Ma, J. Liu, P. Wang, Y. Zhang
International Journal of Computer Vision, 2025
Image Fusion via Vision-Language Model
Z. Zhang, L. Deng, H. Bai, Y. Cui, Z. Zhang, Y. Zhang, H. Qin, D. Chen, J. Zhang, P. Wang, L. Van Gool
ICML, 2024
Self-Explainable Affordance Learning with Embodied Caption
Z. Zhang, Z. Wei, G. Sun, P. Wang, L. Van Gool
arXiv, 2024
A Critical Robustness Evaluation for Referring Expression Comprehension Methods
Z. Zhang, Z. Wei, P. Wang
BMVC, 2023, Oral Presentation
One for All: One-stage Referring Expression Comprehension with Dynamic Reasoning
Z. Zhang, Z. Wei, Z. Huang, R. Niu, P. Wang
Neurocomputing, 2023
Fine-Grain Alignment for Text-Based Person Retrieval via Semantics-Centric Visual Division
Z. Wei*, Z. Zhang*, P. Wu, J. Wang, P. Wang, Y. Zhang
IEEE TCSVT, 2023
Experience
Northwestern Polytechnical University
PhD candidate in Computer Science and Technology. Direct PhD program, advised by Prof. Peng Wang and Prof. Yanning Zhang.
ETH Zurich, Computer Vision Lab
Visiting PhD student / Academic Guest. Research on vision-language modeling for embodied intelligence and perception-centric decision-making.
Alibaba Group, Beijing
Research intern, Algorithm Engineer. Large-scale multimodal modeling for e-commerce content understanding, copywriting generation, and customer QA.
Northwestern Polytechnical University
B.Eng. and M.Sc. coursework in Computer Science and Technology. Selected for the direct PhD track.
Academic Service
Conference reviewer for CVPR 2026, AAAI 2026, ICML 2025, and BMVC 2023-2025. Journal reviewer for TCSVT, TGRS, TIP, Neurocomputing, and other venues.
Awards and Honors
Recipient of doctoral research funding as principal applicant / project lead, robotics and innovation competition awards, scholarships, two authorized national patents, and one international patent under review.
Skills
C/C++, Python, Java, PyTorch, Linux, ROS, model design, model training, optimization, and robotics-oriented deployment. Research expertise includes vision-language models, multimodal generative modeling, referring expression comprehension, image-text retrieval, and embodied vision-language intelligence.