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Luming Liang
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2020 – today
- 2024
- [c11]Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang:
DREAM: Diffusion Rectification and Estimation-Adaptive Models. CVPR 2024: 8342-8351 - [c10]Haidong Zhu, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang:
CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering. ECCV (6) 2024: 71-89 - [i22]Guangzhi Wang, Tianyi Chen, Kamran Ghasedi, HsiangTao Wu, Tianyu Ding, Chris Nuesmeyer, Ilya Zharkov, Mohan S. Kankanhalli, Luming Liang:
S3Editor: A Sparse Semantic-Disentangled Self-Training Framework for Face Video Editing. CoRR abs/2404.08111 (2024) - [i21]Tianyu Ding, Jinxin Zhou, Tianyi Chen, Zhihui Zhu, Ilya Zharkov, Luming Liang:
AdaContour: Adaptive Contour Descriptor with Hierarchical Representation. CoRR abs/2404.08292 (2024) - [i20]Pratheba Selvaraju, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Luming Liang:
FORA: Fast-Forward Caching in Diffusion Transformer Acceleration. CoRR abs/2407.01425 (2024) - [i19]Zhixiang Guo, Xinming Wu, Luming Liang, Hanlin Sheng, Nuo Chen, Zhengfa Bi:
Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis. CoRR abs/2408.12396 (2024) - [i18]Hang Gao, Xinming Wu, Luming Liang, Hanlin Sheng, Xu Si, Gao Hui, Yaxing Li:
A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys. CoRR abs/2409.04962 (2024) - [i17]Tianyi Chen, Xiaoyi Qu, David Aponte, Colby R. Banbury, Jongwoo Ko, Tianyu Ding, Yong Ma, Vladimir Lyapunov, Ilya Zharkov, Luming Liang:
HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning. CoRR abs/2409.09085 (2024) - 2023
- [j16]Qiqi Ding, Peng Li, Xuefeng Yan, Ding Shi, Luming Liang, Weiming Wang, Haoran Xie, Jonathan Li, Mingqiang Wei:
CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather With a High-Quality Real Snow Dataset. IEEE Trans. Intell. Transp. Syst. 24(10): 10749-10759 (2023) - [c9]Yiqi Zhong, Luming Liang, Ilya Zharkov, Ulrich Neumann:
MMVP: Motion-Matrix-based Video Prediction. ICCV 2023: 4250-4260 - [c8]Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov:
OTOv2: Automatic, Generic, User-Friendly. ICLR 2023 - [i16]Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov:
OTOV2: Automatic, Generic, User-Friendly. CoRR abs/2303.06862 (2023) - [i15]Tianyi Chen, Luming Liang, Tianyu Ding, Ilya Zharkov:
Towards Automatic Neural Architecture Search within General Super-Networks. CoRR abs/2305.18030 (2023) - [i14]Yiqi Zhong, Luming Liang, Ilya Zharkov, Ulrich Neumann:
MMVP: Motion-Matrix-based Video Prediction. CoRR abs/2308.16154 (2023) - [i13]Tianyi Chen, Tianyu Ding, Badal Yadav, Ilya Zharkov, Luming Liang:
LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery. CoRR abs/2310.18356 (2023) - [i12]Haidong Zhu, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang:
CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering. CoRR abs/2311.15510 (2023) - [i11]Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang:
DREAM: Diffusion Rectification and Estimation-Adaptive Models. CoRR abs/2312.00210 (2023) - [i10]Tianyu Ding, Tianyi Chen, Haidong Zhu, Jiachen Jiang, Yiqi Zhong, Jinxin Zhou, Guangzhi Wang, Zhihui Zhu, Ilya Zharkov, Luming Liang:
The Efficiency Spectrum of Large Language Models: An Algorithmic Survey. CoRR abs/2312.00678 (2023) - [i9]Tianyi Chen, Tianyu Ding, Zhihui Zhu, Zeyu Chen, HsiangTao Wu, Ilya Zharkov, Luming Liang:
OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators. CoRR abs/2312.09411 (2023) - 2022
- [j15]Shu Chen, Luming Liang, Jianquan Ouyang:
Accurate structure from motion using consistent cluster merging. Multim. Tools Appl. 81(17): 24913-24935 (2022) - [j14]Zhicheng Geng, Yangkang Chen, Sergey Fomel, Luming Liang:
LOUD: Local Orthogonalization-Constrained Unsupervised Deep-Learning Denoiser. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [c7]Zhicheng Geng, Luming Liang, Tianyu Ding, Ilya Zharkov:
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution. CVPR 2022: 17420-17430 - [i8]Zhicheng Geng, Luming Liang, Tianyu Ding, Ilya Zharkov:
RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution. CoRR abs/2203.14186 (2022) - [i7]Qiqi Ding, Peng Li, Xuefeng Yan, Ding Shi, Luming Liang, Weiming Wang, Haoran Xie, Jonathan Li, Mingqiang Wei:
CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather with a High-quality Real Snow Dataset. CoRR abs/2206.01381 (2022) - [i6]Tianyu Ding, Luming Liang, Zhihui Zhu, Tianyi Chen, Ilya Zharkov:
Sparsity-guided Network Design for Frame Interpolation. CoRR abs/2209.04551 (2022) - 2021
- [j13]Luming Liang, Seng Deng, Lionel Gueguen, Mingqiang Wei, Xinming Wu, Jing Qin:
Convolutional neural network with median layers for denoising salt-and-pepper contaminations. Neurocomputing 442: 26-35 (2021) - [c6]Luming Liang, Ilya Zharkov, Faezeh Amjadi, Hamid Reza Vaezi Joze, Vivek Pradeep:
Guidance Network With Staged Learning for Image Enhancement. CVPR Workshops 2021: 836-845 - [c5]Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov:
CDFI: Compression-Driven Network Design for Frame Interpolation. CVPR 2021: 8001-8011 - [c4]Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu:
Only Train Once: A One-Shot Neural Network Training And Pruning Framework. NeurIPS 2021: 19637-19651 - [i5]Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov:
CDFI: Compression-Driven Network Design for Frame Interpolation. CoRR abs/2103.10559 (2021) - [i4]Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu:
Only Train Once: A One-Shot Neural Network Training And Pruning Framework. CoRR abs/2107.07467 (2021) - 2020
- [j12]Shu Chen, Luming Liang, Jianquan Ouyang, Yuan Yuan:
Accurate 3D motion tracking by combining image alignment and feature matching. Multim. Tools Appl. 79(29-30): 21325-21343 (2020) - [c3]Hamid Reza Vaezi Joze, Ilya Zharkov, Karlton Powell, Carl Ringler, Luming Liang, Andy Roulston, Moshe Lutz, Vivek Pradeep:
ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig. CVPR Workshops 2020: 2190-2200 - [c2]Sen Deng, Mingqiang Wei, Jun Wang, Yidan Feng, Luming Liang, Haoran Xie, Fu Lee Wang, Meng Wang:
Detail-recovery Image Deraining via Context Aggregation Networks. CVPR 2020: 14548-14557 - [i3]Hamid Reza Vaezi Joze, Ilya Zharkov, Karlton Powell, Carl Ringler, Luming Liang, Andy Roulston, Moshe Lutz, Vivek Pradeep:
ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig. CoRR abs/2004.08513 (2020)
2010 – 2019
- 2019
- [j11]Xinming Wu, Yunzhi Shi, Sergey Fomel, Luming Liang, Qie Zhang, Anar Z. Yusifov:
FaultNet3D: Predicting Fault Probabilities, Strikes, and Dips With a Single Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. 57(11): 9138-9155 (2019) - [i2]Luming Liang, Sen Deng, Lionel Gueguen, Mingqiang Wei, Xinming Wu, Jing Qin:
Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations. CoRR abs/1908.06452 (2019) - [i1]Sen Deng, Mingqiang Wei, Jun Wang, Luming Liang, Haoran Xie, Meng Wang:
DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks. CoRR abs/1908.10267 (2019) - 2018
- [j10]Mingqiang Wei, Qiong Wang, Yichen Li, Wai-Man Pang, Luming Liang, Jun Wang, Kelvin Kian Loong Wong, Derek Abbott, Jing Qin, Jianhuang Wu:
Centerline Extraction of Vasculature Mesh. IEEE Access 6: 10257-10268 (2018) - [j9]Luming Liang, Zeze Zhang:
Corrections to "Image Interpolation by Blending Kernels". IEEE Signal Process. Lett. 25(7): 1114 (2018) - 2017
- [j8]Wei Chen, Luming Liang, Yuelong Zhao, Shu Chen:
Three-dimensional object tracking based on perspective scale invariant feature transform correspondences. J. Electronic Imaging 26(3): 33022 (2017) - [j7]Mingqiang Wei, Luming Liang, Wai-Man Pang, Jun Wang, Weishi Li, Huisi Wu:
Tensor Voting Guided Mesh Denoising. IEEE Trans Autom. Sci. Eng. 14(2): 931-945 (2017) - 2016
- [j6]Shu Chen, Luming Liang, Wenzhang Liang, Hassan Foroosh:
3D Pose Tracking With Multitemplate Warping and SIFT Correspondences. IEEE Trans. Circuits Syst. Video Technol. 26(11): 2043-2055 (2016) - [j5]Luming Liang, Mingqiang Wei, Andrzej Szymczak, Wai-Man Pang, Meng Wang:
Spin Contour. IEEE Trans. Multim. 18(11): 2282-2292 (2016) - 2015
- [j4]Luming Liang, Andrzej Szymczak, Mingqiang Wei:
Geodesic spin contour for partial near-isometric matching. Comput. Graph. 46: 156-171 (2015) - 2010
- [j3]Luming Liang, Huanxi Zhao:
The generation of circular arcs and conics by subdivision via averaging normal vectors. Int. J. Comput. Math. 87(10): 2226-2234 (2010)
2000 – 2009
- 2009
- [c1]Huanxi Zhao, Xia Qiu, Luming Liang, Chuan Sun, Beiji Zou:
Curvature normal vector driven interpolatory subdivision. Shape Modeling International 2009: 119-125 - 2008
- [j2]Luming Liang, Huanxi Zhao, Beiji Zou:
A note on the paper "Normal based subdivision scheme for curve design" by Xunnian Yang. Comput. Aided Geom. Des. 25(8): 700-704 (2008) - [j1]Luming Liang:
Image Interpolation by Blending Kernels. IEEE Signal Process. Lett. 15: 805-808 (2008)
Coauthor Index
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last updated on 2024-11-25 22:48 CET by the dblp team
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