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2020 – today
- 2024
[j8]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): 87-100 (2024)- [c15]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: 6378-6386 - [i23]Zhengcong Fei, Mingyuan Fan, Changqian Yu, Junshi Huang:
Scalable Diffusion Models with State Space Backbone. CoRR abs/2402.05608 (2024) - [i22]Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Junshi Huang:
Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models. CoRR abs/2404.04478 (2024) - [i21]Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Youqiang Zhang, Junshi Huang:
Dimba: Transformer-Mamba Diffusion Models. CoRR abs/2406.01159 (2024) - [i20]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 abs/2406.14422 (2024) - [i19]Zhengcong Fei, Mingyuan Fan, Changqian Yu, Debang Li, Junshi Huang:
Scaling Diffusion Transformers to 16 Billion Parameters. CoRR abs/2407.11633 (2024) - [i18]Zhengcong Fei, Mingyuan Fan, Changqian Yu, Junshi Huang:
FLUX that Plays Music. CoRR abs/2409.00587 (2024) - 2023
- [j7]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): 1641-1652 (2023) - [j6]Dongyue Wu, Zilin Guo, Aoyan Li, Changqian Yu, Changxin Gao, Nong Sang:
Conditional Boundary Loss for Semantic Segmentation. IEEE Trans. Image Process. 32: 3717-3731 (2023) - [j5]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: 8868-8879 (2023) - [c14]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: 1609-1615 - [i17]Dongyue Wu, Zilin Guo, Aoyan Li, Changqian Yu, Changxin Gao, Nong Sang:
Semantic Segmentation via Pixel-to-Center Similarity Calculation. CoRR abs/2301.04870 (2023) - [i16]Jialong Zuo, Changqian Yu, Nong Sang, Changxin Gao:
PLIP: Language-Image Pre-training for Person Representation Learning. CoRR abs/2305.08386 (2023) - [i15]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 abs/2312.17071 (2023) - 2022
- [j4]Huai Qin, Changqian Yu, Changxin Gao, Nong Sang:
D2T: A Framework For transferring detection to tracking. Pattern Recognit. 126: 108544 (2022) - [c13]Yunsheng Ni, Depu Meng, Changqian Yu, Chengbin Quan, Dongchun Ren, Youjian Zhao:
CORE: Consistent Representation Learning for Face Forgery Detection. CVPR Workshops 2022: 12-21 - [i14]Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang:
Efficient Video Segmentation Models with Per-frame Inference. CoRR abs/2202.12427 (2022) - [i13]Yunsheng Ni, Depu Meng, Changqian Yu, Chengbin Quan, Dongchun Ren, Youjian Zhao:
CORE: Consistent Representation Learning for Face Forgery Detection. CoRR abs/2206.02749 (2022) - [i12]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 abs/2209.09723 (2022) - 2021
- [j3]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): 3051-3068 (2021) - [j2]Jiahui Liu, Changqian Yu, Beibei Yang, Changxin Gao, Nong Sang:
CSENet: Cascade semantic erasing network for weakly-supervised semantic segmentation. Neurocomputing 453: 885-895 (2021) - [j1]Changqian Yu, Yuanjie Shao, Changxin Gao, Nong Sang:
CondNet: Conditional Classifier for Scene Segmentation. IEEE Signal Process. Lett. 28: 758-762 (2021) - [c12]Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, Jingdong Wang:
Lite-HRNet: A Lightweight High-Resolution Network. CVPR 2021: 10440-10450 - [c11]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: 926-934 - [i11]Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, Jingdong Wang:
Lite-HRNet: A Lightweight High-Resolution Network. CoRR abs/2104.06403 (2021) - [i10]Changqian Yu, Yuanjie Shao, Changxin Gao, Nong Sang:
CondNet: Conditional Classifier for Scene Segmentation. CoRR abs/2109.10322 (2021) - [i9]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 abs/2111.13010 (2021) - 2020
- [c10]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: 12967-12974 - [c9]Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang:
Context Prior for Scene Segmentation. CVPR 2020: 12413-12422 - [c8]Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang:
Efficient Semantic Video Segmentation with Per-Frame Inference. ECCV (10) 2020: 352-368 - [c7]Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang:
Representative Graph Neural Network. ECCV (7) 2020: 379-396 - [i8]Shizhen Zhao, Changxin Gao, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang:
GTNet: Generative Transfer Network for Zero-Shot Object Detection. CoRR abs/2001.06812 (2020) - [i7]Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang:
Efficient Semantic Video Segmentation with Per-frame Inference. CoRR abs/2002.11433 (2020) - [i6]Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang:
Context Prior for Scene Segmentation. CoRR abs/2004.01547 (2020) - [i5]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 abs/2004.02147 (2020) - [i4]Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang:
Representative Graph Neural Network. CoRR abs/2008.05202 (2020)
2010 – 2019
- 2019
- [c6]Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang:
An End-To-End Network for Panoptic Segmentation. CVPR 2019: 6172-6181 - [c5]Beibei Yang, Changqian Yu, Jiahui Liu, Changxin Gao, Nong Sang:
Graph-Based Scale-Aware Network for Human Parsing. PRCV (2) 2019: 279-290 - [i3]Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang:
An End-to-End Network for Panoptic Segmentation. CoRR abs/1903.05027 (2019) - 2018
- [c4]Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang:
Learning a Discriminative Feature Network for Semantic Segmentation. CVPR 2018: 1857-1866 - [c3]Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang:
BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation. ECCV (13) 2018: 334-349 - [c2]Huai Qin, Zhixiong Pi, Changqian Yu, Changxin Gao, Jin-Gang Yu, Nong Sang:
Spatially Attentive Correlation Filters for Visual Tracking. ICIP 2018: 2695-2699 - [c1]Ruochen Zheng, Yang Chen, Changqian Yu, Chuchu Han, Changxin Gao, Nong Sang:
Center-Level Verification Model for Person Re-identification. PRCV (1) 2018: 98-107 - [i2]Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang:
Learning a Discriminative Feature Network for Semantic Segmentation. CoRR abs/1804.09337 (2018) - [i1]Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang:
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation. CoRR abs/1808.00897 (2018)
Coauthor Index
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