A note on the paper "Normal based subdivision scheme for curve design" by Xunnian Yang. - Luming Liang; Huanxi Zhao; Beiji Zou 001 (Comput. Aided Geom. Des., 2008)

Image Interpolation by Blending Kernels. - Luming Liang (IEEE Signal Process. Lett., 2008)

Curvature normal vector driven interpolatory subdivision. - Huanxi Zhao; Xia Qiu; Luming Liang; Chuan Sun; Beiji Zou 001 (Shape Modeling International, 2009)

The generation of circular arcs and conics by subdivision via averaging normal vectors. - Luming Liang; Huanxi Zhao (Int. J. Comput. Math., 2010)

Geodesic spin contour for partial near-isometric matching. - Luming Liang; Andrzej Szymczak; Mingqiang Wei (Comput. Graph., 2015)

3D Pose Tracking With Multitemplate Warping and SIFT Correspondences. - Shu Chen; Luming Liang; Wenzhang Liang; Hassan Foroosh (IEEE Trans. Circuits Syst. Video Technol., 2016)

Spin Contour. - Luming Liang; Mingqiang Wei; Andrzej Szymczak; Wai-Man Pang; Meng Wang 001 (IEEE Trans. Multim., 2016)

Three-dimensional object tracking based on perspective scale invariant feature transform correspondences. - Wei Chen; Luming Liang; Yuelong Zhao; Shu Chen (J. Electronic Imaging, 2017)

Tensor Voting Guided Mesh Denoising. - Mingqiang Wei; Luming Liang; Wai-Man Pang; Jun Wang 039; Weishi Li; Huisi Wu (IEEE Trans Autom. Sci. Eng., 2017)

Centerline Extraction of Vasculature Mesh. - Mingqiang Wei; Qiong Wang 001; Yichen Li 001; Wai-Man Pang; Luming Liang; Jun Wang 039; Kelvin Kian Loong Wong; Derek Abbott; Jing Qin 001; Jianhuang Wu (IEEE Access, 2018)

Corrections to "Image Interpolation by Blending Kernels". - Luming Liang; Zeze Zhang (IEEE Signal Process. Lett., 2018)

Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations. - Luming Liang; Sen Deng; Lionel Gueguen; Mingqiang Wei; Xinming Wu; Jing Qin 001 (CoRR, 2019)

DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks. - Sen Deng; Mingqiang Wei; Jun Wang 039; Luming Liang; Haoran Xie 001; Meng Wang 001 (CoRR, 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)

Detail-recovery Image Deraining via Context Aggregation Networks. - Sen Deng; Mingqiang Wei; Jun Wang 039; Yidan Feng; Luming Liang; Haoran Xie 001; Fu Lee Wang; Meng Wang 001 (CVPR, 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 (CVPR Workshops, 2020)

Accurate 3D motion tracking by combining image alignment and feature matching. - Shu Chen; Luming Liang; Jianquan Ouyang; Yuan Yuan (Multim. Tools Appl., 2020)

CDFI: Compression-Driven Network Design for Frame Interpolation. - Tianyu Ding; Luming Liang; Zhihui Zhu; Ilya Zharkov (CVPR, 2021)

Guidance Network With Staged Learning for Image Enhancement. - Luming Liang; Ilya Zharkov; Faezeh Amjadi; Hamid Reza Vaezi Joze; Vivek Pradeep (CVPR Workshops, 2021)

Only Train Once: A One-Shot Neural Network Training And Pruning Framework. - Tianyi Chen; Bo Ji 003; Tianyu Ding; Biyi Fang; Guanyi Wang; Zhihui Zhu; Luming Liang; Yixin Shi; Sheng Yi; Xiao Tu (NeurIPS, 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 001 (Neurocomputing, 2021)

RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution. - Zhicheng Geng; Luming Liang; Tianyu Ding; Ilya Zharkov (CVPR, 2022)

Sparsity-guided Network Design for Frame Interpolation. - Tianyu Ding; Luming Liang; Zhihui Zhu; Tianyi Chen; Ilya Zharkov (CoRR, 2022)

Accurate structure from motion using consistent cluster merging. - Shu Chen; Luming Liang; Jianquan Ouyang (Multim. Tools Appl., 2022)

LOUD: Local Orthogonalization-Constrained Unsupervised Deep-Learning Denoiser. - Zhicheng Geng; Yangkang Chen; Sergey Fomel; Luming Liang (IEEE Trans. Geosci. Remote. Sens., 2022)

MMVP: Motion-Matrix-based Video Prediction. - Yiqi Zhong; Luming Liang; Ilya Zharkov; Ulrich Neumann (ICCV, 2023)

OTOv2: Automatic, Generic, User-Friendly. - Tianyi Chen; Luming Liang; Tianyu Ding; Zhihui Zhu; Ilya Zharkov (ICLR, 2023)

Towards Automatic Neural Architecture Search within General Super-Networks. - Tianyi Chen; Luming Liang; Tianyu Ding; Ilya Zharkov (CoRR, 2023)

LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery. - Tianyi Chen; Tianyu Ding; Badal Yadav; 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)

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)

CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather With a High-Quality Real Snow Dataset. - Qiqi Ding; Peng Li 064; Xuefeng Yan; Ding Shi; Luming Liang; Weiming Wang 002; Haoran Xie 001; Jonathan Li 001; Mingqiang Wei (IEEE Trans. Intell. Transp. Syst., 2023)

DREAM: Diffusion Rectification and Estimation-Adaptive Models. - Jinxin Zhou; Tianyu Ding; Tianyi Chen; Jiachen Jiang; Ilya Zharkov; Zhihui Zhu; Luming Liang (CVPR, 2024)

CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering. - Haidong Zhu; Tianyu Ding; Tianyi Chen; Ilya Zharkov; Ram Nevatia; Luming Liang (ECCV (6), 2024)

Motion Graph Unleashed: A Novel Approach to Video Prediction. - Yiqi Zhong; Luming Liang; Bohan Tang; Ilya Zharkov; Ulrich Neumann (NeurIPS, 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)

AdaContour: Adaptive Contour Descriptor with Hierarchical Representation. - Tianyu Ding; Jinxin Zhou; Tianyi Chen; Zhihui Zhu; Ilya Zharkov; Luming Liang (CoRR, 2024)

FORA: Fast-Forward Caching in Diffusion Transformer Acceleration. - Pratheba Selvaraju; Tianyu Ding; Tianyi Chen; Ilya Zharkov; Luming Liang (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)

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)

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)

Kernel Prediction Network for Offset Domain Common Image Gather Flattening and Correction. - Ziang Li; Xinming Wu; Peimin Zhu; Luming Liang; Yuhang Wang; Wei Cai; Hao Zhang 116; Zhiying Liao (IEEE Trans. Geosci. Remote. Sens., 2025)

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs. - Jongwoo Ko; Tianyi Chen; Sungnyun Kim; Tianyu Ding; Luming Liang; Ilya Zharkov; Se-Young Yun (CoRR, 2025)

Cat-AIR: Content and Task-Aware All-in-One Image Restoration. - Jiachen Jiang; Tianyu Ding; Ke Zhang; Jinxin Zhou; Tianyi Chen; Ilya Zharkov; Zhihui Zhu; Luming Liang (CoRR, 2025)

WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference. - Sihan Chen; Dan Zhao; Jongwoo Ko; Colby R. Banbury; Huiping Zhuang; Luming Liang; Tianyi Chen (CoRR, 2025)

ProCrop: Learning Aesthetic Image Cropping from Professional Compositions. - Ke Zhang; Tianyu Ding; Jiachen Jiang; Tianyi Chen; Ilya Zharkov; Vishal M. Patel; Luming Liang (CoRR, 2025)

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; Hui Gao; Yaxing Li (Inf. Fusion, 2026)