A hybrid approach combining extreme learning machine and sparse representation for image classification. - Minxia Luo; Kai Zhang 008 (Eng. Appl. Artif. Intell., 2014)

Class Relatedness Oriented Discriminative Dictionary Learning. - Pengju Liu; Hongzhi Zhang; Kai Zhang 008; Changchun Luo; Wangmeng Zuo (CCCV (1), 2015)

Revisiting Single Image Super-Resolution Under Internet Environment: Blur Kernels and Reconstruction Algorithms. - Kai Zhang 008; Xiaoyu Zhou; Hongzhi Zhang; Wangmeng Zuo (PCM (1), 2015)

Robustness of full implication algorithms based on interval-valued fuzzy inference. - Minxia Luo; Kai Zhang 008 (Int. J. Approx. Reason., 2015)

Outlier-robust extreme learning machine for regression problems. - Kai Zhang 008; Minxia Luo (Neurocomputing, 2015)

The Effect of Quantization Setting for Image Denoising Methods: An Empirical Study. - Feng Pan; Zifei Yan; Kai Zhang 008; Hongzhi Zhang; Wangmeng Zuo (CCPR (2), 2016)

Extreme learning machine and adaptive sparse representation for image classification. - Jiuwen Cao; Kai Zhang 008; Minxia Luo; Chun Yin; Xiaoping Lai (Neural Networks, 2016)

Joint Learning of Multiple Regressors for Single Image Super-Resolution. - Kai Zhang 008; Baoquan Wang; Wangmeng Zuo; Hongzhi Zhang; Lei Zhang 006 (IEEE Signal Process. Lett., 2016)

NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. - Radu Timofte; Eirikur Agustsson; Luc Van Gool; Ming-Hsuan Yang 001; Lei Zhang 006; Bee Lim; Sanghyun Son 002; Heewon Kim; Seungjun Nah; Kyoung Mu Lee; Xintao Wang 002; Yapeng Tian; et al. (CVPR Workshops, 2017)

Learning Deep CNN Denoiser Prior for Image Restoration. - Kai Zhang 008; Wangmeng Zuo; Shuhang Gu; Lei Zhang 006 (CVPR, 2017)

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising. - Kai Zhang 008; Wangmeng Zuo; Yunjin Chen; Deyu Meng; Lei Zhang 006 (IEEE Trans. Image Process., 2017)

Multi-Level Wavelet-CNN for Image Restoration. - Pengju Liu; Hongzhi Zhang; Kai Zhang 008; Liang Lin; Wangmeng Zuo (CVPR Workshops, 2018)

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations. - Kai Zhang 008; Wangmeng Zuo; Lei Zhang 006 (CVPR, 2018)

JPEG Image Super-Resolution via Deep Residual Network. - Fengchi Xu; Zifei Yan; Gang Xiao; Kai Zhang 008; Wangmeng Zuo (ICIC (3), 2018)

End-to-End Blind Image Quality Assessment Using Deep Neural Networks. - Kede Ma; Wentao Liu 001; Kai Zhang 008; Zhengfang Duanmu; Zhou Wang 001; Wangmeng Zuo (IEEE Trans. Image Process., 2018)

FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising. - Kai Zhang 008; Wangmeng Zuo; Lei Zhang 006 (IEEE Trans. Image Process., 2018)

Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels. - Kai Zhang 008; Wangmeng Zuo; Lei Zhang 006 (CVPR, 2019)

NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. - Abdelrahman Abdelhamed; Radu Timofte; Michael S. Brown; Songhyun Yu; Bumjun Park; Jechang Jeong; Seung-Won Jung; Dong-Wook Kim; Jae Ryun Chung; Jiaming Liu; Yuzhi Wang; Chi-Hao Wu 001; et al. (CVPR Workshops, 2019)

NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. - Jianrui Cai; Shuhang Gu; Radu Timofte; Lei Zhang 006; Xiao Liu 022; Yukang Ding; Dongliang He; Chao Li 034; Yi Fu; Shilei Wen; Ruicheng Feng; Jinjin Gu; et al. (CVPR Workshops, 2019)

Toward Convolutional Blind Denoising of Real Photographs. - Shi Guo; Zifei Yan; Kai Zhang 008; Wangmeng Zuo; Lei Zhang 006 (CVPR, 2019)

NTIRE 2019 Challenge on Image Enhancement: Methods and Results. - Andrey Ignatov; Radu Timofte; Xiaochao Qu; Xingguang Zhou; Ting Liu; Pengfei Wan 001; Syed Waqas Zamir; Aditya Arora; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001; Dongwon Park; et al. (CVPR Workshops, 2019)

AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. - Kai Zhang 008; Nan Nan; Chenghua Li; Xueyi Zou; Ning Kang 007; Zhan Wang 003; Hang Xu 004; Chaofeng Wang; Zheng Li; Linlin Wang; Jun Shi 004; Shuhang Gu; et al. (ICCV Workshops, 2019)

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels. - Kai Zhang 008; Wangmeng Zuo; Lei Zhang 038 (CoRR, 2019)

Extreme Learning Machine With Affine Transformation Inputs in an Activation Function. - Jiuwen Cao; Kai Zhang 008; Hongwei Yong; Xiaoping Lai; Badong Chen; Zhiping Lin 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Neural Blind Deconvolution Using Deep Priors. - Dongwei Ren; Kai Zhang 008; Qilong Wang 001; Qinghua Hu; Wangmeng Zuo (CVPR, 2020)

Deep Unfolding Network for Image Super-Resolution. - Kai Zhang 008; Luc Van Gool; Radu Timofte (CVPR, 2020)

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. - Kai Zhang 008; Shuhang Gu; Radu Timofte; Taizhang Shang; Qiuju Dai; Shengchen Zhu; Tong Yang; Yandong Guo; Younghyun Jo; Sejong Yang; Seon Joo Kim; Lin Zha; et al. (CVPR Workshops, 2020)

DHP: Differentiable Meta Pruning via HyperNetworks. - Yawei Li 001; Shuhang Gu; Kai Zhang 008; Luc Van Gool; Radu Timofte (ECCV (8), 2020)

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. - Kai Zhang 008; Martin Danelljan; Yawei Li 001; Radu Timofte; Jie Liu 040; Jie Tang 006; Gangshan Wu; Yu Zhu 004; Xiangyu He; Wenjie Xu; Chenghua Li; Cong Leng; et al. (ECCV Workshops (3), 2020)

Learning Context-Based Non-local Entropy Modeling for Image Compression. - Mu Li 005; Kai Zhang 008; Wangmeng Zuo; Radu Timofte; David Zhang 001 (CoRR, 2020)

The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture. - Yawei Li 001; Wen Li 001; Martin Danelljan; Kai Zhang 008; Shuhang Gu; Luc Van Gool; Radu Timofte (CoRR, 2020)

The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures. - Yawei Li 001; Wen Li 001; Martin Danelljan; Kai Zhang 008; Shuhang Gu; Luc Van Gool; Radu Timofte (CVPR, 2021)

Flow-Based Kernel Prior With Application to Blind Super-Resolution. - Jingyun Liang; Kai Zhang 008; Shuhang Gu; Luc Van Gool; Radu Timofte (CVPR, 2021)

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution. - Kai Zhang 008; Jingyun Liang; Luc Van Gool; Radu Timofte (ICCV, 2021)

Towards Flexible Blind JPEG Artifacts Removal. - Jiaxi Jiang; Kai Zhang 008; Radu Timofte (ICCV, 2021)

Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. - Jingyun Liang; Andreas Lugmayr; Kai Zhang 008; Martin Danelljan; Luc Van Gool; Radu Timofte (ICCV, 2021)

Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution. - Jingyun Liang; Guolei Sun; Kai Zhang 008; Luc Van Gool; Radu Timofte (ICCV, 2021)

SwinIR: Image Restoration Using Swin Transformer. - Jingyun Liang; Jiezhang Cao; Guolei Sun; Kai Zhang 008; Luc Van Gool; Radu Timofte (ICCVW, 2021)

LocalViT: Bringing Locality to Vision Transformers. - Yawei Li 001; Kai Zhang 008; Jiezhang Cao; Radu Timofte; Luc Van Gool (CoRR, 2021)

Video Super-Resolution Transformer. - Jiezhang Cao; Yawei Li 001; Kai Zhang 008; Luc Van Gool (CoRR, 2021)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Kai Zhang 008; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu 001; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (CVPR Workshops, 2022)

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Meisong Zheng; Qunliang Xing; Minglang Qiao; Mai Xu; Lai Jiang; Huaida Liu; Ying Chen 011; Youcheng Ben; Xiao Zhou; Chen Fu; et al. (CVPR Workshops, 2022)

Reference-Based Image Super-Resolution with Deformable Attention Transformer. - Jiezhang Cao; Jingyun Liang; Kai Zhang 008; Yawei Li 001; Yulun Zhang 001; Wenguan Wang; Luc Van Gool (ECCV (18), 2022)

Towards Interpretable Video Super-Resolution via Alternating Optimization. - Jiezhang Cao; Jingyun Liang; Kai Zhang 008; Wenguan Wang; Qin Wang 013; Yulun Zhang 001; Hao Tang 005; Luc Van Gool (ECCV (18), 2022)

Recurrent Video Restoration Transformer with Guided Deformable Attention. - Jingyun Liang; Yuchen Fan; Xiaoyu Xiang; Rakesh Ranjan; Eddy Ilg; Simon Green; Jiezhang Cao; Kai Zhang 008; Radu Timofte; Luc Van Gool (NeurIPS, 2022)

Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis. - Kai Zhang 008; Yawei Li 001; Jingyun Liang; Jiezhang Cao; Yulun Zhang 001; Hao Tang 005; Radu Timofte; Luc Van Gool (CoRR, 2022)

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Meisong Zheng; Qunliang Xing; Minglang Qiao; Mai Xu; Lai Jiang; Huaida Liu; Ying Chen 011; Youcheng Ben; Xiao Zhou; Chen Fu; et al. (CoRR, 2022)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Kai Zhang 008; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu 001; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (CoRR, 2022)

Practical Real Video Denoising with Realistic Degradation Model. - Jiezhang Cao; Qin Wang 013; Jingyun Liang; Yulun Zhang 001; Kai Zhang 008; Luc Van Gool (CoRR, 2022)

Plug-and-Play Image Restoration With Deep Denoiser Prior. - Kai Zhang 008; Yawei Li 001; Wangmeng Zuo; Lei Zhang 006; Luc Van Gool; Radu Timofte (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. - Jiezhang Cao; Qin Wang 013; Yongqin Xian; Yawei Li 001; Bingbing Ni; Zhiming Pi; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Luc Van Gool (CVPR, 2023)

NTIRE 2023 Video Colorization Challenge. - Xiaoyang Kang 002; Xianhui Lin; Kai Zhang 008; Zheng Hui; Wangmeng Xiang; Jun-Yan He; Xiaoming Li 002; Peiran Ren; Xuansong Xie; Radu Timofte; Yixin Yang; Jinshan Pan; et al. (CVPR Workshops, 2023)

LSDIR: A Large Scale Dataset for Image Restoration. - Yawei Li 001; Kai Zhang 008; Jingyun Liang; Jiezhang Cao; Ce Liu 004; Rui Gong; Yulun Zhang 001; Hao Tang 005; Yun Liu 011; Denis Demandolx; Rakesh Ranjan; Radu Timofte; et al. (CVPR Workshops, 2023)

NTIRE 2023 Quality Assessment of Video Enhancement Challenge. - Xiaohong Liu 001; Xiongkuo Min; Wei Sun 029; Yulun Zhang 001; Kai Zhang 008; Radu Timofte; Guangtao Zhai; Yixuan Gao; Yuqin Cao; Tengchuan Kou; Yunlong Dong; Ziheng Jia; et al. (CVPR Workshops, 2023)

Event-Based Frame Interpolation with Ad-hoc Deblurring. - Lei Sun 009; Christos Sakaridis; Jingyun Liang; Peng Sun; Kai Zhang 008; Jiezhang Cao; Qi Jiang; Kaiwei Wang; Luc Van Gool (CVPR, 2023)

NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results. - Yulun Zhang 001; Kai Zhang 008; Zheng Chen 014; Yawei Li 001; Radu Timofte; Junpei Zhang; Kexin Zhang 003; Rui Peng; Yanbiao Ma; Licheng Jia; Huaibo Huang; Xiaoqiang Zhou; et al. (CVPR Workshops, 2023)

Denoising Diffusion Models for Plug-and-Play Image Restoration. - Yuanzhi Zhu; Kai Zhang 008; Jingyun Liang; Jiezhang Cao; Bihan Wen; Radu Timofte; Luc Van Gool (CVPR Workshops, 2023)

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. - Zixiang Zhao; Haowen Bai; Yuanzhi Zhu; Jiangshe Zhang 001; Shuang Xu; Yulun Zhang 001; Kai Zhang 008; Deyu Meng; Radu Timofte; Luc Van Gool (ICCV, 2023)

LocalViT: Analyzing Locality in Vision Transformers. - Yawei Li 001; Kai Zhang 008; Jiezhang Cao; Radu Timofte; Michele Magno; Luca Benini; Luc Van Gool (IROS, 2023)

NTIRE 2023 Quality Assessment of Video Enhancement Challenge. - Xiaohong Liu 001; Xiongkuo Min; Wei Sun 029; Yulun Zhang 001; Kai Zhang 008; Radu Timofte; Guangtao Zhai; Yixuan Gao; Yuqin Cao; Tengchuan Kou; Yunlong Dong; Ziheng Jia; et al. (CoRR, 2023)

MoVideo: Motion-Aware Video Generation with Diffusion Models. - Jingyun Liang; Yuchen Fan; Kai Zhang 008; Radu Timofte; Luc Van Gool; Rakesh Ranjan (CoRR, 2023)

Learning Context-Based Nonlocal Entropy Modeling for Image Compression. - Mu Li 005; Kai Zhang 008; Jinxing Li; Wangmeng Zuo; Radu Timofte; David Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis. - Kai Zhang 008; Yawei Li 001; Jingyun Liang; Jiezhang Cao; Yulun Zhang 001; Hao Tang 005; Deng-Ping Fan; Radu Timofte; Luc Van Gool (Mach. Intell. Res., 2023)

Deep Equilibrium Diffusion Restoration with Parallel Sampling. - Jiezhang Cao; Yue Shi; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Luc Van Gool (CVPR, 2024)

NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results. - Zheng Chen 014; Zongwei Wu; Eduard Zamfir; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Xiaokang Yang 001; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Zhijuan Huang; Yajun Zou; et al. (CVPR Workshops, 2024)

DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model. - Zhenghao Pan; Haijin Zeng; Jiezhang Cao; Kai Zhang 008; Yongyong Chen (CVPR, 2024)

DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. - Yibo Wang; Ruiyuan Gao 001; Kai Chen 023; Kaiqiang Zhou; Yingjie Cai; Lanqing Hong; Zhenguo Li; Lihui Jiang; Dit-Yan Yeung; Qiang Xu 001; Kai Zhang 008 (CVPR, 2024)

Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising. - Haijin Zeng; Jiezhang Cao; Kai Zhang 008; Yongyong Chen; Hiep Luong 001; Wilfried Philips (CVPR, 2024)

Equivariant Multi-Modality Image Fusion. - Zixiang Zhao; Haowen Bai; Jiangshe Zhang 001; Yulun Zhang 001; Kai Zhang 008; Shuang Xu; Dongdong Chen; Radu Timofte; Luc Van Gool (CVPR, 2024)

Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint. - Sixiang Chen; Tian Ye 001; Kai Zhang 008; Zhaohu Xing; Yunlong Lin; Lei Zhu 003 (ECCV (9), 2024)

MoVideo: Motion-Aware Video Generation with Diffusion Model. - Jingyun Liang; Yuchen Fan; Kai Zhang 008; Radu Timofte; Luc Van Gool; Rakesh Ranjan (ECCV (44), 2024)

Infrared Image Super-Resolution via Lightweight Information Split Network. - Shijie Liu; Kang Yan; Feiwei Qin; Changmiao Wang; Ruiquan Ge; Kai Zhang 008; Jie Huang; Yong Peng 001; Jin Cao (ICIC (8), 2024)

Lightweight Image Super-Resolution via Flexible Meta Pruning. - Yulun Zhang 001; Kai Zhang 008; Luc Van Gool; Martin Danelljan; Fisher Yu 001 (ICML, 2024)

Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering. - Chong Peng 001; Kai Zhang 008; Yongyong Chen; Chenglizhao Chen; Qiang Cheng 001 (IJCAI, 2024)

MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging. - Zhenghao Pan; Haijin Zeng; Jiezhang Cao; Yongyong Chen; Kai Zhang 008; Yong Xu 001 (NeurIPS, 2024)

AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation. - Rui Xie; Ying Tai; Kai Zhang 008; Zhenyu Zhang 005; Jun Zhou; Jian Yang 003 (CoRR, 2024)

NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. - Zheng Chen 014; Zongwei Wu; Eduard Zamfir; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Xiaokang Yang 001; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Zhijuan Huang; Yajun Zou; et al. (CoRR, 2024)

Degradation Oriented and Regularized Network for Real-World Depth Super-Resolution. - Zhengxue Wang; Zhiqiang Yan 001; Jinshan Pan; Guangwei Gao; Kai Zhang 008; Jian Yang 003 (CoRR, 2024)

VRT: A Video Restoration Transformer. - Jingyun Liang; Jiezhang Cao; Yuchen Fan; Kai Zhang 008; Rakesh Ranjan; Yawei Li 001; Radu Timofte; Luc Van Gool (IEEE Trans. Image Process., 2024)

LKFormer: large kernel transformer for infrared image super-resolution. - Feiwei Qin; Kang Yan; Changmiao Wang; Ruiquan Ge; Yong Peng 001; Kai Zhang 008 (Multim. Tools Appl., 2024)

Mipmap-GS: Let Gaussians Deform with Scale-Specific Mipmap for Anti-Aliasing Rendering. - Jiameng Li; Yue Shi; Jiezhang Cao; Bingbing Ni; Wenjun Zhang 001; Kai Zhang 008; Luc Van Gool (3DV, 2025)

DORNet: A Degradation Oriented and Regularized Network for Blind Depth Super-Resolution. - Zhengxue Wang; Zhiqiang Yan 001; Jinshan Pan; Guangwei Gao; Kai Zhang 008; Jian Yang 003 (CVPR, 2025)

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. - Fei Wang 060; Xingyu Fu; James Y. Huang; Zekun Li 007; Qin Liu 010; Xiaogeng Liu; Mingyu Derek Ma; Nan Xu; Wenxuan Zhou; Kai Zhang 008; Tianyi Lorena Yan; Wenjie Jacky Mo; et al. (ICLR, 2025)

InfraFFN: A Feature Fusion Network leveraging dual-path convolution and self-attention for infrared image super-resolution. - Feiwei Qin; Zhengwei Shen; Ruiquan Ge; Kai Zhang 008; Fei Lin; Yeru Wang; Juan Manuel Górriz; Ahmed Elazab; Changmiao Wang (Knowl. Based Syst., 2025)

STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution. - Rui Xie; Yinhong Liu; Penghao Zhou; Chen Zhao 002; Jun Zhou; Kai Zhang 008; Zhenyu Zhang 005; Jian Yang 003; Zhenheng Yang; Ying Tai (CoRR, 2025)

LeX-Art: Rethinking Text Generation via Scalable High-Quality Data Synthesis. - Shitian Zhao; Qilong Wu; Xinyue Li 001; Bo Zhang 069; Ming Li; Qi Qin; Dongyang Liu; Kai Zhang 008; Hongsheng Li 001; Yu Qiao 001; Peng Gao 007; Bin Fu; et al. (CoRR, 2025)

Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured Meshes. - Kai Zhang 008; Dandan Zhu 001; Xiongkuo Min; Guangtao Zhai (CoRR, 2025)

VIP: Video Inpainting Pipeline for Real World Human Removal. - Huiming Sun; Yikang Li; Kangning Yang; Ruineng Li; Daitao Xing; Yangbo Xie; Lan Fu; Kai Zhang 008; Ming Chen; Jiaming Ding; Jiang Geng; Jie Cai 001; et al. (CoRR, 2025)

R1-Compress: Long Chain-of-Thought Compression via Chunk Compression and Search. - Yibo Wang; Li Shen 008; Huanjin Yao; Tiansheng Huang; Rui Liu; Naiqiang Tan; Jiaxing Huang 001; Kai Zhang 008; Dacheng Tao (CoRR, 2025)

A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking. - Zixiang Zhao; Haowen Bai; Bingxin Ke; Yukun Cui; Lilun Deng; Yulun Zhang 001; Kai Zhang 008; Konrad Schindler (CoRR, 2025)

Post-Training Quantization for Video Matting. - Tianrui Zhu; Houyuan Chen; Ruihao Gong; Michele Magno; Haotong Qin; Kai Zhang 008 (CoRR, 2025)

Engagement Prediction of Short Videos with Large Multimodal Models. - Wei Sun 029; Linhan Cao; Yuqin Cao; Weixia Zhang; Wen Wen; Kai Zhang 008; Zijian Chen 001; Fangfang Lu; Xiongkuo Min; Guangtao Zhai (CoRR, 2025)

A security enhanced certificateless aggregate signcryption scheme for VANETs. - Dong Li 016; Wentao Tang; Liangliang Wang; Yang Liu; Zhiquan Liu; Kai Zhang 008; Weiwei Li (Peer Peer Netw. Appl., 2025)