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ORCIDJiahua Dong 0001
Person information
- affiliation: Chinese Academy of Sciences, Shenyang Institute of Automation, China
- affiliation: University of Chinese Academy of Sciences, Beijing, China
Other persons with the same name
- Jiahua Dong — disambiguation page
- Jiahua Dong 0002 — University of Illinois Urbana-Champaign. IL, USA
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2020 – today
- 2025
[j23]Chenxi Liu
, Gan Sun, Wenqi Liang, Jiahua Dong, Can Qin, Yang Cong:
MuseumMaker: Continual Style Customization Without Catastrophic Forgetting. IEEE Trans. Image Process. 34: 2499-2512 (2025)- [c19]Duzhen Zhang, Yong Ren, Zhong-Zhi Li, Yahan Yu, Jiahua Dong, Chenxing Li, Zhilong Ji, Jinfeng Bai:
Enhancing Multimodal Continual Instruction Tuning with BranchLoRA. ACL (1) 2025: 5743-5756 - [i44]Jiahang Tu, Qian Feng, Chufan Chen, Jiahua Dong, Hanbin Zhao, Chao Zhang, Hui Qian:
CE-SDWV: Effective and Efficient Concept Erasure for Text-to-Image Diffusion Models via a Semantic-Driven Word Vocabulary. CoRR abs/2501.15562 (2025) - [i43]Meng Cao, Pengfei Hu, Yingyao Wang, Jihao Gu, Haoran Tang, Haoze Zhao, Jiahua Dong, Wangbo Yu, Ge Zhang, Ian Reid, Xiaodan Liang:
Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models. CoRR abs/2503.18923 (2025) - [i42]Hao Fu, Hanbin Zhao, Jiahua Dong, Chao Zhang, Hui Qian:
IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting. CoRR abs/2503.20612 (2025) - [i41]Duzhen Zhang, Yong Ren, Zhong-Zhi Li, Yahan Yu, Jiahua Dong, Chenxing Li, Zhilong Ji, Jinfeng Bai:
Enhancing Multimodal Continual Instruction Tuning with BranchLoRA. CoRR abs/2506.02041 (2025) - [i40]Duzhen Zhang, Chenxing Li, Jiahua Dong, Qi Liu, Dong Yu:
Exploring Stability-Plasticity Trade-offs for Continual Named Entity Recognition. CoRR abs/2508.03259 (2025) - [i39]Jiahua Dong, Hui Yin, Wenqi Liang, Hanbin Zhao, Henghui Ding, Nicu Sebe, Salman Khan, Fahad Shahbaz Khan:
Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation. CoRR abs/2508.08612 (2025) - [i38]Duzhen Zhang, Zixiao Wang, Zhong-Zhi Li, Yahan Yu, Shuncheng Jia, Jiahua Dong, Haotian Xu, Xing Wu, Yingying Zhang, Tielin Zhang, Jie Yang, Xiuying Chen, Le Song:
MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph. CoRR abs/2508.12393 (2025) - [i37]Wenqi Liang, Gan Sun, Yao He, Jiahua Dong, Suyan Dai, Ivan Laptev, Salman H. Khan, Yang Cong:
PixelVLA: Advancing Pixel-level Understanding in Vision-Language-Action Model. CoRR abs/2511.01571 (2025) - [i36]Jiahua Dong, Xudong Wang, Wenqi Liang, Zongyan Han, Meng Cao, Duzhen Zhang, Hanbin Zhao, Zhi Han, Salman H. Khan, Fahad Shahbaz Khan:
Bring Your Dreams to Life: Continual Text-to-Video Customization. CoRR abs/2512.05802 (2025) - 2024
- [j22]Jiahua Dong, Yang Cong, Gan Sun, Zhen Fang, Zhengming Ding:
Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1664-1681 (2024) - [j21]Jiahua Dong, Hongliu Li, Yang Cong, Gan Sun, Yulun Zhang, Luc Van Gool:
No One Left Behind: Real-World Federated Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2054-2070 (2024) - [j20]Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong:
Create Your World: Lifelong Text-to-Image Diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6454-6470 (2024) - [j19]Yunge Cui, Yinlong Zhang, Jiahua Dong, Haibo Sun, Xieyuanli Chen, Feng Zhu:
LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud. IEEE Robotics Autom. Lett. 9(3): 2128-2135 (2024) - [j18]Wei Cong, Yang Cong, Gan Sun, Yuyang Liu, Jiahua Dong:
Self-Paced Weight Consolidation for Continual Learning. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2209-2222 (2024) - [j17]Wei Cong, Yang Cong, Jiahua Dong, Gan Sun, Henghui Ding:
Gradient-Semantic Compensation for Incremental Semantic Segmentation. IEEE Trans. Multim. 26: 5561-5574 (2024) - [j16]Haibin Yu, Yang Cong, Gan Sun, Dongdong Hou, Yuyang Liu, Jiahua Dong:
Open-Ended Online Learning for Autonomous Visual Perception. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10178-10198 (2024) - [j15]Bingtao Ma, Yang Cong, Jiahua Dong:
Topology-Aware Graph Convolution Network for Few-Shot Incremental 3-D Object Learning. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 324-337 (2024) - [c18]Duzhen Zhang, Yahan Yu, Jiahua Dong, Chenxing Li, Dan Su, Chenhui Chu, Dong Yu:
MM-LLMs: Recent Advances in MultiModal Large Language Models. ACL (Findings) 2024: 12401-12430 - [c17]Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang:
Xformer: Hybrid X-Shaped Transformer for Image Denoising. ICLR 2024 - [c16]Jiahua Dong, Wenqi Liang, Hongliu Li, Duzhen Zhang, Meng Cao, Henghui Ding, Salman H. Khan, Fahad Shahbaz Khan:
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization? NeurIPS 2024 - [i35]Duzhen Zhang, Yahan Yu, Chenxing Li, Jiahua Dong, Dan Su, Chenhui Chu, Dong Yu:
MM-LLMs: Recent Advances in MultiModal Large Language Models. CoRR abs/2401.13601 (2024) - [i34]Lixu Wang, Yang Zhao, Jiahua Dong, Ating Yin, Qinbin Li, Xiao Wang, Dusit Niyato, Qi Zhu:
Federated Learning with New Knowledge: Fundamentals, Advances, and Futures. CoRR abs/2402.02268 (2024) - [i33]Wenqi Liang, Gan Sun, Qian He, Yu Ren, Jiahua Dong, Yang Cong:
Never-Ending Embodied Robot Learning. CoRR abs/2403.00336 (2024) - [i32]Chenxi Liu, Gan Sun, Wenqi Liang, Jiahua Dong, Can Qin, Yang Cong:
MuseumMaker: Continual Style Customization without Catastrophic Forgetting. CoRR abs/2404.16612 (2024) - [i31]Jiahua Dong, Hui Yin, Hongliu Li, Wenbo Li, Yulun Zhang, Salman Khan, Fahad Shahbaz Khan:
Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging. CoRR abs/2406.00449 (2024) - [i30]Qian Feng, Hanbin Zhao, Chao Zhang, Jiahua Dong, Henghui Ding, Yu-Gang Jiang, Hui Qian:
PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer. CoRR abs/2407.03813 (2024) - [i29]Jiahua Dong, Wenqi Liang, Hongliu Li, Duzhen Zhang, Meng Cao, Henghui Ding, Salman H. Khan, Fahad Shahbaz Khan:
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization? CoRR abs/2410.17594 (2024) - [i28]Meng Cao, Yuyang Liu, Yingfei Liu, Tiancai Wang, Jiahua Dong, Henghui Ding, Xiangyu Zhang, Ian Reid, Xiaodan Liang:
Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models. CoRR abs/2411.02564 (2024) - [i27]Duzhen Zhang, Yahan Yu, Chenxing Li, Jiahua Dong, Dong Yu:
Federated Incremental Named Entity Recognition. CoRR abs/2411.11623 (2024) - 2023
- [j14]Yunge Cui, Xieyuanli Chen, Yinlong Zhang, Jiahua Dong, Qingxiao Wu, Feng Zhu:
BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM. IEEE Robotics Autom. Lett. 8(5): 2828-2835 (2023) - [j13]Yu Ren, Yang Cong, Jiahua Dong, Gan Sun:
Uni3DA: Universal 3D Domain Adaptation for Object Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(1): 379-392 (2023) - [j12]Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu:
InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6955-6967 (2023) - [c15]Duzhen Zhang, Hongliu Li, Wei Cong, Rongtao Xu, Jiahua Dong, Xiuyi Chen:
Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition. CIKM 2023: 3319-3329 - [c14]Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai:
Federated Incremental Semantic Segmentation. CVPR 2023: 3934-3943 - [c13]Duzhen Zhang, Wei Cong, Jiahua Dong, Yahan Yu, Xiuyi Chen, Yonggang Zhang, Zhen Fang:
Continual Named Entity Recognition without Catastrophic Forgetting. EMNLP 2023: 8186-8197 - [c12]Jiahua Dong, Wenqi Liang, Yang Cong, Gan Sun:
Heterogeneous Forgetting Compensation for Class-Incremental Learning. ICCV 2023: 11708-11717 - [c11]Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo:
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) 2023: 1788-1810 - [c10]Wenqi Liang, Gan Sun, Chenxi Liu, Jiahua Dong, Kangru Wang:
I3DOD: Towards Incremental 3D Object Detection via Prompting. IROS 2023: 5738-5743 - [i26]Jiahua Dong, Yang Cong, Gan Sun, Yulun Zhang, Bernt Schiele, Dengxin Dai:
No One Left Behind: Real-World Federated Class-Incremental Learning. CoRR abs/2302.00903 (2023) - [i25]Jiahua Dong, Yang Cong, Gan Sun, Lixu Wang, Lingjuan Lyu, Jun Li, Ender Konukoglu:
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation. CoRR abs/2302.09886 (2023) - [i24]Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang:
Xformer: Hybrid X-Shaped Transformer for Image Denoising. CoRR abs/2303.06440 (2023) - [i23]Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai:
Federated Incremental Semantic Segmentation. CoRR abs/2304.04620 (2023) - [i22]Wei Cong, Yang Cong, Jiahua Dong, Gan Sun, Henghui Ding:
Gradient-Semantic Compensation for Incremental Semantic Segmentation. CoRR abs/2307.10822 (2023) - [i21]Wei Cong, Yang Cong, Gan Sun, Yuyang Liu, Jiahua Dong:
Self-paced Weight Consolidation for Continual Learning. CoRR abs/2307.10845 (2023) - [i20]Jiahua Dong, Wenqi Liang, Yang Cong, Gan Sun:
Heterogeneous Forgetting Compensation for Class-Incremental Learning. CoRR abs/2308.03374 (2023) - [i19]Duzhen Zhang, Hongliu Li, Wei Cong, Rongtao Xu, Jiahua Dong, Xiuyi Chen:
Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognition. CoRR abs/2308.08793 (2023) - [i18]Wenqi Liang, Gan Sun, Chenxi Liu, Jiahua Dong, Kangru Wang:
I3DOD: Towards Incremental 3D Object Detection via Prompting. CoRR abs/2308.12512 (2023) - [i17]Gan Sun, Wenqi Liang, Jiahua Dong, Jun Li, Zhengming Ding, Yang Cong:
Create Your World: Lifelong Text-to-Image Diffusion. CoRR abs/2309.04430 (2023) - [i16]Duzhen Zhang, Wei Cong, Jiahua Dong, Yahan Yu, Xiuyi Chen, Yonggang Zhang, Zhen Fang:
Continual Named Entity Recognition without Catastrophic Forgetting. CoRR abs/2310.14541 (2023) - [i15]Lixu Wang, Chenxi Liu, Junfeng Guo, Jiahua Dong, Xiao Wang, Heng Huang, Qi Zhu:
Federated Continual Novel Class Learning. CoRR abs/2312.13500 (2023) - 2022
- [j11]Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Lingjuan Lyu, Ji Liu:
Data Poisoning Attacks on Federated Machine Learning. IEEE Internet Things J. 9(13): 11365-11375 (2022) - [j10]Gan Sun, Yang Cong, Jiahua Dong, Yuyang Liu, Zhengming Ding, Haibin Yu:
What and How: Generalized Lifelong Spectral Clustering via Dual Memory. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3895-3908 (2022) - [j9]Jiahua Dong, Yang Cong, Gan Sun, Tao Zhang:
Lifelong robotic visual-tactile perception learning. Pattern Recognit. 121: 108176 (2022) - [j8]Dongdong Hou, Yang Cong, Gan Sun, Jiahua Dong, Jun Li, Kai Li:
Fast Multi-View Outlier Detection via Deep Encoder. IEEE Trans. Big Data 8(4): 1047-1058 (2022) - [j7]Jiahua Dong, Yang Cong, Gan Sun, Tao Zhang, Xu Tang, Xiaowei Xu:
Evolving Metric Learning for Incremental and Decremental Features. IEEE Trans. Circuits Syst. Video Technol. 32(4): 2290-2302 (2022) - [j6]Qiang Wang, Gan Sun, Jiahua Dong, Qianqian Wang, Zhengming Ding:
Continuous Multi-View Human Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3603-3614 (2022) - [j5]Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong:
Visual-Tactile Fused Graph Learning for Object Clustering. IEEE Trans. Cybern. 52(11): 12275-12289 (2022) - [j4]Qiang Wang, Gan Sun, Jiahua Dong, Yulun Zhang:
PFDN: Pyramid Feature Decoupling Network for Single Image Deraining. IEEE Trans. Image Process. 31: 7091-7101 (2022) - [j3]Tao Zhang, Yang Cong, Jiahua Dong, Dongdong Hou:
Partial Visual-Tactile Fused Learning for Robotic Object Recognition. IEEE Trans. Syst. Man Cybern. Syst. 52(7): 4349-4361 (2022) - [c9]Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, Qi Zhu:
Federated Class-Incremental Learning. CVPR 2022: 10154-10163 - [c8]Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu:
Is Out-of-Distribution Detection Learnable? NeurIPS 2022 - [i14]Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, Qi Zhu:
Federated Class-Incremental Learning. CoRR abs/2203.11473 (2022) - [i13]Jie Zhang, Chen Chen, Jiahua Dong, Ruoxi Jia, Lingjuan Lyu:
QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models. CoRR abs/2205.11158 (2022) - [i12]Yunge Cui, Yinlong Zhang, Jiahua Dong, Haibo Sun, Feng Zhu:
LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud. CoRR abs/2206.05927 (2022) - [i11]Yunge Cui, Yinlong Zhang, Xieyuanli Chen, Jiahua Dong, Qingxiao Wu, Feng Zhu:
BoW3D: Bag of Words for Real-time Loop Closing in 3D LiDAR SLAM. CoRR abs/2208.07473 (2022) - [i10]Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu:
Is Out-of-Distribution Detection Learnable? CoRR abs/2210.14707 (2022) - 2021
- [j2]Jiahua Dong, Yang Cong, Gan Sun, Yunsheng Yang, Xiaowei Xu, Zhengming Ding:
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation. IEEE Trans. Circuits Syst. Video Technol. 31(5): 2020-2033 (2021) - [j1]Yuyang Liu, Yang Cong, Gan Sun, Tao Zhang, Jiahua Dong, Hongsen Liu:
L3DOC: Lifelong 3D Object Classification. IEEE Trans. Image Process. 30: 7486-7498 (2021) - [c7]Jiahua Dong, Yang Cong, Gan Sun, Bingtao Ma, Lichen Wang:
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting. AAAI 2021: 6066-6074 - [c6]Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding:
Generative Partial Visual-Tactile Fused Object Clustering. AAAI 2021: 6156-6164 - [c5]Ronghan Chen, Yang Cong, Jiahua Dong:
Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence. ICCV 2021: 8341-8350 - [c4]Jiahua Dong, Zhen Fang, Anjin Liu, Gan Sun, Tongliang Liu:
Confident Anchor-Induced Multi-Source Free Domain Adaptation. NeurIPS 2021: 2848-2860 - [i9]Ronghan Chen, Yang Cong, Jiahua Dong:
Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence. CoRR abs/2108.11609 (2021) - 2020
- [c3]Jiahua Dong, Yang Cong, Gan Sun, Bineng Zhong, Xiaowei Xu:
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation. CVPR 2020: 4022-4031 - [c2]Jiahua Dong, Yang Cong, Gan Sun, Yuyang Liu, Xiaowei Xu:
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation. ECCV (8) 2020: 745-762 - [i8]Gan Sun, Yang Cong, Jiahua Dong, Qiang Wang, Ji Liu:
Data Poisoning Attacks on Federated Machine Learning. CoRR abs/2004.10020 (2020) - [i7]Jiahua Dong, Yang Cong, Gan Sun, Bineng Zhong, Xiaowei Xu:
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation. CoRR abs/2004.11500 (2020) - [i6]Jiahua Dong, Yang Cong, Gan Sun, Tao Zhang, Xiaowei Xu:
Evolving Metric Learning for Incremental and Decremental Features. CoRR abs/2006.15334 (2020) - [i5]Jiahua Dong, Yang Cong, Gan Sun, Yuyang Liu, Xiaowei Xu:
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation. CoRR abs/2008.10464 (2020) - [i4]Jiahua Dong, Yang Cong, Gan Sun, Yunsheng Yang, Xiaowei Xu, Zhengming Ding:
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation. CoRR abs/2012.04170 (2020) - [i3]Jiahua Dong, Yang Cong, Gan Sun, Bingtao Ma, Lichen Wang:
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting. CoRR abs/2012.09014 (2020) - [i2]Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding:
Generative Partial Visual-Tactile Fused Object Clustering. CoRR abs/2012.14070 (2020)
2010 – 2019
- 2019
- [c1]Jiahua Dong, Yang Cong, Gan Sun, Dongdong Hou:
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation. ICCV 2019: 10711-10720 - [i1]Jiahua Dong, Yang Cong, Gan Sun, Dongdong Hou:
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation. CoRR abs/1908.07669 (2019)
Coauthor Index
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