Xie, Jinheng

19 publications

CVPR 2025 A Simple Data Augmentation for Feature Distribution Skewed Federated Learning Yunlu Yan, Huazhu Fu, Yuexiang Li, Jinheng Xie, Jun Ma, Guang Yang, Lei Zhu

TMLR 2025 Faster Diffusion Through Temporal Attention Decomposition Haozhe Liu, Wentian Zhang, Jinheng Xie, Francesco Faccio, Mengmeng Xu, Tao Xiang, Mike Zheng Shou, Juan-Manuel Perez-Rua, Jürgen Schmidhuber

ICCV 2025 FineMotion: A Dataset and Benchmark with Both Spatial and Temporal Annotation for Fine-Grained Motion Generation and Editing Bizhu Wu, Jinheng Xie, Meidan Ding, Zhe Kong, Jianfeng Ren, Ruibin Bai, Rong Qu, Linlin Shen

CVPR 2025 MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation Across Multiple Granularities Bizhu Wu, Jinheng Xie, Keming Shen, Zhe Kong, Jianfeng Ren, Ruibin Bai, Rong Qu, Linlin Shen

NeurIPS 2025 Show-O2: Improved Native Unified Multimodal Models Jinheng Xie, Zhenheng Yang, Mike Zheng Shou

ICLR 2025 Show-O: One Single Transformer to Unify Multimodal Understanding and Generation Jinheng Xie, Weijia Mao, Zechen Bai, David Junhao Zhang, Weihao Wang, Kevin Qinghong Lin, Yuchao Gu, Zhijie Chen, Zhenheng Yang, Mike Zheng Shou

ICML 2025 WMAdapter: Adding WaterMark Control to Latent Diffusion Models Hai Ci, Yiren Song, Pei Yang, Jinheng Xie, Mike Zheng Shou

AAAI 2024 HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping Xin Zhang, Jinheng Xie, Yuan Yuan, Michael Bi Mi, Robby T. Tan

ECCV 2024 Learning Video Context as Interleaved Multimodal Sequences Kevin Qinghong Lin, Pengchuan Zhang, Difei Gao, Xide Xia, Joya Chen, Ziteng Gao, Jinheng Xie, Xuhong Xiao, Mike Zheng Shou

IJCAI 2024 Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-Aware and Layer-Aware Prompt Zhanjie Zhang, Quanwei Zhang, Huaizhong Lin, Wei Xing, Juncheng Mo, Shuaicheng Huang, Jinheng Xie, Guangyuan Li, Junsheng Luan, Lei Zhao, Dalong Zhang, Lixia Chen

CVPR 2024 Tune-an-Ellipse: CLIP Has Potential to Find What You Want Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jurgen Schmidhuber, Bernard Ghanem, Linlin Shen, Mike Zheng Shou

ICCV 2023 BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou

NeurIPS 2023 Dynamically Masked Discriminator for GANs Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem

NeurIPS 2023 Learning Visual Prior via Generative Pre-Training Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou

CVPR 2022 C2AM: Contrastive Learning of Class-Agnostic Activation mAP for Weakly Supervised Object Localization and Semantic Segmentation Jinheng Xie, Jianfeng Xiang, Junliang Chen, Xianxu Hou, Xiaodong Zhao, Linlin Shen

CVPR 2022 CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation Jinheng Xie, Xianxu Hou, Kai Ye, Linlin Shen

ECCVW 2022 Decoupled Mixup for Out-of-Distribution Visual Recognition Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng

CVPR 2022 Frequency-Driven Imperceptible Adversarial Attack on Semantic Similarity Cheng Luo, Qinliang Lin, Weicheng Xie, Bizhu Wu, Jinheng Xie, Linlin Shen

ICCV 2021 Online Refinement of Low-Level Feature Based Activation mAP for Weakly Supervised Object Localization Jinheng Xie, Cheng Luo, Xiangping Zhu, Ziqi Jin, Weizeng Lu, Linlin Shen