Background Subtraction Based on Principal Motion for a Freely Moving Camera. - Yingnan Ma; Guanfang Dong; Chenqiu Zhao; Anup Basu; Zhengjiang Wu (ICSM, 2019)

Feature-Guided CNN for Denoising Images From Portable Ultrasound Devices. - Guanfang Dong; Yingnan Ma; Anup Basu (IEEE Access, 2021)

Real-time Street Human Motion Capture. - Yanquan Chen; Fei Yang; Tianyu Lang; Guanfang Dong; Anup Basu (CoRR, 2021)

Unsupervised Face Frontalization GAN Driven by 3D Rotation and Symmetric Filling. - Guanfang Dong; Anup Basu (ICSM, 2022)

MoCap Trajectory-Based Animation Synthesis and Perplexity Driven Compression. - Guanfang Dong; Anup Basu (ICSM, 2022)

GradXcepUNet: Explainable AI Based Medical Image Segmentation. - Amandeep Kaur; Guanfang Dong; Anup Basu (ICSM, 2022)

SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space. - Zihan Wang 007; Ruimin Chen; Mengxuan Liu; Guanfang Dong; Anup Basu (ICSM, 2022)

Example Perplexity. - Nevin L. Zhang; Weiyan Xie; Zhi Lin; Guanfang Dong; Xiao-Hui Li 009; Caleb Chen Cao; Yunpeng Wang (CoRR, 2022)

SPGNet: Spatial Projection Guided 3D Human Pose Estimation in Low Dimensional Space. - Zihan Wang; Ruimin Chen; Mengxuan Liu; Guanfang Dong; Anup Basu (CoRR, 2022)

Bridging Distribution Learning and Image Clustering in High-Dimensional Space. - Guanfang Dong; Chenqiu Zhao; Anup Basu (VCC, 2023)

Frequency Regularization: Reducing Information Redundancy in Convolutional Neural Networks. - Chenqiu Zhao; Guanfang Dong; Shupei Zhang; Zijie Tan; Anup Basu (IEEE Access, 2023)

Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks. - Chenqiu Zhao; Guanfang Dong; Shupei Zhang; Zijie Tan; Anup Basu (CoRR, 2023)

Learning Temporal Distribution and Spatial Correlation for Universal Moving Object Segmentation. - Guanfang Dong; Chenqiu Zhao; Xichen Pan; Anup Basu (CoRR, 2023)

Learning Distributions via Monte-Carlo Marginalization. - Chenqiu Zhao; Guanfang Dong; Anup Basu (CoRR, 2023)

A Complete Review on Image Denoising Techniques for Medical Images. - Amandeep Kaur; Guanfang Dong (Neural Process. Lett., 2023)

Medical Image Denosing via Explainable AI Feature Preserving Loss. - Guanfang Dong; Anup Basu (ICSM, 2024)

Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module. - Zijie Tan; Guanfang Dong; Chenqiu Zhao; Anup Basu (ICSM, 2024)

Accelerating Inference of Networks in the Frequency Domain. - Chenqiu Zhao; Guanfang Dong; Anup Basu (MMAsia, 2024)

Deep Clustering via Distribution Learning. - Guanfang Dong; Zijie Tan; Chenqiu Zhao; Anup Basu (CoRR, 2024)

Learning Temporal Distribution and Spatial Correlation Toward Universal Moving Object Segmentation. - Guanfang Dong; Chenqiu Zhao; Xichen Pan; Anup Basu (IEEE Trans. Image Process., 2024)