Publications (Google Scholar)

2025

• Depth-Wise Convolutions in Vision Transformers for efficient training on small datasets
  Zhang, T., Xu, W., Luo, B. and Wang, G.
  Neurocomputing 617 (2025): 128998.
  [Code]
  

• PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector
  Li, K., Zhang, T., Peng, K.C. and Wang, G.
  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2025, pp. 3787-3796.
  

• Robust 3D point clouds classification based on declarative defenders
  Li, K., Zhang, T., Zhong, C., Zhang, Z. and Wang, G.
  Neural Computing and Applications 37, no. 3 (2025): 1209-1221.
  [Code]
  

2024

• A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields
  Rahman, R., Indris, C., Bramesfeld, G., Zhang, T., Li, K., Chen, X., Grijalva, I., McCornack, B., Flippo, D., Sharda, A. and Wang, G.
  Journal of Imaging 10, no. 5 (2024): 114.
  [Dataset]
  

2023

• Interpretable Computer Vision to Detect and Classify Structural Laryngeal Lesions in Digital Flexible Laryngoscopic Images
  Bur, A.M., Zhang, T., Chen, X., Kavookjian, H., Kraft, S., Karadaghy, O., Farrokhian, N., Mussatto, C., Penn, J. and Wang, G.
  Otolaryngology–Head and Neck Surgery 169, no. 6 (2023): 1564-1572.
  

• Aphid cluster recognition and detection in the wild using deep learning models
  Zhang, T., Li, K., Chen, X., Zhong, C., Luo, B., Grijalva, I., McCornack, B., Flippo, D., Sharda, A. and Wang, G.
  Scientific Reports 13, no. 1 (2023): 13410.
  [Dataset]
  

• A New Dataset and Comparative Study for Aphid Cluster Detection
  Zhang, T., Li, K., Chen, X., Zhong, C., Luo, B., Teran, I.G., McCornack, B., Flippo, D., Sharda, A. and Wang, G.
  2nd AAAI Workshop on AI for Agriculture and Food Systems. 2023.
  [Dataset]
  

• Gender, Smoking History, and Age Prediction from Laryngeal Images
  Zhang, T., Bur, A.M., Kraft, S., Kavookjian, H., Renslo, B., Chen, X., Luo, B. and Wang, G.
  Journal of imaging 9, no. 6 (2023): 109.
  

• On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild
  Rahman, R., Indris, C., Zhang, T., Li, K., McCornack, B., Flippo, D., Sharda, A. and Wang, G.
  Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, pp. 6299-6306.
  [Dataset]
  

2022

• Dynamic Label Assignment for Object Detection by Combining Predicted IoUs and Anchor IoUs
  Zhang, T., Luo, B., Sharda, A. and Wang, G.
  Journal of Imaging 8, no. 7 (2022): 193.
  [Code]
  

• An unsupervised domain adaptation model based on dual-module adversarial training
  Yang, Y., Zhang, T., Li, G., Kim, T. and Wang, G.
  Neurocomputing 475 (2022): 102-111.
  [Code]
  

• Miti-DETR: Object Detection based on Transformers with Mitigatory Self-Attention Convergence
  Ma, W., Zhang, T. and Wang, G.
  2022 AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE) (2022).
  [Code]
  

2021

• Colonoscopy polyp detection and classification: Dataset creation and comparative evaluations
  Li, K., Fathan, M.I., Patel, K., Zhang, T., Zhong, C., Bansal, A., Rastogi, A., Wang, J.S. and Wang, G.
  Plos one 16, no. 8 (2021): e0255809.
  [Dataset]
  

• Six-Channel Image Representation for Cross-Domain Object Detection
  Zhang, T., Ma, W. and Wang, G.
  International Conference on Image and Graphics, pp. 171-184. Cham: Springer International Publishing, 2021.
  

2020

• Real-time Golf Ball Detection and Tracking Based on Convolutional Neural Networks
  Zhang, X.*, Zhang, T.*, Yang, Y., Wang, Z. and Wang, G.
  2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2808-2813. IEEE, 2020.
  [Code, Dataset]
  

Preprints

• Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter
  Zhang, T., Zhang, X., Yang, Y., Wang, Z. and Wang, G.
  [Code, Dataset]