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Tongda Xu
Tongda Xu
Phd candidate, Tsinghua University
Verified email at air.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Po-elic: Perception-oriented efficient learned image coding
D He, Z Yang, H Yu, T Xu, J Luo, Y Chen, C Gao, X Shi, H Qin, Y Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
172022
Flexible neural image compression via code editing
C Gao, T Xu, D He, Y Wang, H Qin
Advances in Neural Information Processing Systems 35, 12184-12196, 2022
162022
A deep learning approach for segmentation, classification, and visualization of 3-D high-frequency ultrasound images of mouse embryos
Z Qiu, T Xu, J Langerman, W Das, C Wang, N Nair, O Aristizábal, ...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control 68 …, 2021
112021
Deep mouse: An end-to-end auto-context refinement framework for brain ventricle & body segmentation in embryonic mice ultrasound volumes
T Xu, Z Qiu, W Das, C Wang, J Langerman, N Nair, O Aristizábal, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 122-126, 2020
92020
EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection
Z Wang, S Fan, X Huo, T Xu, Y Wang, J Liu, Y Chen, YQ Zhang
arXiv preprint arXiv:2402.15272, 2024
7*2024
Bit allocation using optimization
T Xu, H Gao, C Gao, Y Wang, D He, J Pi, J Luo, Z Zhu, M Ye, H Qin, ...
International Conference on Machine Learning, 38377-38399, 2023
52023
Hlic: Harmonizing optimization metrics in learned image compression by reinforcement learning
B Sun, M Gu, D He, T Xu, Y Wang, H Qin
arXiv preprint arXiv:2109.14863, 2021
42021
MindGame: Mediating people's EEG alpha band power through reinforcement learning
T Xu, D Wang, X You
Adjunct Proceedings of the 31st Annual ACM Symposium on User Interface …, 2018
42018
Geneformer: Learned gene compression using transformer-based context modeling
Z Cui, T Xu, J Wang, Y Liao, Y Wang
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
32024
’An Evolving Built Environment Prototype’
T Xu, D Wang, M Yang, X You, W Huang
Learning, Adapting and Prototyping: Proceedings of the 23rd CAADRIA …, 2018
32018
Multi-sample training for neural image compression
T Xu, Y Wang, D He, C Gao, H Gao, K Liu, H Qin
Advances in Neural Information Processing Systems 35, 1502-1515, 2022
22022
Scanner independent deep learning-based segmentation framework applied to mouse embryos
O Aristizabal, DH Turnbull, JA Ketterling, Y Wang, Z Qiu, T Xu, H Goldman, ...
2020 IEEE International Ultrasonics Symposium (IUS), 1-4, 2020
22020
Boosting Neural Representations for Videos with a Conditional Decoder
X Zhang, R Yang, D He, X Ge, T Xu, Y Wang, H Qin, J Zhang
arXiv preprint arXiv:2402.18152, 2024
12024
Idempotent Learned Image Compression with Right-Inverse
Y Li, T Xu, Y Wang, J Liu, YQ Zhang
Advances in Neural Information Processing Systems 36, 2024
12024
Unified learning-based lossy and lossless jpeg recompression
J Zhang, Y Wang, L Guo, J Luo, T Xu, Y Wang, Z Wang, H Qin
2023 IEEE International Conference on Image Processing (ICIP), 216-220, 2023
12023
Conditional Perceptual Quality Preserving Image Compression
T Xu, Q Zhang, Y Li, D He, Z Wang, Y Wang, H Qin, Y Wang, J Liu, ...
arXiv preprint arXiv:2308.08154, 2023
12023
MIXLIC: Mixing Global and Local Context Model for learned Image Compression
H Ruan, F Wang, T Xu, Z Tan, Y Wang
2023 IEEE International Conference on Multimedia and Expo (ICME), 684-689, 2023
12023
Your Camera Improves Your Point Cloud Compression
Y Lin, T Xu, Z Zhu, Y Li, Z Wang, Y Wang
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
12023
Correcting the Sub-optimal Bit Allocation
T Xu, H Gao, Y Wang, H Qin, Y Wang, J Liu, YQ Zhang
12022
Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method
T Xu, X Cai, Y Wang, X Wang, S Chung, E Fieremans, J Rath, S Flanagan, ...
2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-6, 2019
12019
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