Luming Liang

According to our database, Luming Liang authored at least 41 papers between 2008 and 2024.

Collaborative distances:

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

2024

Motion Graph Unleashed: A Novel Approach to Video Prediction.

Yiqi Zhong, Luming Liang, Bohan Tang, Ilya Zharkov, Ulrich Neumann

CoRR, 2024

HESSO: Towards Automatic Efficient and User Friendly Any Neural Network Training and Pruning.

Tianyi Chen, Xiaoyi Qu, David Aponte, Colby R. Banbury, Jongwoo Ko, Tianyu Ding, Yong Ma, Vladimir Lyapunov, Ilya Zharkov, Luming Liang

CoRR, 2024

A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys.

Hang Gao, Xinming Wu, Luming Liang, Hanlin Sheng, Xu Si, Gao Hui, Yaxing Li

CoRR, 2024

Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis.

Zhixiang Guo, Xinming Wu, Luming Liang, Hanlin Sheng, Nuo Chen, Zhengfa Bi

CoRR, 2024

FORA: Fast-Forward Caching in Diffusion Transformer Acceleration.

Pratheba Selvaraju, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Luming Liang

CoRR, 2024

AdaContour: Adaptive Contour Descriptor with Hierarchical Representation.

Tianyu Ding, Jinxin Zhou, Tianyi Chen, Zhihui Zhu, Ilya Zharkov, Luming Liang

CoRR, 2024

S3Editor: A Sparse Semantic-Disentangled Self-Training Framework for Face Video Editing.

Guangzhi Wang, Tianyi Chen, Kamran Ghasedi, HsiangTao Wu, Tianyu Ding, Chris Nuesmeyer, Ilya Zharkov, Mohan S. Kankanhalli, Luming Liang

CoRR, 2024

CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering.

Haidong Zhu, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang

Proceedings of the Computer Vision - ECCV 2024, 2024

DREAM: Diffusion Rectification and Estimation-Adaptive Models.

Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang

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

2023

CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather With a High-Quality Real Snow Dataset.

Qiqi Ding, Peng Li, Xuefeng Yan, Ding Shi, Luming Liang, Weiming Wang, Haoran Xie, Jonathan Li, Mingqiang Wei

IEEE Trans. Intell. Transp. Syst., October, 2023

OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators.

Tianyi Chen, Tianyu Ding, Zhihui Zhu, Zeyu Chen, HsiangTao Wu, Ilya Zharkov, Luming Liang

CoRR, 2023

The Efficiency Spectrum of Large Language Models: An Algorithmic Survey.

Tianyu Ding, Tianyi Chen, Haidong Zhu, Jiachen Jiang, Yiqi Zhong, Jinxin Zhou, Guangzhi Wang, Zhihui Zhu, Ilya Zharkov, Luming Liang

CoRR, 2023

LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery.

Tianyi Chen, Tianyu Ding, Badal Yadav, Ilya Zharkov, Luming Liang

CoRR, 2023

Towards Automatic Neural Architecture Search within General Super-Networks.

Tianyi Chen, Luming Liang, Tianyu Ding, Ilya Zharkov

CoRR, 2023

OTOv2: Automatic, Generic, User-Friendly.

Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MMVP: Motion-Matrix-based Video Prediction.

Yiqi Zhong, Luming Liang, Ilya Zharkov, Ulrich Neumann

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

LOUD: Local Orthogonalization-Constrained Unsupervised Deep-Learning Denoiser.

Zhicheng Geng, Yangkang Chen, Sergey Fomel, Luming Liang

IEEE Trans. Geosci. Remote. Sens., 2022

Accurate structure from motion using consistent cluster merging.

Shu Chen, Luming Liang, Jianquan Ouyang

Multim. Tools Appl., 2022

Sparsity-guided Network Design for Frame Interpolation.

Tianyu Ding, Luming Liang, Zhihui Zhu, Tianyi Chen, Ilya Zharkov

CoRR, 2022

RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution.

Zhicheng Geng, Luming Liang, Tianyu Ding, Ilya Zharkov

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

2021

Convolutional neural network with median layers for denoising salt-and-pepper contaminations.

Luming Liang, Seng Deng, Lionel Gueguen, Mingqiang Wei, Xinming Wu, Jing Qin

Neurocomputing, 2021

Only Train Once: A One-Shot Neural Network Training And Pruning Framework.

Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Guidance Network With Staged Learning for Image Enhancement.

Luming Liang, Ilya Zharkov, Faezeh Amjadi, Hamid Reza Vaezi Joze, Vivek Pradeep

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

CDFI: Compression-Driven Network Design for Frame Interpolation.

Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Accurate 3D motion tracking by combining image alignment and feature matching.

Shu Chen, Luming Liang, Jianquan Ouyang, Yuan Yuan

Multim. Tools Appl., 2020

ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig.

Hamid Reza Vaezi Joze, Ilya Zharkov, Karlton Powell, Carl Ringler, Luming Liang, Andy Roulston, Moshe Lutz, Vivek Pradeep

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Detail-recovery Image Deraining via Context Aggregation Networks.

Sen Deng, Mingqiang Wei, Jun Wang, Yidan Feng, Luming Liang, Haoran Xie, Fu Lee Wang, Meng Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

FaultNet3D: Predicting Fault Probabilities, Strikes, and Dips With a Single Convolutional Neural Network.

Xinming Wu, Yunzhi Shi, Sergey Fomel, Luming Liang, Qie Zhang, Anar Z. Yusifov

IEEE Trans. Geosci. Remote. Sens., 2019

DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks.

Sen Deng, Mingqiang Wei, Jun Wang, Luming Liang, Haoran Xie, Meng Wang

CoRR, 2019

Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations.

Luming Liang, Sen Deng, Lionel Gueguen, Mingqiang Wei, Xinming Wu, Jing Qin

CoRR, 2019

2018

Corrections to "Image Interpolation by Blending Kernels".

Luming Liang, Zeze Zhang

IEEE Signal Process. Lett., 2018

Centerline Extraction of Vasculature Mesh.

Mingqiang Wei, Qiong Wang, Yichen Li, Wai-Man Pang, Luming Liang, Jun Wang, Kelvin Kian Loong Wong, Derek Abbott, Jing Qin, Jianhuang Wu

IEEE Access, 2018

2017

Tensor Voting Guided Mesh Denoising.

Mingqiang Wei, Luming Liang, Wai-Man Pang, Jun Wang, Weishi Li, Huisi Wu

IEEE Trans Autom. Sci. Eng., 2017

Three-dimensional object tracking based on perspective scale invariant feature transform correspondences.

Wei Chen, Luming Liang, Yuelong Zhao, Shu Chen

J. Electronic Imaging, 2017

2016

Spin Contour.

Luming Liang, Mingqiang Wei, Andrzej Szymczak, Wai-Man Pang, Meng Wang

IEEE Trans. Multim., 2016

3D Pose Tracking With Multitemplate Warping and SIFT Correspondences.

Shu Chen, Luming Liang, Wenzhang Liang, Hassan Foroosh

IEEE Trans. Circuits Syst. Video Technol., 2016

2015

Geodesic spin contour for partial near-isometric matching.

Luming Liang, Andrzej Szymczak, Mingqiang Wei

Comput. Graph., 2015

2010

The generation of circular arcs and conics by subdivision via averaging normal vectors.

Luming Liang, Huanxi Zhao

Int. J. Comput. Math., 2010

2009

Curvature normal vector driven interpolatory subdivision.

Huanxi Zhao, Xia Qiu, Luming Liang, Chuan Sun, Beiji Zou

Proceedings of the IEEE International Conference on Shape Modeling and Applications, 2009

2008

Image Interpolation by Blending Kernels.

Luming Liang

IEEE Signal Process. Lett., 2008

A note on the paper "Normal based subdivision scheme for curve design" by Xunnian Yang.

Luming Liang, Huanxi Zhao, Beiji Zou

Comput. Aided Geom. Des., 2008