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2020 – today
- 2025
- [j36]Longguang Wang, Yulan Guo, Yingqian Wang, Xiaoyu Dong, Qingyu Xu, Jun-Gang Yang, Wei An:
Unsupervised Degradation Representation Learning for Unpaired Restoration of Images and Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 1-18 (2025) - 2024
- [j35]Yulan Guo, Hanyun Wang, Longguang Wang, Yinjie Lei, Li Liu, Mohammed Bennamoun:
3D Face Recognition: Two Decades of Progress and Prospects. ACM Comput. Surv. 56(3): 54:1-54:39 (2024) - [j34]Juncheng Li, Zehua Pei, Wenjie Li, Guangwei Gao, Longguang Wang, Yingqian Wang, Tieyong Zeng:
A Systematic Survey of Deep Learning-Based Single-Image Super-Resolution. ACM Comput. Surv. 56(10): 249 (2024) - [j33]Longguang Wang, Juncheng Li, Naoto Yokoya, Radu Timofte, Yulan Guo:
Guest Editorial: Advanced image restoration and enhancement in the wild. IET Comput. Vis. 18(4): 435-438 (2024) - [j32]Zhiqiang Shen, Longguang Wang, Yulan Guo, Qiong Liu, Xi Zhou:
Point Spatio-Temporal Pyramid Network for Point Cloud Video Understanding. IEEE Signal Process. Lett. 31: 1209-1213 (2024) - [j31]Guanghui Wu, Hao Liu, Longguang Wang, Kunhong Li, Yulan Guo, Zengping Chen:
Self-Supervised Multi-Frame Monocular Depth Estimation for Dynamic Scenes. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4989-5001 (2024) - [j30]Boyang Li, Longguang Wang, Yingqian Wang, Tianhao Wu, Zaiping Lin, Miao Li, Wei An, Yulan Guo:
Mixed-Precision Network Quantization for Infrared Small Target Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j29]Shaocong Liu, Tao Wang, Yan Zhang, Ruqin Zhou, Li Li, Chenguang Dai, Yongsheng Zhang, Longguang Wang, Hanyun Wang:
Deep Semantic Graph Matching for Large-Scale Outdoor Point Cloud Registration. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j28]Minglin Chen, Longguang Wang, Yinjie Lei, Zilong Dong, Yulan Guo:
Learning Spherical Radiance Field for Efficient 360° Unbounded Novel View Synthesis. IEEE Trans. Image Process. 33: 3722-3734 (2024) - [j27]Jisheng Dang, Huicheng Zheng, Xiaohao Xu, Longguang Wang, Yulan Guo:
Beyond Appearance: Multi-Frame Spatio-Temporal Context Memory Networks for Efficient and Robust Video Object Segmentation. IEEE Trans. Image Process. 33: 4853-4866 (2024) - [j26]Yun Wang, Longguang Wang, Kunhong Li, Yongjian Zhang, Dapeng Oliver Wu, Yulan Guo:
Cost Volume Aggregation in Stereo Matching Revisited: A Disparity Classification Perspective. IEEE Trans. Image Process. 33: 6425-6438 (2024) - [j25]Jisheng Dang, Huicheng Zheng, Bimei Wang, Longguang Wang, Yulan Guo:
Temporo-Spatial Parallel Sparse Memory Networks for Efficient Video Object Segmentation. IEEE Trans. Intell. Transp. Syst. 25(11): 17291-17304 (2024) - [j24]Boyang Li, Fei Zhang, Longguang Wang, Yingqian Wang, Ting Liu, Zaiping Lin, Wei An, Yulan Guo:
DDAug: Differentiable Data Augmentation for Weakly Supervised Semantic Segmentation. IEEE Trans. Multim. 26: 4764-4775 (2024) - [j23]Qingyu Xu, Longguang Wang, Weidong Sheng, Yingqian Wang, Chao Xiao, Chao Ma, Wei An:
Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T Videos. IEEE Trans. Multim. 26: 9383-9397 (2024) - [c34]Longguang Wang, Yulan Guo, Juncheng Li, Hongda Liu, Yang Zhao, Yingqian Wang, Zhi Jin, Shuhang Gu, Radu Timofte:
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2024: 6198-6207 - [c33]Yingqian Wang, Zhengyu Liang, Qianyu Chen, Longguang Wang, Jungang Yang, Radu Timofte, Yulan Guo, Wentao Chao, Yiming Kan, Xuechun Wang, Fuqing Duan, Guanghui Wang, Wang Xia, Ziqi Wang, Yue Yan, Peiqi Xia, Shunzhou Wang, Yao Lu, Angulia Yang, Kai Jin, Zeqiang Wei, Sha Guo, Mingzhi Gao, Xiuzhuang Zhou, Zhongxin Yu, Shaofei Luo, Cheng Zhong, Shaorui Chen, Long Peng, Yuhong He, Gaosheng Liu, Huanjing Yue, Jingyu Yang, Zhengjian Yao, Jiakui Hu, Lujia Jin, Zhi-Song Liu, Chenhang He, Jun Xiao, Xiuyuan Wang, Zonglin Tian, Yifan Mao, Deyang Liu, Shizheng Li, Ping An:
NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results. CVPR Workshops 2024: 6218-6234 - [c32]Kunhong Li, Longguang Wang, Ye Zhang, Kaiwen Xue, Shunbo Zhou, Yulan Guo:
LoS: Local Structure-Guided Stereo Matching. CVPR 2024: 19746-19756 - [c31]Longguang Wang, Juncheng Li, Yingqian Wang, Qingyong Hu, Yulan Guo:
Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution. CVPR 2024: 25712-25721 - [c30]Zhiheng Fu, Longguang Wang, Lian Xu, Zhiyong Wang, Hamid Laga, Yulan Guo, Farid Boussaïd, Mohammed Bennamoun:
AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion. ECCV (11) 2024: 127-143 - [c29]Yongjian Zhang, Longguang Wang, Kunhong Li, Yun Wang, Yulan Guo:
Learning Representations from Foundation Models for Domain Generalized Stereo Matching. ECCV (42) 2024: 146-162 - [c28]Yukun Wang, Kunhong Li, Minglin Chen, Longguang Wang, Shunbo Zhou, Kaiwen Xue, Yulan Guo:
Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization. ECCV (54) 2024: 477-493 - [c27]Guangchi Fang, Qingyong Hu, Longguang Wang, Yulan Guo:
ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression. ICLR 2024 - [c26]Zhiqi Huang, Hui Xiong, Haoyu Wang, Longguang Wang, Zhiheng Li:
Mask-ControlNet: Higher-Quality Image Generation with an Additional Mask Prompt. ICPR (6) 2024: 83-97 - [c25]Yi Wang, Ningze Zhong, Minglin Chen, Longguang Wang, Yulan Guo:
Tangram-Splatting: Optimizing 3D Gaussian Splatting Through Tangram-inspired Shape Priors. ACM Multimedia 2024: 3075-3083 - [i36]Zhuo Su, Jiehua Zhang, Longguang Wang, Hua Zhang, Zhen Liu, Matti Pietikäinen, Li Liu:
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning. CoRR abs/2402.00422 (2024) - [i35]Zhiqi Huang, Hui Xiong, Haoyu Wang, Longguang Wang, Zhiheng Li:
Mask-ControlNet: Higher-Quality Image Generation with An Additional Mask Prompt. CoRR abs/2404.05331 (2024) - [i34]Zhaoxu Li, Wei An, Gaowei Guo, Longguang Wang, Yingqian Wang, Zaiping Lin:
SpecDETR: A Transformer-based Hyperspectral Point Object Detection Network. CoRR abs/2405.10148 (2024) - [i33]Hongda Liu, Longguang Wang, Ye Zhang, Kaiwen Xue, Shunbo Zhou, Yulan Guo:
Preserving Full Degradation Details for Blind Image Super-Resolution. CoRR abs/2407.01299 (2024) - [i32]Longguang Wang, Yulan Guo, Juncheng Li, Hongda Liu, Yang Zhao, Yingqian Wang, Zhi Jin, Shuhang Gu, Radu Timofte:
NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results. CoRR abs/2409.16947 (2024) - 2023
- [j22]Yingqian Wang, Longguang Wang, Gaochang Wu, Jungang Yang, Wei An, Jingyi Yu, Yulan Guo:
Disentangling Light Fields for Super-Resolution and Disparity Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 425-443 (2023) - [j21]Longguang Wang, Yulan Guo, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An:
Exploring Fine-Grained Sparsity in Convolutional Neural Networks for Efficient Inference. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4474-4493 (2023) - [j20]Zhuo Su, Jiehua Zhang, Longguang Wang, Hua Zhang, Zhen Liu, Matti Pietikäinen, Li Liu:
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14956-14974 (2023) - [j19]Shuanglin Wu, Chao Xiao, Xinyi Ying, Longguang Wang, Jun-Gang Yang, Wei An:
Learning scalable dynamic filter in convolutional networks. Pattern Recognit. Lett. 176: 83-88 (2023) - [j18]Guanghui Wu, Kunhong Li, Longguang Wang, Ruizhen Hu, Yulan Guo, Zengping Chen:
HI-Net: Boosting Self-Supervised Indoor Depth Estimation via Pose Optimization. IEEE Robotics Autom. Lett. 8(1): 224-231 (2023) - [j17]Qingtang Ding, Zhengyu Liang, Longguang Wang, Yingqian Wang, Jungang Yang:
Not All Patches Are Equal: Hierarchical Dataset Condensation for Single Image Super-Resolution. IEEE Signal Process. Lett. 30: 1752-1756 (2023) - [j16]Shuanglin Wu, Chao Xiao, Longguang Wang, Yingqian Wang, Jun-Gang Yang, Wei An:
RepISD-Net: Learning Efficient Infrared Small-Target Detection Network via Structural Re-Parameterization. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j15]Boyang Li, Chao Xiao, Longguang Wang, Yingqian Wang, Zaiping Lin, Miao Li, Wei An, Yulan Guo:
Dense Nested Attention Network for Infrared Small Target Detection. IEEE Trans. Image Process. 32: 1745-1758 (2023) - [j14]Yulan Guo, Yun Wang, Longguang Wang, Zi Wang, Chen Cheng:
CVCNet: Learning Cost Volume Compression for Efficient Stereo Matching. IEEE Trans. Multim. 25: 7786-7799 (2023) - [c24]Zhiqiang Shen, Xiaoxiao Sheng, Longguang Wang, Yulan Guo, Qiong Liu, Xi Zhou:
PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos. CVPR 2023: 1212-1222 - [c23]Yingqian Wang, Longguang Wang, Zhengyu Liang, Jungang Yang, Radu Timofte, Yulan Guo, Kai Jin, Zeqiang Wei, Angulia Yang, Sha Guo, Mingzhi Gao, Xiuzhuang Zhou, Vinh Van Duong, Thuc Nguyen Huu, Jonghoon Yim, Byeungwoo Jeon, Yutong Liu, Zhen Cheng, Zeyu Xiao, Ruikang Xu, Zhiwei Xiong, Gaosheng Liu, Manchang Jin, Huanjing Yue, Jingyu Yang, Chen Gao, Shuo Zhang, Song Chang, Youfang Lin, Wentao Chao, Xuechun Wang, Guanghui Wang, Fuqing Duan, Wang Xia, Yan Wang, Peiqi Xia, Shunzhou Wang, Yao Lu, Ruixuan Cong, Hao Sheng, Da Yang, Rongshan Chen, Sizhe Wang, Zhenglong Cui, Yilei Chen, Yongjie Lu, Dongjun Cai, Ping An, Ahmed Salem, Hatem Ibrahem, Bilel Yagoub, Hyun Soo Kang, Zekai Zeng, Heng Wu:
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results. CVPR Workshops 2023: 1320-1335 - [c22]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang:
NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2023: 1346-1372 - [c21]Boyang Li, Yingqian Wang, Longguang Wang, Fei Zhang, Ting Liu, Zaiping Lin, Wei An, Yulan Guo:
Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection. ICCV 2023: 1009-1019 - [c20]Zhiheng Fu, Longguang Wang, Lian Xu, Zhiyong Wang, Hamid Laga, Yulan Guo, Farid Boussaïd, Mohammed Bennamoun:
VAPCNet: Viewpoint-Aware 3D Point Cloud Completion. ICCV 2023: 12074-12084 - [c19]Zhengyu Liang, Yingqian Wang, Longguang Wang, Jungang Yang, Shilin Zhou, Yulan Guo:
Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution. ICCV 2023: 12342-12352 - [c18]Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao, Longguang Wang, Yulan Guo, Hehe Fan:
Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos. ICCV 2023: 16469-16478 - [c17]Zhiqiang Shen, Xiaoxiao Sheng, Hehe Fan, Longguang Wang, Yulan Guo, Qiong Liu, Hao Wen, Xi Zhou:
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos. ICCV 2023: 16534-16543 - [i31]Zhengyu Liang, Yingqian Wang, Longguang Wang, Jungang Yang, Shilin Zhou, Yulan Guo:
Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution. CoRR abs/2302.08058 (2023) - [i30]Boyang Li, Yingqian Wang, Longguang Wang, Fei Zhang, Ting Liu, Zaiping Lin, Wei An, Yulan Guo:
Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection. CoRR abs/2304.04442 (2023) - [i29]Yingqian Wang, Longguang Wang, Zhengyu Liang, Jungang Yang, Radu Timofte, Yulan Guo:
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results. CoRR abs/2304.10415 (2023) - [i28]Zhiqiang Shen, Xiaoxiao Sheng, Longguang Wang, Yulan Guo, Qiong Liu, Xi Zhou:
PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos. CoRR abs/2305.04075 (2023) - [i27]Zhiqiang Shen, Xiaoxiao Sheng, Hehe Fan, Longguang Wang, Yulan Guo, Qiong Liu, Hao Wen, Xi Zhou:
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos. CoRR abs/2308.09245 (2023) - [i26]Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao, Longguang Wang, Yulan Guo, Hehe Fan:
Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos. CoRR abs/2308.09247 (2023) - [i25]Peng Zhao, Jiehua Zhang, Bowen Peng, Longguang Wang, Yingmei Wei, Yu Liu, Li Liu:
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks. CoRR abs/2312.13575 (2023) - 2022
- [j13]Ye Zhang, Longguang Wang, Huiling Chen, Aosheng Tian, Shilin Zhou, Yulan Guo:
IF-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(2): 88:1-88:26 (2022) - [j12]Longguang Wang, Yulan Guo, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An:
Parallax Attention for Unsupervised Stereo Correspondence Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2108-2125 (2022) - [j11]Yun Wang, Longguang Wang, Hanyun Wang, Yulan Guo:
SPNet: Learning Stereo Matching With Slanted Plane Aggregation. IEEE Robotics Autom. Lett. 7(3): 6258-6265 (2022) - [j10]Yongjian Zhang, Longguang Wang, Kunhong Li, Zhiheng Fu, Yulan Guo:
SLFNet: A Stereo and LiDAR Fusion Network for Depth Completion. IEEE Robotics Autom. Lett. 7(4): 10605-10612 (2022) - [j9]Zhengyu Liang, Yingqian Wang, Longguang Wang, Jun-Gang Yang, Shilin Zhou:
Light Field Image Super-Resolution With Transformers. IEEE Signal Process. Lett. 29: 563-567 (2022) - [j8]Xinyi Ying, Yingqian Wang, Longguang Wang, Weidong Sheng, Li Liu, Zaiping Lin, Shilin Zhou:
Local Motion and Contrast Priors Driven Deep Network for Infrared Small Target Superresolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5480-5495 (2022) - [j7]Boyang Li, Yulan Guo, Jun-Gang Yang, Longguang Wang, Yingqian Wang, Wei An:
Gated Recurrent Multiattention Network for VHR Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [c16]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen:
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2022: 905-918 - [c15]Longguang Wang, Xiaoyu Dong, Yingqian Wang, Li Liu, Wei An, Yulan Guo:
Learnable Lookup Table for Neural Network Quantization. CVPR 2022: 12413-12423 - [c14]Kunhong Li, Longguang Wang, Li Liu, Qing Ran, Kai Xu, Yulan Guo:
Decoupling Makes Weakly Supervised Local Feature Better. CVPR 2022: 15817-15827 - [c13]Yingqian Wang, Longguang Wang, Zhengyu Liang, Jun-Gang Yang, Wei An, Yulan Guo:
Occlusion-Aware Cost Constructor for Light Field Depth Estimation. CVPR 2022: 19777-19786 - [c12]Xiaoyu Dong, Naoto Yokoya, Longguang Wang, Tatsumi Uezato:
Learning Mutual Modulation for Self-supervised Cross-Modal Super-Resolution. ECCV (19) 2022: 1-18 - [c11]Yu Mo, Yingqian Wang, Longguang Wang, Jun-Gang Yang, Wei An:
Light Field Angular Super-Resolution via Dense Correspondence Field Reconstruction. ECCV Workshops (2) 2022: 412-428 - [i24]Xinyi Ying, Yingqian Wang, Longguang Wang, Weidong Sheng, Li Liu, Zaiping Lin, Shilin Zhou:
MoCoPnet: Exploring Local Motion and Contrast Priors for Infrared Small Target Super-Resolution. CoRR abs/2201.01014 (2022) - [i23]Kunhong Li, Longguang Wang, Li Liu, Qing Ran, Kai Xu, Yulan Guo:
Decoupling Makes Weakly Supervised Local Feature Better. CoRR abs/2201.02861 (2022) - [i22]Yingqian Wang, Longguang Wang, Gaochang Wu, Jun-Gang Yang, Wei An, Jingyi Yu, Yulan Guo:
Disentangling Light Fields for Super-Resolution and Disparity Estimation. CoRR abs/2202.10603 (2022) - [i21]Yingqian Wang, Longguang Wang, Zhengyu Liang, Jun-Gang Yang, Wei An, Yulan Guo:
Occlusion-Aware Cost Constructor for Light Field Depth Estimation. CoRR abs/2203.01576 (2022) - [i20]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte:
NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results. CoRR abs/2204.09197 (2022) - [i19]Yingqian Wang, Zhengyu Liang, Longguang Wang, Jun-Gang Yang, Wei An, Yulan Guo:
Learning a Degradation-Adaptive Network for Light Field Image Super-Resolution. CoRR abs/2206.06214 (2022) - [i18]Xiaoyu Dong, Naoto Yokoya, Longguang Wang, Tatsumi Uezato:
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution. CoRR abs/2207.09156 (2022) - 2021
- [j6]Qingyu Xu, Longguang Wang, Yingqian Wang, Weidong Sheng, Xinpu Deng:
Deep Bilateral Learning for Stereo Image Super-Resolution. IEEE Signal Process. Lett. 28: 613-617 (2021) - [j5]Xiaoyu Dong, Longguang Wang, Xu Sun, Xiuping Jia, Lianru Gao, Bing Zhang:
Remote Sensing Image Super-Resolution Using Second-Order Multi-Scale Networks. IEEE Trans. Geosci. Remote. Sens. 59(4): 3473-3485 (2021) - [j4]Yingqian Wang, Jun-Gang Yang, Longguang Wang, Xinyi Ying, Tianhao Wu, Wei An, Yulan Guo:
Light Field Image Super-Resolution Using Deformable Convolution. IEEE Trans. Image Process. 30: 1057-1071 (2021) - [c10]Yingqian Wang, Xinyi Ying, Longguang Wang, Jungang Yang, Wei An, Yulan Guo:
Symmetric Parallax Attention for Stereo Image Super-Resolution. CVPR Workshops 2021: 766-775 - [c9]Longguang Wang, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An, Yulan Guo:
Exploring Sparsity in Image Super-Resolution for Efficient Inference. CVPR 2021: 4917-4926 - [c8]Longguang Wang, Yingqian Wang, Xiaoyu Dong, Qingyu Xu, Jungang Yang, Wei An, Yulan Guo:
Unsupervised Degradation Representation Learning for Blind Super-Resolution. CVPR 2021: 10581-10590 - [c7]Hanlong Liao, Guoming Tang, Teng Liang, Longguang Wang, Deke Guo:
Personalized QoE Optimization with Edge-Aided Video Enhancement Services. HPCC/DSS/SmartCity/DependSys 2021: 99-106 - [c6]Longguang Wang, Yingqian Wang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo:
Learning A Single Network for Scale-Arbitrary Super-Resolution. ICCV 2021: 4781-4790 - [i17]Longguang Wang, Yingqian Wang, Xiaoyu Dong, Qingyu Xu, Jungang Yang, Wei An, Yulan Guo:
Unsupervised Degradation Representation Learning for Blind Super-Resolution. CoRR abs/2104.00416 (2021) - [i16]Boyang Li, Chao Xiao, Longguang Wang, Yingqian Wang, Zaiping Lin, Miao Li, Wei An, Yulan Guo:
Dense Nested Attention Network for Infrared Small Target Detection. CoRR abs/2106.00487 (2021) - [i15]Zhengyu Liang, Yingqian Wang, Longguang Wang, Jungang Yang, Shilin Zhou:
Light Field Image Super-Resolution with Transformers. CoRR abs/2108.07597 (2021) - 2020
- [j3]Xinyi Ying, Yingqian Wang, Longguang Wang, Weidong Sheng, Wei An, Yulan Guo:
A Stereo Attention Module for Stereo Image Super-Resolution. IEEE Signal Process. Lett. 27: 496-500 (2020) - [j2]Xinyi Ying, Longguang Wang, Yingqian Wang, Weidong Sheng, Wei An, Yulan Guo:
Deformable 3D Convolution for Video Super-Resolution. IEEE Signal Process. Lett. 27: 1500-1504 (2020) - [j1]Longguang Wang, Yulan Guo, Li Liu, Zaiping Lin, Xinpu Deng, Wei An:
Deep Video Super-Resolution Using HR Optical Flow Estimation. IEEE Trans. Image Process. 29: 4323-4336 (2020) - [c5]Yingqian Wang, Longguang Wang, Jun-Gang Yang, Wei An, Jingyi Yu, Yulan Guo:
Spatial-Angular Interaction for Light Field Image Super-Resolution. ECCV (23) 2020: 290-308 - [c4]Yingqian Wang, Tianhao Wu, Jun-Gang Yang, Longguang Wang, Wei An, Yulan Guo:
DeOccNet: Learning to See Through Foreground Occlusions in Light Fields. WACV 2020: 118-127 - [i14]Longguang Wang, Yulan Guo, Li Liu, Zaiping Lin, Xinpu Deng, Wei An:
Deep Video Super-Resolution using HR Optical Flow Estimation. CoRR abs/2001.02129 (2020) - [i13]Xinyi Ying, Longguang Wang, Yingqian Wang, Weidong Sheng, Wei An, Yulan Guo:
Deformable 3D Convolution for Video Super-Resolution. CoRR abs/2004.02803 (2020) - [i12]Longguang Wang, Yingqian Wang, Zaiping Lin, Jun-Gang Yang, Wei An, Yulan Guo:
Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks. CoRR abs/2004.03791 (2020) - [i11]Longguang Wang, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An, Yulan Guo:
Learning Sparse Masks for Efficient Image Super-Resolution. CoRR abs/2006.09603 (2020) - [i10]Yingqian Wang, Jungang Yang, Longguang Wang, Xinyi Ying, Tianhao Wu, Wei An, Yulan Guo:
Light Field Image Super-Resolution Using Deformable Convolution. CoRR abs/2007.03535 (2020) - [i9]Longguang Wang, Yulan Guo, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An:
Parallax Attention for Unsupervised Stereo Correspondence Learning. CoRR abs/2009.08250 (2020) - [i8]Yingqian Wang, Xinyi Ying, Longguang Wang, Jungang Yang, Wei An, Yulan Guo:
Symmetric Parallax Attention for Stereo Image Super-Resolution. CoRR abs/2011.03802 (2020)
2010 – 2019
- 2019
- [c3]Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jun-Gang Yang, Wei An, Yulan Guo:
Learning Parallax Attention for Stereo Image Super-Resolution. CVPR 2019: 12250-12259 - [c2]Yingqian Wang, Longguang Wang, Jun-Gang Yang, Wei An, Yulan Guo:
Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution. ICCV Workshops 2019: 3852-3857 - [i7]Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo:
Learning Parallax Attention for Stereo Image Super-Resolution. CoRR abs/1903.05784 (2019) - [i6]Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Yulan Guo:
Flickr1024: A Dataset for Stereo Image Super-Resolution. CoRR abs/1903.06332 (2019) - [i5]Yingqian Wang, Tianhao Wu, Jun-Gang Yang, Longguang Wang, Wei An, Yulan Guo:
DeOccNet: Learning to See Through Foreground Occlusions in Light Fields. CoRR abs/1912.04459 (2019) - [i4]Yingqian Wang, Longguang Wang, Jun-Gang Yang, Wei An, Jingyi Yu, Yulan Guo:
Spatial-Angular Interaction for Light Field Image Super-Resolution. CoRR abs/1912.07849 (2019) - 2018
- [c1]Longguang Wang, Yulan Guo, Zaiping Lin, Xinpu Deng, Wei An:
Learning for Video Super-Resolution Through HR Optical Flow Estimation. ACCV (1) 2018: 514-529 - [i3]Longguang Wang, Yulan Guo, Zaiping Lin, Xinpu Deng, Wei An:
Learning for Video Super-Resolution through HR Optical Flow Estimation. CoRR abs/1809.08573 (2018) - 2017
- [i2]Longguang Wang, Zaiping Lin, Xinpu Deng, Wei An:
Fast multi-frame image super-resolution based on MRF. CoRR abs/1706.06266 (2017) - [i1]Longguang Wang, Zaiping Lin, Jinyan Gao, Xinpu Deng, Wei An:
Fast single image super-resolution based on sigmoid transformation. CoRR abs/1708.07029 (2017)
Coauthor Index
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