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Tongda Xu
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2020 – today
- 2024
- [c20]Xinjie Zhang, Ren Yang, Dailan He, Xingtong Ge, Tongda Xu, Yan Wang, Hongwei Qin, Jun Zhang:
Boosting Neural Representations for Videos with a Conditional Decoder. CVPR 2024: 2556-2566 - [c19]Xingtong Ge, Jixiang Luo, Xinjie Zhang, Tongda Xu, Guo Lu, Dailan He, Jing Geng, Yan Wang, Jun Zhang, Hongwei Qin:
Task-Aware Encoder Control for Deep Video Compression. CVPR 2024: 26036-26045 - [c18]Xinjie Zhang, Xingtong Ge, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin, Guo Lu, Jing Geng, Jun Zhang:
GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting. ECCV (9) 2024: 327-345 - [c17]Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu:
Bandwidth-Efficient Inference for Nerual Image Compression. ICASSP 2024: 2905-2909 - [c16]Yiqi Jin, Ziyu Zhu, Tongda Xu, Yuhuan Lin, Yan Wang:
ECM-OPCC: Efficient Context Model for Octree-Based Point Cloud Compression. ICASSP 2024: 7985-7989 - [c15]Zhanbei Cui, Tongda Xu, Jia Wang, Yu Liao, Yan Wang:
GeneFormer: Learned Gene Compression using Transformer-Based Context Modeling. ICASSP 2024: 8035-8039 - [c14]Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang:
Idempotence and Perceptual Image Compression. ICLR 2024 - [c13]Ziran Zhu, Tongda Xu, Ling Li, Yan Wang:
Noise Dimension of GAN: An Image Compression Perspective. ICME 2024: 1-6 - [c12]Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang:
EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection. ICRA 2024: 16388-16394 - [i24]Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang:
Idempotence and Perceptual Image Compression. CoRR abs/2401.08920 (2024) - [i23]Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang:
EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection. CoRR abs/2402.15272 (2024) - [i22]Xinjie Zhang, Ren Yang, Dailan He, Xingtong Ge, Tongda Xu, Yan Wang, Hongwei Qin, Jun Zhang:
Boosting Neural Representations for Videos with a Conditional Decoder. CoRR abs/2402.18152 (2024) - [i21]Xinjie Zhang, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Jun Zhang:
Content-aware Masked Image Modeling Transformer for Stereo Image Compression. CoRR abs/2403.08505 (2024) - [i20]Xinjie Zhang, Xingtong Ge, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin, Guo Lu, Jing Geng, Jun Zhang:
GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting. CoRR abs/2403.08551 (2024) - [i19]Ziran Zhu, Tongda Xu, Ling Li, Yan Wang:
Noise Dimension of GAN: An Image Compression Perspective. CoRR abs/2403.09196 (2024) - [i18]Tongda Xu, Ziran Zhu, Dailan He, Yuanyuan Wang, Ming Sun, Ning Li, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang:
Consistency Models Improve Diffusion Inverse Solvers. CoRR abs/2403.12063 (2024) - [i17]Xingtong Ge, Jixiang Luo, Xinjie Zhang, Tongda Xu, Guo Lu, Dailan He, Jing Geng, Yan Wang, Jun Zhang, Hongwei Qin:
Task-Aware Encoder Control for Deep Video Compression. CoRR abs/2404.04848 (2024) - [i16]Xinjie Zhang, Zhening Liu, Yifan Zhang, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Zehong Lin, Shuicheng Yan, Jun Zhang:
MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes. CoRR abs/2410.13613 (2024) - 2023
- [c11]Yuhuan Lin, Tongda Xu, Ziyu Zhu, Yanghao Li, Zhe Wang, Yan Wang:
Your Camera Improves Your Point Cloud Compression. ICASSP 2023: 1-5 - [c10]Jianghui Zhang, Yuanyuan Wang, Lina Guo, Jixiang Luo, Tongda Xu, Yan Wang, Zhi Wang, Hongwei Qin:
Unified Learning-Based Lossy and Lossless Jpeg Recompression. ICIP 2023: 216-220 - [c9]Haihang Ruan, Feng Wang, Tongda Xu, Zhiyong Tan, Yan Wang:
MIXLIC: Mixing Global and Local Context Model for learned Image Compression. ICME 2023: 684-689 - [c8]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:
Bit Allocation using Optimization. ICML 2023: 38377-38399 - [c7]Yanghao Li, Tongda Xu, Yan Wang, Jingjing Liu, Ya-Qin Zhang:
Idempotent Learned Image Compression with Right-Inverse. NeurIPS 2023 - [i15]Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang:
VIMI: Vehicle-Infrastructure Multi-view Intermediate Fusion for Camera-based 3D Object Detection. CoRR abs/2303.10975 (2023) - [i14]Qian Zhang, Tongda Xu, Yanghao Li, Yan Wang:
Evaluating Strong Idempotence of Image Codec. CoRR abs/2304.08269 (2023) - [i13]Tongda Xu, Qian Zhang, Yanghao Li, Dailan He, Zhe Wang, Yuanyuan Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang:
Conditional Perceptual Quality Preserving Image Compression. CoRR abs/2308.08154 (2023) - [i12]Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu:
Bandwidth-efficient Inference for Neural Image Compression. CoRR abs/2309.02855 (2023) - [i11]Jianghui Zhang, Yuanyuan Wang, Lina Guo, Jixiang Luo, Tongda Xu, Yan Wang, Zhi Wang, Hongwei Qin:
Unified learning-based lossy and lossless JPEG recompression. CoRR abs/2312.02705 (2023) - 2022
- [c6]Dailan He, Ziming Yang, Hongjiu Yu, Tongda Xu, Jixiang Luo, Yuan Chen, Chenjian Gao, Xinjie Shi, Hongwei Qin, Yan Wang:
PO-ELIC: Perception-Oriented Efficient Learned Image Coding. CVPR Workshops 2022: 1763-1768 - [c5]Tongda Xu, Yifan Shao, Yan Wang, Hongwei Qin:
Spatial Moment Pooling Improves Neural Image Assessment. ICIP 2022: 271-275 - [c4]Chenjian Gao, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin:
Flexible Neural Image Compression via Code Editing. NeurIPS 2022 - [c3]Tongda Xu, Yan Wang, Dailan He, Chenjian Gao, Han Gao, Kunzan Liu, Hongwei Qin:
Multi-Sample Training for Neural Image Compression. NeurIPS 2022 - [i10]Chenjian Gao, Tongda Xu, Dailan He, Hongwei Qin, Yan Wang:
Flexible Neural Image Compression via Code Editing. CoRR abs/2209.09244 (2022) - [i9]Tongda Xu, Han Gao, Chenjian Gao, Jinyong Pi, Yanghao Li, Yuanyuan Wang, Ziyu Zhu, Dailan He, Mao Ye, Hongwei Qin, Yan Wang:
Bit Allocation using Optimization. CoRR abs/2209.09422 (2022) - [i8]Tongda Xu, Yan Wang, Dailan He, Chenjian Gao, Han Gao, Kunzan Liu, Hongwei Qin:
Multi-Sample Training for Neural Image Compression. CoRR abs/2209.13834 (2022) - [i7]Tongda Xu, Han Gao, Yuanyuan Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang:
Correcting the Sub-optimal Bit Allocation. CoRR abs/2209.14575 (2022) - [i6]Tongda Xu, Yifan Shao, Yan Wang, Hongwei Qin:
Spatial Moment Pooling Improves Neural Image Assessment. CoRR abs/2209.14583 (2022) - [i5]Yiqi Jin, Ziyu Zhu, Tongda Xu, Yuhuan Lin, Yan Wang:
ECM-OPCC: Efficient Context Model for Octree-based Point Cloud Compression. CoRR abs/2211.10916 (2022) - [i4]Zhanbei Cui, Yu Liao, Tongda Xu, Yan Wang:
GeneFormer: Learned Gene Compression using Transformer-based Context Modeling. CoRR abs/2212.08379 (2022) - 2021
- [d1]Ziming Qiu, Tongda Xu, Jack Langerman, William Das, Chuiyu Wang, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang:
Ultrasound Mouse Embryo Segmentation and Classification. IEEE DataPort, 2021 - [i3]Baocheng Sun, Meng Gu, Dailan He, Tongda Xu, Yan Wang, Hongwei Qin:
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning. CoRR abs/2109.14863 (2021) - 2020
- [c2]Tongda Xu, Ziming Qiu, William Das, Chuiyu Wang, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang:
Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes. ISBI 2020: 122-126
2010 – 2019
- 2019
- [i2]Tongda Xu, Xiyan Cai, Yao Wang, Xiuyuan Wang, Sohae Chung, Els Fieremans, Joseph Rath, Steven Flanagan, Yvonne W. Lui:
Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method. CoRR abs/1908.04752 (2019) - [i1]Tongda Xu, Ziming Qiu, William Das, Chuiyu Wang, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang:
Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes. CoRR abs/1910.09061 (2019) - 2018
- [c1]Tongda Xu, Dinglu Wang, Xiaohui You:
Mindgame: Mediating People's EEG Alpha Band Power through Reinforcement Learning. UIST (Adjunct Volume) 2018: 5-6
Coauthor Index
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last updated on 2024-11-28 21:30 CET by the dblp team
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