Fast multi-frame image super-resolution based on MRF. - Longguang Wang; Zaiping Lin; Xinpu Deng; Wei An (CoRR, 2017)

Fast single image super-resolution based on sigmoid transformation. - Longguang Wang; Zaiping Lin; Jinyan Gao; Xinpu Deng; Wei An (CoRR, 2017)

Learning for Video Super-Resolution Through HR Optical Flow Estimation. - Longguang Wang; Yulan Guo; Zaiping Lin; Xinpu Deng; Wei An (ACCV (1), 2018)

Learning Parallax Attention for Stereo Image Super-Resolution. - Longguang Wang; Yingqian Wang 002; Zhengfa Liang; Zaiping Lin; Jun-Gang Yang; Wei An; Yulan Guo (CVPR, 2019)

Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution. - Yingqian Wang 002; Longguang Wang; Jun-Gang Yang; Wei An; Yulan Guo (ICCV Workshops, 2019)

Flickr1024: A Dataset for Stereo Image Super-Resolution. - Yingqian Wang 002; Longguang Wang; Jungang Yang 001; Wei An; Yulan Guo (CoRR, 2019)

Spatial-Angular Interaction for Light Field Image Super-Resolution. - Yingqian Wang 002; Longguang Wang; Jun-Gang Yang; Wei An; Jingyi Yu; Yulan Guo (ECCV (23), 2020)

DeOccNet: Learning to See Through Foreground Occlusions in Light Fields. - Yingqian Wang 002; Tianhao Wu; Jun-Gang Yang; Longguang Wang; Wei An; Yulan Guo (WACV, 2020)

Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks. - Longguang Wang; Yingqian Wang 002; Zaiping Lin; Jun-Gang Yang; Wei An; Yulan Guo (CoRR, 2020)

Learning Sparse Masks for Efficient Image Super-Resolution. - Longguang Wang; Xiaoyu Dong; Yingqian Wang 002; Xinyi Ying; Zaiping Lin; Wei An; Yulan Guo (CoRR, 2020)

A Stereo Attention Module for Stereo Image Super-Resolution. - Xinyi Ying; Yingqian Wang 002; Longguang Wang; Weidong Sheng; Wei An; Yulan Guo (IEEE Signal Process. Lett., 2020)

Deformable 3D Convolution for Video Super-Resolution. - Xinyi Ying; Longguang Wang; Yingqian Wang 002; Weidong Sheng; Wei An; Yulan Guo (IEEE Signal Process. Lett., 2020)

Deep Video Super-Resolution Using HR Optical Flow Estimation. - Longguang Wang; Yulan Guo; Li Liu 002; Zaiping Lin; Xinpu Deng; Wei An (IEEE Trans. Image Process., 2020)

Exploring Sparsity in Image Super-Resolution for Efficient Inference. - Longguang Wang; Xiaoyu Dong; Yingqian Wang 002; Xinyi Ying; Zaiping Lin; Wei An; Yulan Guo (CVPR, 2021)

Unsupervised Degradation Representation Learning for Blind Super-Resolution. - Longguang Wang; Yingqian Wang 002; Xiaoyu Dong; Qingyu Xu; Jungang Yang 001; Wei An; Yulan Guo (CVPR, 2021)

Symmetric Parallax Attention for Stereo Image Super-Resolution. - Yingqian Wang 002; Xinyi Ying; Longguang Wang; Jungang Yang 001; Wei An; Yulan Guo (CVPR Workshops, 2021)

Personalized QoE Optimization with Edge-Aided Video Enhancement Services. - Hanlong Liao; Guoming Tang; Teng Liang; Longguang Wang; Deke Guo (HPCC/DSS/SmartCity/DependSys, 2021)

Learning A Single Network for Scale-Arbitrary Super-Resolution. - Longguang Wang; Yingqian Wang 002; Zaiping Lin; Jungang Yang 001; Wei An; Yulan Guo (ICCV, 2021)

Deep Bilateral Learning for Stereo Image Super-Resolution. - Qingyu Xu; Longguang Wang; Yingqian Wang 002; Weidong Sheng; Xinpu Deng (IEEE Signal Process. Lett., 2021)

Remote Sensing Image Super-Resolution Using Second-Order Multi-Scale Networks. - Xiaoyu Dong; Longguang Wang; Xu Sun 005; Xiuping Jia; Lianru Gao; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Light Field Image Super-Resolution Using Deformable Convolution. - Yingqian Wang 002; Jun-Gang Yang; Longguang Wang; Xinyi Ying; Tianhao Wu; Wei An; Yulan Guo (IEEE Trans. Image Process., 2021)

Occlusion-Aware Cost Constructor for Light Field Depth Estimation. - Yingqian Wang 002; Longguang Wang; Zhengyu Liang; Jun-Gang Yang; Wei An; Yulan Guo (CVPR, 2022)

Decoupling Makes Weakly Supervised Local Feature Better. - Kunhong Li 001; Longguang Wang; Li Liu 002; Qing Ran; Kai Xu 004; Yulan Guo (CVPR, 2022)

Learnable Lookup Table for Neural Network Quantization. - Longguang Wang; Xiaoyu Dong; Yingqian Wang 002; Li Liu 002; Wei An; Yulan Guo (CVPR, 2022)

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Juncheng Li 003; Shuhang Gu; Radu Timofte; Liangyu Chen 002; Xiaojie Chu; Wenqing Yu; Kai Jin; Zeqiang Wei; Sha Guo; et al. (CVPR Workshops, 2022)

Learning Mutual Modulation for Self-supervised Cross-Modal Super-Resolution. - Xiaoyu Dong; Naoto Yokoya; Longguang Wang; Tatsumi Uezato (ECCV (19), 2022)

Light Field Angular Super-Resolution via Dense Correspondence Field Reconstruction. - Yu Mo; Yingqian Wang 002; Longguang Wang; Jun-Gang Yang; Wei An (ECCV Workshops (2), 2022)

MoCoPnet: Exploring Local Motion and Contrast Priors for Infrared Small Target Super-Resolution. - Xinyi Ying; Yingqian Wang 002; Longguang Wang; Weidong Sheng; Li Liu 002; Zaiping Lin; Shilin Zhou 001 (CoRR, 2022)

NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Juncheng Li 003; Shuhang Gu; Radu Timofte (CoRR, 2022)

Learning a Degradation-Adaptive Network for Light Field Image Super-Resolution. - Yingqian Wang 002; Zhengyu Liang; Longguang Wang; Jun-Gang Yang; Wei An; Yulan Guo (CoRR, 2022)

IF-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer. - Ye Zhang; Longguang Wang; Huiling Chen; Aosheng Tian; Shilin Zhou 001; Yulan Guo (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Parallax Attention for Unsupervised Stereo Correspondence Learning. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Zhengfa Liang; Zaiping Lin; Jungang Yang 001; Wei An (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

SPNet: Learning Stereo Matching With Slanted Plane Aggregation. - Yun Wang; Longguang Wang; Hanyun Wang; Yulan Guo (IEEE Robotics Autom. Lett., 2022)

SLFNet: A Stereo and LiDAR Fusion Network for Depth Completion. - Yongjian Zhang; Longguang Wang; Kunhong Li 001; Zhiheng Fu; Yulan Guo (IEEE Robotics Autom. Lett., 2022)

Light Field Image Super-Resolution With Transformers. - Zhengyu Liang; Yingqian Wang 002; Longguang Wang; Jun-Gang Yang; Shilin Zhou 001 (IEEE Signal Process. Lett., 2022)

Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Superresolution. - Xinyi Ying; Yingqian Wang 002; Longguang Wang; Weidong Sheng; Li Liu 002; Zaiping Lin; Shilin Zhou 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Gated Recurrent Multiattention Network for VHR Remote Sensing Image Classification. - Boyang Li 007; Yulan Guo; Jun-Gang Yang; Longguang Wang; Yingqian Wang 002; Wei An (IEEE Trans. Geosci. Remote. Sens., 2022)

PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos. - Zhiqiang Shen; Xiaoxiao Sheng; Longguang Wang; Yulan Guo; Qiong Liu; Xi Zhou (CVPR, 2023)

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Juncheng Li 003; Shuhang Gu; Radu Timofte; Ming Cheng 002; Haoyu Ma; Qiufang Ma; Xiaopeng Sun; Shijie Zhao 001; Xuhan Sheng; et al. (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results. - Yingqian Wang 002; Longguang Wang; Zhengyu Liang; Jungang Yang 001; Radu Timofte; Yulan Guo; Kai Jin; Zeqiang Wei; Angulia Yang; Sha Guo; Mingzhi Gao; Xiuzhuang Zhou; et al. (CVPR Workshops, 2023)

VAPCNet: Viewpoint-Aware 3D Point Cloud Completion. - Zhiheng Fu; Longguang Wang; Lian Xu; Zhiyong Wang 001; Hamid Laga; Yulan Guo; Farid Boussaïd; Mohammed Bennamoun (ICCV, 2023)

Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection. - Boyang Li 007; Yingqian Wang 002; Longguang Wang; Fei Zhang 016; Ting Liu 017; Zaiping Lin; Wei An; Yulan Guo (ICCV, 2023)

Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution. - Zhengyu Liang; Yingqian Wang 002; Longguang Wang; Jungang Yang 001; Shilin Zhou 001; Yulan Guo (ICCV, 2023)

Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos. - Zhiqiang Shen; Xiaoxiao Sheng; Hehe Fan; Longguang Wang; Yulan Guo; Qiong Liu; Hao Wen; Xi Zhou (ICCV, 2023)

Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos. - Xiaoxiao Sheng; Zhiqiang Shen; Gang Xiao 002; Longguang Wang; Yulan Guo; Hehe Fan (ICCV, 2023)

NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results. - Yingqian Wang 002; Longguang Wang; Zhengyu Liang; Jungang Yang 001; Radu Timofte; Yulan Guo (CoRR, 2023)

ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks. - Peng Zhao; Jiehua Zhang; Bowen Peng; Longguang Wang; Yingmei Wei; Yu Liu 012; Li Liu 002 (CoRR, 2023)

Disentangling Light Fields for Super-Resolution and Disparity Estimation. - Yingqian Wang 002; Longguang Wang; Gaochang Wu; Jungang Yang 001; Wei An; Jingyi Yu; Yulan Guo (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

HI-Net: Boosting Self-Supervised Indoor Depth Estimation via Pose Optimization. - Guanghui Wu; Kunhong Li 001; Longguang Wang; Ruizhen Hu; Yulan Guo; Zengping Chen (IEEE Robotics Autom. Lett., 2023)

Not All Patches Are Equal: Hierarchical Dataset Condensation for Single Image Super-Resolution. - Qingtang Ding; Zhengyu Liang; Longguang Wang; Yingqian Wang 002; Jungang Yang 001 (IEEE Signal Process. Lett., 2023)

RepISD-Net: Learning Efficient Infrared Small-Target Detection Network via Structural Re-Parameterization. - Shuanglin Wu; Chao Xiao; Longguang Wang; Yingqian Wang 002; Jun-Gang Yang; Wei An (IEEE Trans. Geosci. Remote. Sens., 2023)

Dense Nested Attention Network for Infrared Small Target Detection. - Boyang Li 007; Chao Xiao; Longguang Wang; Yingqian Wang 002; Zaiping Lin; Miao Li; Wei An; Yulan Guo (IEEE Trans. Image Process., 2023)

CVCNet: Learning Cost Volume Compression for Efficient Stereo Matching. - Yulan Guo; Yun Wang; Longguang Wang; Zi Wang 008; Chen Cheng (IEEE Trans. Multim., 2023)

Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference. - Longguang Wang; Yulan Guo; Xiaoyu Dong; Yingqian Wang 002; Xinyi Ying; Zaiping Lin; Wei An (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Lightweight Pixel Difference Networks for Efficient Visual Representation Learning. - Zhuo Su 002; Jiehua Zhang; Longguang Wang; Hua Zhang 008; Zhen Liu 004; Matti Pietikäinen; Li Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning scalable dynamic filter in convolutional networks. - Shuanglin Wu; Chao Xiao; Xinyi Ying; Longguang Wang; Jun-Gang Yang; Wei An (Pattern Recognit. Lett., 2023)

Pluggable Style Representation Learning for Multi-style Transfer. - Hongda Liu; Longguang Wang; Weijun Guan; Ye Zhang; Yulan Guo (ACCV (6), 2024)

LoS: Local Structure-Guided Stereo Matching. - Kunhong Li 001; Longguang Wang; Ye Zhang; Kaiwen Xue; Shunbo Zhou; Yulan Guo (CVPR, 2024)

Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution. - Longguang Wang; Juncheng Li 003; Yingqian Wang 002; Qingyong Hu; Yulan Guo (CVPR, 2024)

NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results. - Longguang Wang; Yulan Guo; Juncheng Li 003; Hongda Liu; Yang Zhao; Yingqian Wang 002; Zhi Jin; Shuhang Gu; Radu Timofte (CVPR Workshops, 2024)

NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results. - Yingqian Wang 002; Zhengyu Liang; Qianyu Chen; Longguang Wang; Jungang Yang 001; Radu Timofte; Yulan Guo; Wentao Chao; Yiming Kan; Xuechun Wang; Fuqing Duan; Guanghui Wang 001; et al. (CVPR Workshops, 2024)

Warp Consistent Neural Radiance Fields for Sparse Novel View Synthesis. - Yexing Xu; Minglin Chen; Longguang Wang; Ye Zhang; Yulan Guo (DICTA, 2024)

AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion. - Zhiheng Fu; Longguang Wang; Lian Xu; Zhiyong Wang 001; Hamid Laga; Yulan Guo; Farid Boussaïd; Mohammed Bennamoun (ECCV (11), 2024)

Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization. - Yukun Wang; Kunhong Li 001; Minglin Chen; Longguang Wang; Shunbo Zhou; Kaiwen Xue; Yulan Guo (ECCV (54), 2024)

Learning Representations from Foundation Models for Domain Generalized Stereo Matching. - Yongjian Zhang; Longguang Wang; Kunhong Li 001; Yun Wang; Yulan Guo (ECCV (42), 2024)

ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression. - Guangchi Fang; Qingyong Hu; Longguang Wang; Yulan Guo (ICLR, 2024)

Mask-ControlNet: Higher-Quality Image Generation with an Additional Mask Prompt. - Zhiqi Huang 005; Hui Xiong 001; Haoyu Wang 003; Longguang Wang; Zhiheng Li (ICPR (6), 2024)

Tangram-Splatting: Optimizing 3D Gaussian Splatting Through Tangram-inspired Shape Priors. - Yi Wang 095; Ningze Zhong; Minglin Chen; Longguang Wang; Yulan Guo (ACM Multimedia, 2024)

SpecDETR: A Transformer-based Hyperspectral Point Object Detection Network. - Zhaoxu Li; Wei An; Gaowei Guo; Longguang Wang; Yingqian Wang 002; Zaiping Lin (CoRR, 2024)

Preserving Full Degradation Details for Blind Image Super-Resolution. - Hongda Liu; Longguang Wang; Ye Zhang; Kaiwen Xue; Shunbo Zhou; Yulan Guo (CoRR, 2024)

Point Spatio-Temporal Pyramid Network for Point Cloud Video Understanding. - Zhiqiang Shen; Longguang Wang; Yulan Guo; Qiong Liu; Xi Zhou (IEEE Signal Process. Lett., 2024)

Mixed-Precision Network Quantization for Infrared Small Target Segmentation. - Boyang Li 007; Longguang Wang; Yingqian Wang 002; Tianhao Wu; Zaiping Lin; Miao Li; Wei An; Yulan Guo (IEEE Trans. Geosci. Remote. Sens., 2024)

Deep Semantic Graph Matching for Large-Scale Outdoor Point Cloud Registration. - Shaocong Liu; Tao Wang 075; Yan Zhang; Ruqin Zhou; Li Li 100; Chenguang Dai; Yongsheng Zhang; Longguang Wang; Hanyun Wang (IEEE Trans. Geosci. Remote. Sens., 2024)

Learning Spherical Radiance Field for Efficient 360° Unbounded Novel View Synthesis. - Minglin Chen; Longguang Wang; Yinjie Lei; Zilong Dong; Yulan Guo (IEEE Trans. Image Process., 2024)

Beyond Appearance: Multi-Frame Spatio-Temporal Context Memory Networks for Efficient and Robust Video Object Segmentation. - Jisheng Dang; Huicheng Zheng; Xiaohao Xu; Longguang Wang; Yulan Guo (IEEE Trans. Image Process., 2024)

Cost Volume Aggregation in Stereo Matching Revisited: A Disparity Classification Perspective. - Yun Wang; Longguang Wang; Kunhong Li 001; Yongjian Zhang; Dapeng Oliver Wu; Yulan Guo (IEEE Trans. Image Process., 2024)

DDAug: Differentiable Data Augmentation for Weakly Supervised Semantic Segmentation. - Boyang Li 007; Fei Zhang 016; Longguang Wang; Yingqian Wang 002; Ting Liu 017; Zaiping Lin; Wei An; Yulan Guo (IEEE Trans. Multim., 2024)

Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T Videos. - Qingyu Xu; Longguang Wang; Weidong Sheng; Yingqian Wang 002; Chao Xiao; Chao Ma 014; Wei An (IEEE Trans. Multim., 2024)

Panoptic segmentation of 3D point clouds with Gaussian mixture model in outdoor scenes. - Yizhou Wang; Longguang Wang; Qingyong Hu; Yan Liu 043; Ye Zhang; Yulan Guo (Vis. Intell., 2024)

3D Face Recognition: Two Decades of Progress and Prospects. - Yulan Guo; Hanyun Wang; Longguang Wang; Yinjie Lei; Li Liu 002; Mohammed Bennamoun (ACM Comput. Surv., 2024)

Guest Editorial: Advanced image restoration and enhancement in the wild. - Longguang Wang; Juncheng Li 003; Naoto Yokoya; Radu Timofte; Yulan Guo (IET Comput. Vis., 2024)

Self-Supervised Multi-Frame Monocular Depth Estimation for Dynamic Scenes. - Guanghui Wu; Hao Liu 061; Longguang Wang; Kunhong Li 001; Yulan Guo; Zengping Chen (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution. - Juncheng Li 003; Zehua Pei; Wenjie Li; Guangwei Gao; Longguang Wang; Yingqian Wang 002; Tieyong Zeng (ACM Comput. Surv., 2024)

Temporo-Spatial Parallel Sparse Memory Networks for Efficient Video Object Segmentation. - Jisheng Dang; Huicheng Zheng; Bimei Wang; Longguang Wang; Yulan Guo (IEEE Trans. Intell. Transp. Syst., 2024)

AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers. - Runqing Jiang; Ye Zhang; Longguang Wang; Pengpeng Yu; Yulan Guo (AAAI, 2025)

SaMam: Style-aware State Space Model for Arbitrary Image Style Transfer. - Hongda Liu; Longguang Wang; Ye Zhang; Ziru Yu; Yulan Guo (CVPR, 2025)

NTIRE 2025 Challenge on Light Field Image Super-Resolution: Methods and Results. - Yingqian Wang 002; Zhengyu Liang; Fengyuan Zhang; Lvli Tian; Longguang Wang; Juncheng Li 013; Jungang Yang 001; Radu Timofte; Yulan Guo; Kai Jin; Zeqiang Wei; Angulia Yang; et al. (CVPR Workshops, 2025)

VideoDirector: Precise Video Editing via Text-to-Video Models. - Yukun Wang; Longguang Wang; Zhiyuan Ma; Qibin Hu; Kai Xu 004; Yulan Guo (CVPR, 2025)

DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering. - Yexing Xu; Longguang Wang; Minglin Chen; Sheng Ao; Li Li 100; Yulan Guo (CVPR, 2025)

PhaseVSRnet: Deep complex network for phase-based satellite video super-resolution. - Hanyun Wang; Wenke Li; Huixin Fan; Song Ji; Chenguang Dai; Yongsheng Zhang; Jin Chen; Yulan Guo; Longguang Wang (Int. J. Appl. Earth Obs. Geoinformation, 2025)

CompletionMamba: Taming State Space Model for Point Cloud Completion. - Zhiheng Fu; Jiehua Zhang; Longguang Wang; Lian Xu; Hamid Laga; Yulan Guo; Farid Boussaïd; Mohammed Bennamoun (IEEE Trans. Image Process., 2025)

ADStereo: Efficient Stereo Matching With Adaptive Downsampling and Disparity Alignment. - Yun Wang; Kunhong Li 001; Longguang Wang; Junjie Hu 003; Dapeng Oliver Wu; Yulan Guo (IEEE Trans. Image Process., 2025)

Enhancing Event-Based Video Reconstruction With Bidirectional Temporal Information. - Pinghai Gao; Longguang Wang; Sheng Ao; Ye Zhang; Yulan Guo (IEEE Trans. Multim., 2025)

Layout2Scene: 3D Semantic Layout Guided Scene Generation via Geometry and Appearance Diffusion Priors. - Minglin Chen; Longguang Wang; Sheng Ao; Ye Zhang; Kai Xu 004; Yulan Guo (CoRR, 2025)

Unsupervised Degradation Representation Learning for Unpaired Restoration of Images and Point Clouds. - Longguang Wang; Yulan Guo; Yingqian Wang 002; Xiaoyu Dong; Qingyu Xu; Jun-Gang Yang; Wei An (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Adaptive Sparse Memory Networks for Efficient and Robust Video Object Segmentation. - Jisheng Dang; Huicheng Zheng; Xiaohao Xu; Longguang Wang; Qingyong Hu; Yulan Guo (IEEE Trans. Neural Networks Learn. Syst., 2025)

Simulating the Real World: A Unified Survey of Multimodal Generative Models. - Yuqi Hu; Longguang Wang; Xian Liu; Ling-Hao Chen; Yuwei Guo 002; Yukai Shi; Ce Liu; Anyi Rao; Zeyu Wang; Hui Xiong 001 (CoRR, 2025)

Real-World Light Field Image Super-Resolution Via Degradation Modulation. - Yingqian Wang 002; Zhengyu Liang; Longguang Wang; Jungang Yang 001; Wei An; Yulan Guo (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Unified Hierarchical Framework for Fine-grained Cross-view Geo-localization over Large-scale Scenarios. - Zhuo Song; Ye Zhang; Kunhong Li 001; Longguang Wang; Yulan Guo (CoRR, 2025)

Probing Deep into Temporal Profile Makes the Infrared Small Target Detector Much Better. - Ruojing Li; Wei An; Xinyi Ying; Yingqian Wang 002; Yimian Dai; Longguang Wang; Miao Li; Yulan Guo; Li Liu 002 (CoRR, 2025)

Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts. - Yun Wang; Longguang Wang; Chenghao Zhang; Yongjian Zhang; Zhanjie Zhang; Ao Ma; Chenyou Fan; Tin Lun Lam; Junjie Hu 003 (CoRR, 2025)

PanMatch: Unleashing the Potential of Large Vision Models for Unified Matching Models. - Yongjian Zhang; Longguang Wang; Kunhong Li 001; Ye Zhang; Yun Wang; Liang Lin; Yulan Guo (CoRR, 2025)