Liver Segmentation in CT Images Using a Non-Local Fully Convolutional Neural Network. - Lei Chen 073; Hong Song; Qiang Li 049; Yutao Cui; Jian Yang 009; Xiaohua Tony Hu (BIBM, 2019)

Liver tumor segmentation in CT volumes using an adversarial densely connected network. - Lei Chen 073; Hong Song; Chi Wang; Yutao Cui; Jian Yang 009; Xiaohua Hu 001; Le Zhang 004 (BMC Bioinform., 2019)

Femoral head segmentation based on improved fully convolutional neural network for ultrasound images. - Lei Chen 073; Yutao Cui; Hong Song; Bingxuan Huang; Jian Yang 009; Di Zhao; Bei Xia (Signal Image Video Process., 2020)

The Ninth Visual Object Tracking VOT2021 Challenge Results. - Matej Kristan; Jirí Matas; Ales Leonardis; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Hyung Jin Chang; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Jani Käpylä; et al. (ICCVW, 2021)

Target Transformed Regression for Accurate Tracking. - Yutao Cui; Cheng Jiang 005; Limin Wang 002; Gangshan Wu (CoRR, 2021)

The Tenth Visual Object Tracking VOT2022 Challenge Results. - Matej Kristan; Ales Leonardis; Jirí Matas; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Hyung Jin Chang; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Johanna Björklund; et al. (ECCV Workshops (8), 2022)

Fully convolutional online tracking. - Yutao Cui; Cheng Jiang 005; Limin Wang 002; Gangshan Wu (Comput. Vis. Image Underst., 2022)

Denoising of MR and CT images using cascaded multi-supervision convolutional neural networks with progressive training. - Hong Song; Lei Chen 073; Yutao Cui; Qiang Li 049; Qi Wang; Jingfan Fan; Jian Yang 009; Le Zhang 004 (Neurocomputing, 2022)

SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes. - Yutao Cui; Chenkai Zeng; Xiaoyu Zhao; Yichun Yang; Gangshan Wu; Limin Wang 002 (ICCV, 2023)

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. - Matej Kristan; Jirí Matas; Martin Danelljan; Michael Felsberg; Hyung Jin Chang; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Zhongqun Zhang; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; et al. (ICCV (Workshops), 2023)

MixFormerV2: Efficient Fully Transformer Tracking. - Yutao Cui; Tianhui Song; Gangshan Wu; Limin Wang 002 (NeurIPS, 2023)

Joint Modeling of Feature, Correspondence, and a Compressed Memory for Video Object Segmentation. - Jiaming Zhang 010; Yutao Cui; Gangshan Wu; Limin Wang 002 (CoRR, 2023)

StableDrag: Stable Dragging for Point-Based Image Editing. - Yutao Cui; Xiaotong Zhao; Guozhen Zhang; Shengming Cao; Kai Ma 002; Limin Wang 002 (ECCV (58), 2024)

The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. - Matej Kristan; Jirí Matas; Pavel Tokmakov; Michael Felsberg; Luka Cehovin Zajc; Alan Lukezic; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; Hyung Jin Chang; Gustavo Fernández; Minasadat Attari; et al. (ECCV Workshops (7), 2024)

VFIMamba: Video Frame Interpolation with State Space Models. - Guozhen Zhang; Chunxu Liu; Yutao Cui; Xiaotong Zhao; Kai Ma 002; Limin Wang 002 (NeurIPS, 2024)

HunyuanVideo: A Systematic Framework For Large Video Generative Models. - Weijie Kong; Qi Tian 001; Zijian Zhang 002; Rox Min; Zuozhuo Dai; Jin Zhou; Jiangfeng Xiong; Xin Li; Bo Wu; Jianwei Zhang; Kathrina Wu; Qin Lin; et al. (CoRR, 2024)

MixFormer: End-to-End Tracking With Iterative Mixed Attention. - Yutao Cui; Cheng Jiang 005; Gangshan Wu; Limin Wang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Motion-Aware Generative Frame Interpolation. - Guozhen Zhang; Yuhan Zhu; Yutao Cui; Xiaotong Zhao; Kai Ma 002; Limin Wang 002 (CoRR, 2025)

MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE. - Junzhe Li; Yutao Cui; Tao Huang; Yinping Ma; Chun Fan; Miles Yang; Zhao Zhong (CoRR, 2025)

JointFormer: A Unified Framework With Joint Modeling for Video Object Segmentation. - Jiaming Zhang 010; Yutao Cui; Gangshan Wu; Limin Wang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)