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2020 – today
- 2024
[j2]Wentian Zhang
, Haozhe Liu, Jinheng Xie, Yawen Huang, Yu Zhang, Yuexiang Li, Raghavendra Ramachandra, Yefeng Zheng:
Anomaly detection via gating highway connection for retinal fundus images. Pattern Recognit. 148: 110167 (2024)- [c17]Xin Zhang, Jinheng Xie, Yuan Yuan, Michael Bi Mi, Robby T. Tan:
HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping. AAAI 2024: 7323-7331 - [c16]Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jürgen Schmidhuber, Bernard Ghanem, Linlin Shen, Mike Zheng Shou:
Tune-an-Ellipse: CLIP Has Potential to Find what you Want. CVPR 2024: 13723-13732 - [c15]Kevin Qinghong Lin, Pengchuan Zhang, Difei Gao, Xide Xia, Joya Chen, Ziteng Gao, Jinheng Xie, Xuhong Xiao, Mike Zheng Shou:
Learning Video Context as Interleaved Multimodal Sequences. ECCV (49) 2024: 375-396 - [c14]Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin, Wei Xing, Juncheng Mo, Shuaicheng Huang, Jinheng Xie, Guangyuan Li, Junsheng Luan, Lei Zhao, Dalong Zhang, Lixia Chen:
Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt. IJCAI 2024: 7814-7822 - [i21]Songhe Deng, Wei Zhuo, Jinheng Xie, Linlin Shen:
Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation. CoRR abs/2401.09883 (2024) - [i20]Wentian Zhang, Haozhe Liu, Jinheng Xie, Francesco Faccio, Mike Zheng Shou, Jürgen Schmidhuber:
Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models. CoRR abs/2404.02747 (2024) - [i19]Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin, Wei Xing, Juncheng Mo, Shuaicheng Huang, Jinheng Xie, Guangyuan Li, Junsheng Luan, Lei Zhao, Dalong Zhang, Lixia Chen:
Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt. CoRR abs/2404.11474 (2024) - [i18]Jinheng Xie, Jiajun Feng, Zhaoxu Tian, Kevin Qinghong Lin, Yawen Huang, Xi Xia, Nanxu Gong, Xu Zuo, Jiaqi Yang, Yefeng Zheng, Mike Zheng Shou:
Learning Long-form Video Prior via Generative Pre-Training. CoRR abs/2404.15909 (2024) - [i17]Hai Ci, Yiren Song, Pei Yang, Jinheng Xie, Mike Zheng Shou:
WMAdapter: Adding WaterMark Control to Latent Diffusion Models. CoRR abs/2406.08337 (2024) - [i16]Kevin Qinghong Lin, Pengchuan Zhang, Difei Gao, Xide Xia, Joya Chen, Ziteng Gao, Jinheng Xie, Xuhong Xiao, Mike Zheng Shou:
Learning Video Context as Interleaved Multimodal Sequences. CoRR abs/2407.21757 (2024) - [i15]Jinheng Xie, Weijia Mao, Zechen Bai, David Junhao Zhang, Weihao Wang, Kevin Qinghong Lin, Yuchao Gu, Zhijie Chen, Zhenheng Yang, Mike Zheng Shou:
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation. CoRR abs/2408.12528 (2024) - 2023
- [j1]Ziqi Jin, Jinheng Xie, Bizhu Wu, Linlin Shen:
Weakly Supervised Pedestrian Segmentation for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1349-1362 (2023) - [c13]Xinquan Yang, Jinheng Xie, Xuechen Li, Xuguang Li, Linlin Shen, Yongqiang Deng:
TCSloT: Text Guided 3D Context and Slope Aware Triple Network for Dental Implant Position Prediction. BIBM 2023: 726-732 - [c12]Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou:
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion. ICCV 2023: 7418-7427 - [c11]Xinquan Yang, Jinheng Xie, Xuguang Li, Xuechen Li, Xin Li, Linlin Shen, Yongqiang Deng:
TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction. MICCAI (6) 2023: 317-326 - [c10]Songhe Deng, Wei Zhuo, Jinheng Xie, Linlin Shen:
QA-CLIMS: Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation. ACM Multimedia 2023: 5572-5583 - [c9]Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou:
Learning Visual Prior via Generative Pre-Training. NeurIPS 2023 - [c8]Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem:
Dynamically Masked Discriminator for GANs. NeurIPS 2023 - [i14]Jinheng Xie, Zhaochuan Luo, Yuexiang Li, Haozhe Liu, Linlin Shen, Mike Zheng Shou:
Open-World Weakly-Supervised Object Localization. CoRR abs/2304.08271 (2023) - [i13]Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou:
VisorGPT: Learning Visual Prior via Generative Pre-Training. CoRR abs/2305.13777 (2023) - [i12]Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem:
Dynamically Masked Discriminator for Generative Adversarial Networks. CoRR abs/2306.07716 (2023) - [i11]Xinquan Yang, Jinheng Xie, Xuguang Li, Xuechen Li, Xin Li, Linlin Shen, Yongqiang Deng:
TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction. CoRR abs/2306.14406 (2023) - [i10]Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou:
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion. CoRR abs/2307.10816 (2023) - [i9]Xinquan Yang, Jinheng Xie, Xuechen Li, Xuguang Li, Linlin Shen, Yongqiang Deng:
TCSloT: Text Guided 3D Context and Slope Aware Triple Network for Dental Implant Position Prediction. CoRR abs/2308.05355 (2023) - [i8]Xin Zhang, Jinheng Xie, Yuan Yuan, Michael Bi Mi, Robby T. Tan:
HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping. CoRR abs/2312.17492 (2023) - 2022
- [c7]Jinheng Xie, Jianfeng Xiang, Junliang Chen, Xianxu Hou, Xiaodong Zhao, Linlin Shen:
C2 AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation. CVPR 2022: 979-988 - [c6]Jinheng Xie, Xianxu Hou, Kai Ye, Linlin Shen:
CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation. CVPR 2022: 4473-4482 - [c5]Cheng Luo, Qinliang Lin, Weicheng Xie, Bizhu Wu, Jinheng Xie, Linlin Shen:
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity. CVPR 2022: 15294-15303 - [c4]Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng:
Decoupled Mixup for Out-of-Distribution Visual Recognition. ECCV Workshops (6) 2022: 451-464 - [c3]Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng:
Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays. MICCAI (3) 2022: 249-260 - [i7]Jinheng Xie, Xianxu Hou, Kai Ye, Linlin Shen:
Cross Language Image Matching for Weakly Supervised Semantic Segmentation. CoRR abs/2203.02668 (2022) - [i6]Cheng Luo, Qinliang Lin, Weicheng Xie, Bizhu Wu, Jinheng Xie, Linlin Shen:
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity. CoRR abs/2203.05151 (2022) - [i5]Jinheng Xie, Jianfeng Xiang, Junliang Chen, Xianxu Hou, Xiaodong Zhao, Linlin Shen:
Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation. CoRR abs/2203.13505 (2022) - [i4]Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng:
A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays. CoRR abs/2209.01988 (2022) - [i3]Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng:
Decoupled Mixup for Generalized Visual Recognition. CoRR abs/2210.14783 (2022) - 2021
- [c2]Jinheng Xie, Cheng Luo, Xiangping Zhu, Ziqi Jin, Weizeng Lu, Linlin Shen:
Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization. ICCV 2021: 132-141 - [c1]Jinheng Xie, Jun Wan, Linlin Shen, Zhihui Lai:
Think About Boundary: Fusing Multi-level Boundary Information for Landmark Heatmap Regression. IJCNN 2021: 1-8 - [i2]Jinheng Xie, Cheng Luo, Xiangping Zhu, Ziqi Jin, Weizeng Lu, Linlin Shen:
Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization. CoRR abs/2110.05741 (2021) - 2020
- [i1]Jinheng Xie, Jun Wan, Linlin Shen, Zhihui Lai:
Think about boundary: Fusing multi-level boundary information for landmark heatmap regression. CoRR abs/2008.10924 (2020)
Coauthor Index
aka: Linlin Shen
aka: Mike Zheng Shou
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