Changqian Yu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 45

Top Topics

Semantic Segmentation

Diffusion Models

Top Venues

IEEE Signal Process. Lett.

Publications

Dongyue Wu, Zilin Guo, Aoyan Li, Changqian Yu, Nong Sang, Changxin Gao
Semantic segmentation via pixel-to-center similarity calculation. CAAI Trans. Intell. Technol. 9 (1) (2024)
Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Junshi Huang
Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models. CoRR (2024)
Zhengcong Fei, Mingyuan Fan, Changqian Yu, Junshi Huang
Scalable Diffusion Models with State Space Backbone. CoRR (2024)
Zhengze Xu, Dongyue Wu, Changqian Yu, Xiangxiang Chu, Nong Sang, Changxin Gao
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. AAAI (2024)
Mingkun Wang, Xiaoguang Ren, Ruochun Jin, Minglong Li, Xiaochuan Zhang, Changqian Yu, Mingxu Wang, Wenjing Yang
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding. CoRR (2024)
Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Junshi Huang
Scaling Diffusion Transformers to 16 Billion Parameters. CoRR (2024)
Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Youqiang Zhang, Junshi Huang
Dimba: Transformer-Mamba Diffusion Models. CoRR (2024)
Dongyue Wu, Zilin Guo, Aoyan Li, Changqian Yu, Changxin Gao, Nong Sang
Conditional Boundary Loss for Semantic Segmentation. IEEE Trans. Image Process. 32 (2023)
Beibei Yang, Changqian Yu, Jin-Gang Yu, Changxin Gao, Nong Sang
Pose-Guided Hierarchical Semantic Decomposition and Composition for Human Parsing. IEEE Trans. Cybern. 53 (3) (2023)
Jialong Zuo, Changqian Yu, Nong Sang, Changxin Gao
PLIP: Language-Image Pre-training for Person Representation Learning. CoRR (2023)
Depu Meng, Changqian Yu, Jiajun Deng, Deheng Qian, Houqiang Li, Dongchun Ren
Hybrid Motion Representation Learning for Prediction From Raw Sensor Data. IEEE Trans. Multim. 25 (2023)
Zhengze Xu, Dongyue Wu, Changqian Yu, Xiangxiang Chu, Nong Sang, Changxin Gao
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. CoRR (2023)
Dongyue Wu, Zilin Guo, Aoyan Li, Changqian Yu, Changxin Gao, Nong Sang
Semantic Segmentation via Pixel-to-Center Similarity Calculation. CoRR (2023)
Mingkun Wang, Xinge Zhu, Changqian Yu, Wei Li, Yuexin Ma, Ruochun Jin, Xiaoguang Ren, Dongchun Ren, Mingxu Wang, Wenjing Yang
GANet: Goal Area Network for Motion Forecasting. ICRA (2023)
Yunsheng Ni, Depu Meng, Changqian Yu, Chengbin Quan, Dongchun Ren, Youjian Zhao
CORE: Consistent Representation Learning for Face Forgery Detection. CVPR Workshops (2022)
Huai Qin, Changqian Yu, Changxin Gao, Nong Sang
D2T: A Framework For transferring detection to tracking. Pattern Recognit. 126 (2022)
Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang
Efficient Video Segmentation Models with Per-frame Inference. CoRR (2022)
Mingkun Wang, Xinge Zhu, Changqian Yu, Wei Li, Yuexin Ma, Ruochun Jin, Xiaoguang Ren, Dongchun Ren, Mingxu Wang, Wenjing Yang
GANet: Goal Area Network for Motion Forecasting. CoRR (2022)
Yunsheng Ni, Depu Meng, Changqian Yu, Chengbin Quan, Dongchun Ren, Youjian Zhao
CORE: Consistent Representation Learning for Face Forgery Detection. CoRR (2022)
Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, Jingdong Wang
Lite-HRNet: A Lightweight High-Resolution Network. CoRR (2021)
Changqian Yu, Changxin Gao, Jingbo Wang, Gang Yu, Chunhua Shen, Nong Sang
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation. Int. J. Comput. Vis. 129 (11) (2021)
Changqian Yu, Yuanjie Shao, Changxin Gao, Nong Sang
CondNet: Conditional Classifier for Scene Segmentation. IEEE Signal Process. Lett. 28 (2021)
Jiahui Liu, Changqian Yu, Beibei Yang, Changxin Gao, Nong Sang
CSENet: Cascade semantic erasing network for weakly-supervised semantic segmentation. Neurocomputing 453 (2021)
Rui Wang, Jian Chen, Gang Yu, Li Sun, Changqian Yu, Changxin Gao, Nong Sang
Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation. CoRR (2021)
Rui Wang, Jian Chen, Gang Yu, Li Sun, Changqian Yu, Changxin Gao, Nong Sang
Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation. ACM Multimedia (2021)
Changqian Yu, Yuanjie Shao, Changxin Gao, Nong Sang
CondNet: Conditional Classifier for Scene Segmentation. CoRR (2021)
Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, Jingdong Wang
Lite-HRNet: A Lightweight High-Resolution Network. CVPR (2021)
Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang
Efficient Semantic Video Segmentation with Per-Frame Inference. ECCV (10) (2020)
Changqian Yu, Changxin Gao, Jingbo Wang, Gang Yu, Chunhua Shen, Nong Sang
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation. CoRR (2020)
Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang
Context Prior for Scene Segmentation. CVPR (2020)
Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang
Context Prior for Scene Segmentation. CoRR (2020)
Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang
Representative Graph Neural Network. CoRR (2020)
Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang
Efficient Semantic Video Segmentation with Per-frame Inference. CoRR (2020)
Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang
Representative Graph Neural Network. ECCV (7) (2020)
Shizhen Zhao, Changxin Gao, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang
GTNet: Generative Transfer Network for Zero-Shot Object Detection. CoRR (2020)
Shizhen Zhao, Changxin Gao, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang
GTNet: Generative Transfer Network for Zero-Shot Object Detection. AAAI (2020)
Beibei Yang, Changqian Yu, Jiahui Liu, Changxin Gao, Nong Sang
Graph-Based Scale-Aware Network for Human Parsing. PRCV (2) (2019)
Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang
An End-To-End Network for Panoptic Segmentation. CVPR (2019)
Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang
An End-to-End Network for Panoptic Segmentation. CoRR (2019)
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation. CoRR (2018)
Huai Qin, Zhixiong Pi, Changqian Yu, Changxin Gao, Jin-Gang Yu, Nong Sang
Spatially Attentive Correlation Filters for Visual Tracking. ICIP (2018)
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang
BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation. ECCV (13) (2018)
Ruochen Zheng, Yang Chen, Changqian Yu, Chuchu Han, Changxin Gao, Nong Sang
Center-Level Verification Model for Person Re-identification. PRCV (1) (2018)
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang
Learning a Discriminative Feature Network for Semantic Segmentation. CVPR (2018)
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang
Learning a Discriminative Feature Network for Semantic Segmentation. CoRR (2018)