Tongda Xu

According to our database, Tongda Xu authored at least 36 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Task-Aware Encoder Control for Deep Video Compression.

Xingtong Ge, Jixiang Luo, Xinjie Zhang, Tongda Xu, Guo Lu, Dailan He, Jing Geng, Yan Wang, Jun Zhang, Hongwei Qin

CoRR, 2024

Consistency Models Improve Diffusion Inverse Solvers.

Tongda Xu, Ziran Zhu, Dailan He, Yuanyuan Wang, Ming Sun, Ning Li, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

CoRR, 2024

GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting.

Xinjie Zhang, Xingtong Ge, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin, Guo Lu, Jing Geng, Jun Zhang

CoRR, 2024

Content-aware Masked Image Modeling Transformer for Stereo Image Compression.

Xinjie Zhang, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Jun Zhang

CoRR, 2024

EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection.

Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Noise Dimension of GAN: An Image Compression Perspective.

Ziran Zhu, Tongda Xu, Ling Li, Yan Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Idempotence and Perceptual Image Compression.

Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Bandwidth-Efficient Inference for Nerual Image Compression.

Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

ECM-OPCC: Efficient Context Model for Octree-Based Point Cloud Compression.

Yiqi Jin, Ziyu Zhu, Tongda Xu, Yuhuan Lin, Yan Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

GeneFormer: Learned Gene Compression using Transformer-Based Context Modeling.

Zhanbei Cui, Tongda Xu, Jia Wang, Yu Liao, Yan Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting.

Xinjie Zhang, Xingtong Ge, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin, Guo Lu, Jing Geng, Jun Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

Boosting Neural Representations for Videos with a Conditional Decoder.

Xinjie Zhang, Ren Yang, Dailan He, Xingtong Ge, Tongda Xu, Yan Wang, Hongwei Qin, Jun Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Task-Aware Encoder Control for Deep Video Compression.

Xingtong Ge, Jixiang Luo, Xinjie Zhang, Tongda Xu, Guo Lu, Dailan He, Jing Geng, Yan Wang, Jun Zhang, Hongwei Qin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Bandwidth-efficient Inference for Neural Image Compression.

Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu

CoRR, 2023

Conditional Perceptual Quality Preserving Image Compression.

Tongda Xu, Qian Zhang, Yanghao Li, Dailan He, Zhe Wang, Yuanyuan Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

CoRR, 2023

Evaluating Strong Idempotence of Image Codec.

Qian Zhang, Tongda Xu, Yanghao Li, Yan Wang

CoRR, 2023

VIMI: Vehicle-Infrastructure Multi-view Intermediate Fusion for Camera-based 3D Object Detection.

Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang

CoRR, 2023

Idempotent Learned Image Compression with Right-Inverse.

Yanghao Li, Tongda Xu, Yan Wang, Jingjing Liu, Ya-Qin Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bit Allocation using Optimization.

Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

Proceedings of the International Conference on Machine Learning, 2023

MIXLIC: Mixing Global and Local Context Model for learned Image Compression.

Haihang Ruan, Feng Wang, Tongda Xu, Zhiyong Tan, Yan Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Unified Learning-Based Lossy and Lossless Jpeg Recompression.

Jianghui Zhang, Yuanyuan Wang, Lina Guo, Jixiang Luo, Tongda Xu, Yan Wang, Zhi Wang, Hongwei Qin

Proceedings of the IEEE International Conference on Image Processing, 2023

Your Camera Improves Your Point Cloud Compression.

Yuhuan Lin, Tongda Xu, Ziyu Zhu, Yanghao Li, Zhe Wang, Yan Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

GeneFormer: Learned Gene Compression using Transformer-based Context Modeling.

Zhanbei Cui, Yu Liao, Tongda Xu, Yan Wang

CoRR, 2022

ECM-OPCC: Efficient Context Model for Octree-based Point Cloud Compression.

Yiqi Jin, Ziyu Zhu, Tongda Xu, Yuhuan Lin, Yan Wang

CoRR, 2022

Correcting the Sub-optimal Bit Allocation.

Tongda Xu, Han Gao, Yuanyuan Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

CoRR, 2022

Bit Allocation using Optimization.

Tongda Xu, Han Gao, Chenjian Gao, Jinyong Pi, Yanghao Li, Yuanyuan Wang, Ziyu Zhu, Dailan He, Mao Ye, Hongwei Qin, Yan Wang

CoRR, 2022

Multi-Sample Training for Neural Image Compression.

Tongda Xu, Yan Wang, Dailan He, Chenjian Gao, Han Gao, Kunzan Liu, Hongwei Qin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Flexible Neural Image Compression via Code Editing.

Chenjian Gao, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Spatial Moment Pooling Improves Neural Image Assessment.

Tongda Xu, Yifan Shao, Yan Wang, Hongwei Qin

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

PO-ELIC: Perception-Oriented Efficient Learned Image Coding.

Dailan He, Ziming Yang, Hongjiu Yu, Tongda Xu, Jixiang Luo, Yuan Chen, Chenjian Gao, Xinjie Shi, Hongwei Qin, Yan Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Ultrasound Mouse Embryo Segmentation and Classification.

Ziming Qiu, Tongda Xu, Jack Langerman, William Das, Chuiyu Wang, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang

Dataset, July, 2021

HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning.

Baocheng Sun, Meng Gu, Dailan He, Tongda Xu, Yan Wang, Hongwei Qin

CoRR, 2021

2020

Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes.

Tongda Xu, Ziming Qiu, William Das, Chuiyu Wang, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes.

Tongda Xu, Ziming Qiu, William Das, Chuiyu Wang, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang

CoRR, 2019

Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method.

Tongda Xu, Xiyan Cai, Yao Wang, Xiuyuan Wang, Sohae Chung, Els Fieremans, Joseph Rath, Steven Flanagan, Yvonne W. Lui

CoRR, 2019

2018

Mindgame: Mediating People's EEG Alpha Band Power through Reinforcement Learning.

Tongda Xu, Dinglu Wang, Xiaohui You

Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology Adjunct Proceedings, 2018