Dong Wang avatar

汪栋

Dong Wang

Ph.D. Student

National University of Defense Technology

World Modeling Autonomous Driving 3D Understanding Occupancy Flow Multimodal Perception

Publications

5 papers

SpecBridge: Spectral Structure Alignment and Transitive Bridging for 3D–2D–Text Pre-Training

Dong Wang , Jie Jiang , Weidong Min , Lixin Zhan , Xinpeng Zhao , Ze Zhang

Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-26)

CLIP-guided spectral structure alignment and transitive semantic bridging for open-vocabulary 3D understanding.

3D Understanding Vision-Language Learning Multi-Modal Learning CCF-B International Conference

VehicleMAE: View-asymmetry Mutual Learning for Vehicle Re-identification Pre-training via Masked AutoEncoders

Qi Wang , Zeyu Zhang , Dong Wang , Di Gai , Xin Xiong , Jiyang Xu , Ruihua Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2025)

View-asymmetry masked autoencoding and past-to-present mutual distillation on DiffVERI for view-invariant vehicle re-identification.

Vehicle Re-ID Autonomous Driving Large-scale Pre-training CCF-A International Conference

Threefold Encoder Interaction: Hierarchical Multi-Grained Semantic Alignment for Cross-Modal Food Retrieval

Qi Wang , Dong Wang , Weidong Min , Di Gai , Qing Han , Cheng Zha , Yuling Zhong

IEEE Transactions on Multimedia (TMM)

A threefold encoder interaction framework for cross-modal food retrieval with hierarchical multi-grained semantic alignment.

Cross-Modal Retrieval Food Computing Vision-Language Learning Multimodal Learning CCF-A Journal

Vision-language constraint graph representation learning for unsupervised vehicle re-identification

Dong Wang , Qi Wang , Zhiwei Tu , Weidong Min , Xin Xiong , Yuling Zhong , Di Gai

Expert Systems with Applications (ESWA)

A vision-language constraint graph representation learning framework for unsupervised vehicle Re-ID.

Vehicle Re-ID Vision-Language Learning Graph Representation Learning Unsupervised Learning SCI-Q1 Journal

SAM-driven MAE pre-training and background-aware meta-learning for unsupervised vehicle re-identification

Dong Wang , Qi Wang , Weidong Min , Di Gai , Qing Han , Longfei Li , Yuhan Geng

Computational Visual Media

A SAM-driven MAE pre-training and background-aware meta-learning framework for reducing background interference in unsupervised vehicle Re-ID.

Vehicle Re-ID Unsupervised Learning Self-Supervised Learning Meta-Learning CCF-B Journal