Learning a Discriminative Feature Network for Semantic Segmentation. - Changqian Yu; Jingbo Wang 003; Chao Peng 001; Changxin Gao; Gang Yu 002; Nong Sang (CVPR, 2018)

BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation. - Changqian Yu; Jingbo Wang 003; Chao Peng 001; Changxin Gao; Gang Yu 002; Nong Sang (ECCV (13), 2018)

Spatially Attentive Correlation Filters for Visual Tracking. - Huai Qin; Zhixiong Pi; Changqian Yu; Changxin Gao; Jin-Gang Yu; Nong Sang (ICIP, 2018)

Center-Level Verification Model for Person Re-identification. - Ruochen Zheng; Yang Chen; Changqian Yu; Chuchu Han; Changxin Gao; Nong Sang (PRCV (1), 2018)

An End-To-End Network for Panoptic Segmentation. - Huanyu Liu; Chao Peng 001; Changqian Yu; Jingbo Wang 003; Xu Liu 017; Gang Yu 002; Wei Jiang 009 (CVPR, 2019)

Graph-Based Scale-Aware Network for Human Parsing. - Beibei Yang; Changqian Yu; Jiahui Liu; Changxin Gao; Nong Sang (PRCV (2), 2019)

GTNet: Generative Transfer Network for Zero-Shot Object Detection. - Shizhen Zhao; Changxin Gao; Yuanjie Shao; Lerenhan Li; Changqian Yu; Zhong Ji; Nong Sang (AAAI, 2020)

Context Prior for Scene Segmentation. - Changqian Yu; Jingbo Wang 003; Changxin Gao; Gang Yu 002; Chunhua Shen; Nong Sang (CVPR, 2020)

Efficient Semantic Video Segmentation with Per-Frame Inference. - Yifan Liu 001; Chunhua Shen; Changqian Yu; Jingdong Wang 001 (ECCV (10), 2020)

Representative Graph Neural Network. - Changqian Yu; Yifan Liu 001; Changxin Gao; Chunhua Shen; Nong Sang (ECCV (7), 2020)

Lite-HRNet: A Lightweight High-Resolution Network. - Changqian Yu; Bin Xiao 004; Changxin Gao; Lu Yuan; Lei Zhang 001; Nong Sang; Jingdong Wang 001 (CVPR, 2021)

Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation. - Rui Wang 099; Jian Chen; Gang Yu 002; Li Sun 012; Changqian Yu; Changxin Gao; Nong Sang (ACM Multimedia, 2021)

BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation. - Changqian Yu; Changxin Gao; Jingbo Wang 003; Gang Yu 002; Chunhua Shen; Nong Sang (Int. J. Comput. Vis., 2021)

CSENet: Cascade semantic erasing network for weakly-supervised semantic segmentation. - Jiahui Liu; Changqian Yu; Beibei Yang; Changxin Gao; Nong Sang (Neurocomputing, 2021)

CondNet: Conditional Classifier for Scene Segmentation. - Changqian Yu; Yuanjie Shao; Changxin Gao; Nong Sang (IEEE Signal Process. Lett., 2021)

CORE: Consistent Representation Learning for Face Forgery Detection. - Yunsheng Ni; Depu Meng; Changqian Yu; Chengbin Quan; Dongchun Ren; Youjian Zhao (CVPR Workshops, 2022)

Efficient Video Segmentation Models with Per-frame Inference. - Yifan Liu 001; Chunhua Shen; Changqian Yu; Jingdong Wang 001 (CoRR, 2022)

D2T: A Framework For transferring detection to tracking. - Huai Qin; Changqian Yu; Changxin Gao; Nong Sang (Pattern Recognit., 2022)

GANet: Goal Area Network for Motion Forecasting. - Mingkun Wang; Xinge Zhu; Changqian Yu; Wei Li 111; Yuexin Ma; Ruochun Jin; Xiaoguang Ren; Dongchun Ren; Mingxu Wang; Wenjing Yang 002 (ICRA, 2023)

PLIP: Language-Image Pre-training for Person Representation Learning. - Jialong Zuo; Changqian Yu; Nong Sang; Changxin Gao (CoRR, 2023)

Conditional Boundary Loss for Semantic Segmentation. - Dongyue Wu; Zilin Guo; Aoyan Li; Changqian Yu; Changxin Gao; Nong Sang (IEEE Trans. Image Process., 2023)

Hybrid Motion Representation Learning for Prediction From Raw Sensor Data. - Depu Meng; Changqian Yu; Jiajun Deng; Deheng Qian; Houqiang Li; Dongchun Ren (IEEE Trans. Multim., 2023)

Pose-Guided Hierarchical Semantic Decomposition and Composition for Human Parsing. - Beibei Yang; Changqian Yu; Jin-Gang Yu; Changxin Gao; Nong Sang (IEEE Trans. Cybern., 2023)

SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. - Zhengze Xu; Dongyue Wu; Changqian Yu; Xiangxiang Chu; Nong Sang; Changxin Gao (AAAI, 2024)

PLIP: Language-Image Pre-training for Person Representation Learning. - Jialong Zuo; Jiahao Hong; Feng Zhang 039; Changqian Yu; Hanyu Zhou; Changxin Gao; Nong Sang; Jingdong Wang 001 (NeurIPS, 2024)

Scalable Diffusion Models with State Space Backbone. - Zhengcong Fei; Mingyuan Fan 002; Changqian Yu; Junshi Huang (CoRR, 2024)

Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models. - Zhengcong Fei; Mingyuan Fan 002; Changqian Yu; Debang Li; Junshi Huang (CoRR, 2024)

Dimba: Transformer-Mamba Diffusion Models. - Zhengcong Fei; Mingyuan Fan 002; Changqian Yu; Debang Li; Youqiang Zhang; Junshi Huang (CoRR, 2024)

FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding. - Mingkun Wang; Xiaoguang Ren; Ruochun Jin; Minglong Li; Xiaochuan Zhang; Changqian Yu; Mingxu Wang; Wenjing Yang 002 (CoRR, 2024)

Scaling Diffusion Transformers to 16 Billion Parameters. - Zhengcong Fei; Mingyuan Fan 002; Changqian Yu; Debang Li; Junshi Huang (CoRR, 2024)

FLUX that Plays Music. - Zhengcong Fei; Mingyuan Fan 002; Changqian Yu; Junshi Huang (CoRR, 2024)

MovieCharacter: A Tuning-Free Framework for Controllable Character Video Synthesis. - Di Qiu; Chengyu Zheng; Rui Wang 099; Mingyuan Fan 002; Changqian Yu; Junshi Huan; Xiang Wen (CoRR, 2024)

Video Diffusion Transformers are In-Context Learners. - Zhengcong Fei; Di Qiu; Changqian Yu; Debang Li; Mingyuan Fan 002; Xiang Wen (CoRR, 2024)

Semantic segmentation via pixel-to-center similarity calculation. - Dongyue Wu; Zilin Guo; Aoyan Li; Changqian Yu; Nong Sang; Changxin Gao (CAAI Trans. Intell. Technol., 2024)

Ingredients: Blending Custom Photos with Video Diffusion Transformers. - Zhengcong Fei; Debang Li; Di Qiu; Changqian Yu; Mingyuan Fan 002 (CoRR, 2025)

SkyReels-A1: Expressive Portrait Animation in Video Diffusion Transformers. - Di Qiu; Zhengcong Fei; Rui Wang 099; Jialin Bai; Changqian Yu; Mingyuan Fan 002; Guibin Chen; Xiang Wen (CoRR, 2025)