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I am currently a second-year Ph.D. student majoring in Computer Science at Texas A&M University , and my advisors are Prof. Wenping Wang and Prof. Xin Li. I received the Bachelor of Engineering degree at Fudan University in 2023. I also worked as a research assistant at HKUST CSE department with Prof. Dan Xu. Previously, I have been working with Prof. Tao Chen and Prof. Jiayuan Fan at Fudan University.

My research interests lie in computer vision and graphics. For computer graphics, I work on 3D asset generation and neural rendering. For computer vision, I work on representation learning and scene understanding especially under multi-tasking scenarios.

Email: jdzhang [at] tamu [dot] edu
Wechat: Triumph0929
OpenReview / GitHub / Google Scholar / CV


News



Education

Texas A&M University
Department of Computer Science and Engineering
Ph.D Student
Auguest 2023 - recent
Fudan University
Intelligent Science and Technology (excellent class), School of Information Science and Engineering
Undergraduate Student
September 2019 - June 2023, received the bachelor's degree in Jun 2023


Internship

Tencent America
Research Intern, working on high-quality 3D asset generation.
May 2024 - Aug 2024


Publications

SPGen: Spherical Projection as Consistent and Flexible Representation for Single Image 3D Shape Generation
SPGen leverages Spherical Projection (SP) to generate high-quality 3D shapes with i）consistency: SP maps ensure view-consistent and unambiguous 3D reconstruction, and ii) flexibility: Supports arbitrary topologies.
Zhuowen Shen, Yuan Liu, Zhang Chen, Zhong Li, Jiepeng Wang, Yongqing Liang, Zhengming Yu, Jingdong Zhang, Yi Xu, Scott Schaefer, Xin Li, Wenping Wang
SolidGS: Consolidating Gaussian Surfel Splatting for Sparse-View Surface Reconstruction
Arxiv, 2024    [ arxiv ]    [ project ]
Abstract: We present SolidGS, which reconstructs a consolidated Gaussian field from sparse inputs. Given only three input views, our approach enables high-precision and detailed mesh extraction, and high-quality novel view synthesis, achieved within just three minutes.
Jingdong Zhang*, Hanrong Ye, Xin Li, Wenping Wang, Dan Xu
Multi-Task Label Discovery via Hierarchical Task Tokens for Partially Annotated Dense Predictions
IJCV (International Journal of Computer Vision), 2024, Under Review    [ arxiv ]
Abstract: This research proposes a new approach to multi-task dense predictions with partially labeled data. We introduce hierarchical task tokens (HiTTs) to capture multi-level representations. The global task tokens conduct cross-task interactions and transfer knowledge from labeled to unlabeled tasks, while the fine-grained task tokens form high-quality task predictions at a finer granularity.
Jingdong Zhang, Jiayuan Fan*, Peng Ye, Bo Zhang, Hancheng Ye, Baopu Li, Yancheng Cai, Tao Chen
BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-task Dense Predictions
TPAMI (IEEE Transactions on Pattern Analysis and Machine Intelligence), 2024    [ arxiv ]
Abstract: This work introduces a novel BridgeNet for multi-task learning on dense predictions. It uses a Bridge Feature Extractor (BFE) to create strong bridge features and a Task Pattern Propagation (TPP) to solve the task-pattern entanglement issue, which results in task-specific features with higher quality and discriminative task representations. A Task-Feature Refiner (TFR) is then used to refine the final task predictions.
Yancheng Cai, Bo Zhang, Baopu Li, Tao Chen*, Hongliang Yan, Jingdong Zhang, Jiahao Xu
Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-Free One-Stage Detectors
TIP (IEEE Transactions on Image Processing), 2023    [ paper ]    [ code ]
Abstract: We introduce a new approach for cross-domain pedestrian one-stage detectors. The paper identifies a foreground-background misalignment issue in image-level feature alignment, and a novel framework, Background-Focused Distribution Alignment (BFDA) is proposed to address this issue.


Research Experience



Selected Award



Academic Service


TX, US
Reflection Lake, Mount Rainier NP, WA, US
AZ, US
Petrified Forest NP, AZ, US