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ORCIDTianzhu Zhang
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2020 – today
- 2024
[j95]Xun Yang
, Tianyu Chang, Tianzhu Zhang, Shanshan Wang, Richang Hong, Meng Wang:
Learning Hierarchical Visual Transformation for Domain Generalizable Visual Matching and Recognition. Int. J. Comput. Vis. 132(11): 4823-4849 (2024)- [j94]Jiamin Wu, Tianzhu Zhang, Yongdong Zhang:
HybridPrompt: Domain-Aware Prompting for Cross-Domain Few-Shot Learning. Int. J. Comput. Vis. 132(12): 5681-5697 (2024) - [j93]Nanqing Xu, Weiwei Feng, Tianzhu Zhang, Yongdong Zhang:
FD-GAN: Generalizable and Robust Forgery Detection via Generative Adversarial Networks. Int. J. Comput. Vis. 132(12): 5801-5819 (2024) - [j92]Ruijie Zhu, Ziyang Song, Li Liu, Jianfeng He, Tianzhu Zhang, Yongdong Zhang:
HA-Bins: Hierarchical Adaptive Bins for Robust Monocular Depth Estimation Across Multiple Datasets. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4354-4366 (2024) - [j91]Guoxin Xiong, Meng Meng, Tianzhu Zhang, Dongming Zhang, Yongdong Zhang:
Reference-Aware Adaptive Network for Image-Text Matching. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9678-9691 (2024) - [j90]Weiwei Feng, Nanqing Xu, Tianzhu Zhang, Baoyuan Wu, Yongdong Zhang:
Robust and Generalized Physical Adversarial Attacks via Meta-GAN. IEEE Trans. Inf. Forensics Secur. 19: 1112-1125 (2024) - [j89]Nanqing Xu, Weiwei Feng, Tianzhu Zhang, Yongdong Zhang:
A Unified Optimization Framework for Feature-Based Transferable Attacks. IEEE Trans. Inf. Forensics Secur. 19: 4794-4808 (2024) - [j88]Jianfeng He, Tianzhu Zhang, Zhe Zhang, Tianyi Yu, Yongdong Zhang:
Efficient Dynamic Correspondence Network. IEEE Trans. Image Process. 33: 228-240 (2024) - [j87]Jiahao Chang, Jianfeng He, Tianzhu Zhang, Jiyang Yu, Feng Wu:
EI-MVSNet: Epipolar-Guided Multi-View Stereo Network With Interval-Aware Label. IEEE Trans. Image Process. 33: 753-766 (2024) - [j86]Zhangxiang Shi, Tianzhu Zhang, Xi Wei, Feng Wu, Yongdong Zhang:
Decoupled Cross-Modal Phrase-Attention Network for Image-Sentence Matching. IEEE Trans. Image Process. 33: 1326-1337 (2024) - [j85]Jiamin Wu, Tianzhu Zhang, Zheng-Jun Zha, Jiebo Luo, Yongdong Zhang, Feng Wu:
Prototype-Augmented Self-Supervised Generative Network for Generalized Zero-Shot Learning. IEEE Trans. Image Process. 33: 1938-1951 (2024) - [j84]Huanlong Zhang, Jingchao Wang, Jianwei Zhang, Tianzhu Zhang, Bineng Zhong:
One-Stream Vision-Language Memory Network for Object Tracking. IEEE Trans. Multim. 26: 1720-1730 (2024) - [j83]Hongtao Yu, Pengfei Zhu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, Qinghua Hu:
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5656-5670 (2024) - [j82]Wen Guo, Wuzhou Quan, Junyu Gao, Tianzhu Zhang, Changsheng Xu:
Feature Disentanglement Network: Multi-Object Tracking Needs More Differentiated Features. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 83:1-83:22 (2024) - [c127]Naisong Luo, Rui Sun, Yuwen Pan, Tianzhu Zhang, Feng Wu:
Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation. AAAI 2024: 3981-3989 - [c126]Yinchao Ma, Yuyang Tang, Wenfei Yang, Tianzhu Zhang, Jinpeng Zhang, Mengxue Kang:
Unifying Visual and Vision-Language Tracking via Contrastive Learning. AAAI 2024: 4107-4116 - [c125]Huayu Mai, Rui Sun, Yuan Wang, Tianzhu Zhang, Feng Wu:
Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation. AAAI 2024: 4162-4170 - [c124]Jiamin Wu, Xin Liu, Xiaotian Yin, Tianzhu Zhang, Yongdong Zhang:
Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning. AAAI 2024: 6012-6020 - [c123]Yuan Gao, Yuqing Zhu, Xinjun Li, Yimin Du, Tianzhu Zhang:
SD2Event: Self-Supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras. CVPR 2024: 3055-3064 - [c122]Huayu Mai, Rui Sun, Tianzhu Zhang, Feng Wu:
RankMatch: Exploring the Better Consistency Regularization for Semi-Supervised Semantic Segmentation. CVPR 2024: 3391-3401 - [c121]Yuan Wang, Rui Sun, Naisong Luo, Yuwen Pan, Tianzhu Zhang:
Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation. CVPR 2024: 3952-3963 - [c120]Jiacheng Deng, Jiahao Lu, Tianzhu Zhang:
Unsupervised Template-assisted Point Cloud Shape Correspondence Network. CVPR 2024: 5250-5259 - [c119]Jiahao Lu, Jiacheng Deng, Tianzhu Zhang:
BSNet: Box-Supervised Simulation-Assisted Mean Teacher for 3D Instance Segmentation. CVPR 2024: 20374-20384 - [c118]Xiao Lin, Wenfei Yang, Yuan Gao, Tianzhu Zhang:
Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation. CVPR 2024: 21040-21049 - [c117]Zhaoyang Li, Yuan Wang, Wangkai Li, Rui Sun, Tianzhu Zhang:
Localization and Expansion: A Decoupled Framework for Point Cloud Few-Shot Semantic Segmentation. ECCV (73) 2024: 18-34 - [c116]Jilong Wang, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang, Tianzhu Zhang, Liang Wang:
Free Lunch for Gait Recognition: A Novel Relation Descriptor. ECCV (38) 2024: 39-56 - [c115]Jiacheng Deng, Jiahao Lu, Tianzhu Zhang:
Diff3DETR: Agent-Based Diffusion Model for Semi-supervised 3D Object Detection. ECCV (34) 2024: 57-73 - [c114]Yuwen Pan, Rui Sun, Naisong Luo, Tianzhu Zhang, Yongdong Zhang:
Exploring Reliable Matching with Phase Enhancement for Night-Time Semantic Segmentation. ECCV (53) 2024: 408-424 - [c113]Huiqiang Zhang, Tianzhu Zhang, Jie Deng, Wei Wang, Shengqi Liu, Jun Zhang:
MHRA-Net: Azimuth-Aware Multi-Head Residual Self-Attention Network for SAR Vehicle Recognition. IGARSS 2024: 9130-9133 - [c112]Yue Guo, Tianzhu Zhang, Shiqi Chen, Ronghui Zhan, Luzhuo Li, Jun Zhang:
YO-DETR: A Lightweight End-to-End SAR Ship Detector Using Decoder Head without NMS. IGARSS 2024: 9408-9411 - [c111]Guoxin Xiong, Yuan Wang, Zhaoyang Li, Wenfei Yang, Tianzhu Zhang, Xu Zhou, Shifeng Zhang, Yongdong Zhang:
Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation. IJCAI 2024: 1480-1488 - [c110]Qiong Liu, Tianzhu Zhang, Leonardo Linguaglossa:
Non-invasive performance prediction of high-speed softwarized network services with limited knowledge. INFOCOM 2024: 2328-2337 - [c109]Yuwen Pan, Rui Sun, Yuan Wang, Tianzhu Zhang, Yongdong Zhang:
Rethinking the Implicit Optimization Paradigm with Dual Alignments for Referring Remote Sensing Image Segmentation. ACM Multimedia 2024: 2031-2040 - [c108]Qiong Liu, Tianzhu Zhang, Walter Cerroni, Leonardo Linguaglossa:
Proactive VNF Redeployment and Traffic Routing for modern telco networks. NetSoft 2024: 91-99 - [i48]Yulin Li, Tianzhu Zhang, Yongdong Zhang:
Frequency Domain Modality-invariant Feature Learning for Visible-infrared Person Re-Identification. CoRR abs/2401.01839 (2024) - [i47]Yinchao Ma, Yuyang Tang, Wenfei Yang, Tianzhu Zhang, Jinpeng Zhang, Mengxue Kang:
Unifying Visual and Vision-Language Tracking via Contrastive Learning. CoRR abs/2401.11228 (2024) - [i46]Xiaoheng Jiang, Feng Yan, Yang Lu, Ke Wang, Shuai Guo, Tianzhu Zhang, Yanwei Pang, Jianwei Niu, Mingliang Xu:
Joint Attention-Guided Feature Fusion Network for Saliency Detection of Surface Defects. CoRR abs/2402.02797 (2024) - [i45]Xin Liu, Jiamin Wu, Tianzhu Zhang:
Multi-modal Attribute Prompting for Vision-Language Models. CoRR abs/2403.00219 (2024) - [i44]Yu Zhu, Chuxiong Sun, Wenfei Yang, Wenqiang Wei, Bo Tang, Tianzhu Zhang, Zhiyu Li, Shifeng Zhang, Feiyu Xiong, Jie Hu, Mingchuan Yang:
Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy. CoRR abs/2403.04283 (2024) - [i43]Jiahao Lu, Jiacheng Deng, Tianzhu Zhang:
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation. CoRR abs/2403.15019 (2024) - [i42]Jiacheng Deng, Jiahao Lu, Tianzhu Zhang:
Unsupervised Template-assisted Point Cloud Shape Correspondence Network. CoRR abs/2403.16412 (2024) - [i41]Xiao Lin, Wenfei Yang, Yuan Gao, Tianzhu Zhang:
Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation. CoRR abs/2403.19527 (2024) - [i40]Yuan Wang, Rui Sun, Naisong Luo, Yuwen Pan, Tianzhu Zhang:
Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation. CoRR abs/2404.00262 (2024) - [i39]Zhuoyuan Li, Yubo Ai, Jiahao Lu, Chuxin Wang, Jiacheng Deng, Hanzhi Chang, Yanzhe Liang, Wenfei Yang, Shifeng Zhang, Tianzhu Zhang:
Mamba24/8D: Enhancing Global Interaction in Point Clouds via State Space Model. CoRR abs/2406.17442 (2024) - [i38]Ruijie Zhu, Chuxin Wang, Ziyang Song, Li Liu, Tianzhu Zhang, Yongdong Zhang:
ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation. CoRR abs/2407.08187 (2024) - [i37]Jiacheng Deng, Jiahao Lu, Tianzhu Zhang:
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object Detection. CoRR abs/2408.00286 (2024) - [i36]Zhaoyang Li, Yuan Wang, Wangkai Li, Rui Sun, Tianzhu Zhang:
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation. CoRR abs/2408.13752 (2024) - [i35]Yuwen Pan, Rui Sun, Naisong Luo, Tianzhu Zhang, Yongdong Zhang:
Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation. CoRR abs/2408.13838 (2024) - [i34]Li Liu, Ruijie Zhu, Jiacheng Deng, Ziyang Song, Wenfei Yang, Tianzhu Zhang:
Plane2Depth: Hierarchical Adaptive Plane Guidance for Monocular Depth Estimation. CoRR abs/2409.02494 (2024) - [i33]Wenjie Chang, Hao Ai, Tianzhu Zhang, Lin Wang:
CUBE360: Learning Cubic Field Representation for Monocular 360 Depth Estimation for Virtual Reality. CoRR abs/2410.05735 (2024) - [i32]Ruijie Zhu, Yanzhe Liang, Hanzhi Chang, Jiacheng Deng, Jiahao Lu, Wenfei Yang, Tianzhu Zhang, Yongdong Zhang:
MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting. CoRR abs/2410.07707 (2024) - [i31]Jiahao Lu, Jiacheng Deng, Ruijie Zhu, Yanzhe Liang, Wenfei Yang, Tianzhu Zhang, Xu Zhou:
DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering. CoRR abs/2410.13607 (2024) - [i30]Bohao Liao, Wei Zhai, Zengyu Wan, Tianzhu Zhang, Yang Cao, Zheng-Jun Zha:
EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splatting. CoRR abs/2410.15392 (2024) - 2023
- [j81]Han Qiu, Tianwei Zhang, Tianzhu Zhang, Hongyu Li, Meikang Qiu:
DefQ: Defensive Quantization Against Inference Slow-Down Attack for Edge Computing. IEEE Internet Things J. 10(4): 3243-3251 (2023) - [j80]Yi Peng, Yi Zhao, Ningxiong Mao, Junxiang Wang, Yixiang Fang, Tianzhu Zhang, Fengyun Shi:
Color image reversible data hiding based on multi-channel synchronized histogram. J. King Saud Univ. Comput. Inf. Sci. 35(10): 101804 (2023) - [j79]Wenfei Yang, Tianzhu Zhang, Yongdong Zhang, Feng Wu:
Uncertainty Guided Collaborative Training for Weakly Supervised and Unsupervised Temporal Action Localization. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5252-5267 (2023) - [j78]Meng Meng, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang, Feng Wu:
Task-Aware Weakly Supervised Object Localization With Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9109-9121 (2023) - [j77]Yinchao Ma, Jianfeng He, Dawei Yang, Tianzhu Zhang, Feng Wu:
Adaptive Part Mining for Robust Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11443-11457 (2023) - [j76]Yuan Gao, Jianfeng He, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang:
Dynamic Keypoint Detection Network for Image Matching. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14404-14419 (2023) - [j75]Chuxin Wang, Jiacheng Deng, Jianfeng He, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang:
Long-Short Range Adaptive Transformer With Dynamic Sampling for 3D Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7616-7629 (2023) - [j74]Jianfeng He, Jiacheng Deng, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang:
Hierarchical Shape-Consistent Transformer for Unsupervised Point Cloud Shape Correspondence. IEEE Trans. Image Process. 32: 2734-2748 (2023) - [j73]Tianzhu Zhang, Han Qiu, Gabriele Castellano, Myriana Rifai, Chung Shue Chen, Fabio Pianese:
System Log Parsing: A Survey. IEEE Trans. Knowl. Data Eng. 35(8): 8596-8614 (2023) - [c107]Huan Ren, Han Jiang, Wang Luo, Meng Meng, Tianzhu Zhang:
Entropy-guided Open-set Fine-grained Fungi Recognition. CLEF (Working Notes) 2023: 2122-2136 - [c106]Huan Ren, Wenfei Yang, Tianzhu Zhang, Yongdong Zhang:
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization. CVPR 2023: 2394-2404 - [c105]Jianfeng He, Yuan Gao, Tianzhu Zhang, Zhe Zhang, Feng Wu:
D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers. CVPR 2023: 2904-2914 - [c104]Qianjin Yu, Yinchao Ma, Jianfeng He, Dawei Yang, Tianzhu Zhang:
A Unified Transformer-based Tracker for Anti-UAV Tracking. CVPR Workshops 2023: 3036-3046 - [c103]Jiacheng Deng, Chuxin Wang, Jiahao Lu, Jianfeng He, Tianzhu Zhang, Jiyang Yu, Zhe Zhang:
SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence. CVPR 2023: 5364-5373 - [c102]Jiahao Chang, Jiahuan Yu, Tianzhu Zhang:
Structured Epipolar Matcher for Local Feature Matching. CVPR Workshops 2023: 6177-6186 - [c101]Yuan Wang, Rui Sun, Tianzhu Zhang:
Rethinking the Correlation in Few-Shot Segmentation: A Buoys View. CVPR 2023: 7183-7192 - [c100]Tianyu Chang, Xun Yang, Tianzhu Zhang, Meng Wang:
Domain Generalized Stereo Matching via Hierarchical Visual Transformation. CVPR 2023: 9559-9568 - [c99]Weiwei Feng, Nanqing Xu, Tianzhu Zhang, Yongdong Zhang:
Dynamic Generative Targeted Attacks with Pattern Injection. CVPR 2023: 16404-16414 - [c98]Naisong Luo, Yuwen Pan, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
Camouflaged Instance Segmentation via Explicit De-Camouflaging. CVPR 2023: 17918-17927 - [c97]Huayu Mai, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
DualRel: Semi-Supervised Mitochondria Segmentation from A Prototype Perspective. CVPR 2023: 19617-19626 - [c96]Jiahuan Yu, Jiahao Chang, Jianfeng He, Tianzhu Zhang, Jiyang Yu, Feng Wu:
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching. CVPR 2023: 21898-21908 - [c95]Rui Sun, Yuan Wang, Huayu Mai, Tianzhu Zhang, Feng Wu:
Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation. ICCV 2023: 1218-1228 - [c94]Chuxin Wang, Wenfei Yang, Tianzhu Zhang:
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection. ICCV 2023: 3791-3801 - [c93]Dawei Yang, Jianfeng He, Yinchao Ma, Qianjin Yu, Tianzhu Zhang:
Foreground-Background Distribution Modeling Transformer for Visual Object Tracking. ICCV 2023: 10083-10093 - [c92]Jiahao Lu, Jiacheng Deng, Chuxin Wang, Jianfeng He, Tianzhu Zhang:
Query Refinement Transformer for 3D Instance Segmentation. ICCV 2023: 18470-18480 - [c91]Yuwen Pan, Naisong Luo, Rui Sun, Meng Meng, Tianzhu Zhang, Zhiwei Xiong, Yongdong Zhang:
Adaptive Template Transformer for Mitochondria Segmentation in Electron Microscopy Images. ICCV 2023: 21417-21427 - [c90]Xi Wei, Zhangxiang Shi, Tianzhu Zhang, Xiaoyuan Yu, Lei Xiao:
Multimodal High-order Relation Transformer for Scene Boundary Detection. ICCV 2023: 22024-22033 - [c89]Youngkyoon Jang, Jiali Zheng, Jifei Song, Helisa Dhamo, Eduardo Pérez-Pellitero, Thomas Tanay, Matteo Maggioni, Richard Shaw, Sibi Catley-Chandar, Yiren Zhou, Jiankang Deng, Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang, Khanh-Binh Nguyen, Joon-Sung Yang, Andreea Dogaru, Bernhard Egger, Heng Yu, Aarush Gupta, Joel Julin, László A. Jeni, Hyeseong Kim, Jungbin Cho, Dosik Hwang, Deukhee Lee, Doyeon Kim, Dongseong Seo, SeungJin Jeon, YoungDon Choi, Jun Seok Kang, Ahmet Cagatay Seker, Sang Chul Ahn, Ales Leonardis, Stefanos Zafeiriou:
VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads. ICCV (Workshops) 2023: 1113-1120 - [c88]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 - [c87]Rui Sun, Naisong Luo, Yuwen Pan, Huayu Mai, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
Appearance Prompt Vision Transformer for Connectome Reconstruction. IJCAI 2023: 1423-1431 - [c86]Zhaoyang Li, Wangkai Li, Huayu Mai, Tianzhu Zhang, Zhiwei Xiong:
Enhancing Cell Detection in Histopathology Images: A ViT-Based U-Net Approach. GRAIL/OCELOT@MICCAI 2023: 150-160 - [c85]Rui Sun, Huayu Mai, Naisong Luo, Tianzhu Zhang, Zhiwei Xiong, Feng Wu:
Structure-Decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation. MICCAI (4) 2023: 523-533 - [c84]Rui Sun, Huayu Mai, Tianzhu Zhang, Feng Wu:
DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation. NeurIPS 2023 - [c83]Yuan Wang, Naisong Luo, Tianzhu Zhang:
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation. NeurIPS 2023 - [i29]Tianzhu Zhang, Masoud Hemmatpour, Shashwat Mishra, Leonardo Linguaglossa, Dong Zhang, Chung Shue Chen, Marco Mellia, Armen Aghasaryan:
Operationalizing AI in Future Networks: A Bird's Eye View from the System Perspective. CoRR abs/2303.04073 (2023) - [i28]Jiahuan Yu, Jiahao Chang, Jianfeng He, Tianzhu Zhang, Feng Wu:
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching. CoRR abs/2303.16624 (2023) - [i27]Jiahao Chang, Jiahuan Yu, Tianzhu Zhang:
Structured Epipolar Matcher for Local Feature Matching. CoRR abs/2303.16646 (2023) - [i26]Jiacheng Deng, Chuxin Wang, Jiahao Lu, Jianfeng He, Tianzhu Zhang, Jiyang Yu, Zhe Zhang:
SE-ORNet: Self-Ensembling Orientation-aware Network for Unsupervised Point Cloud Shape Correspondence. CoRR abs/2304.05395 (2023) - [i25]Huan Ren, Wenfei Yang, Tianzhu Zhang, Yongdong Zhang:
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization. CoRR abs/2305.17861 (2023) - [i24]Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu:
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR abs/2307.15061 (2023) - [i23]Ruijie Zhu, Ziyang Song, Chuxin Wang, Jianfeng He, Tianzhu Zhang:
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation under challenging scenes. CoRR abs/2310.08044 (2023) - [i22]Yan Lu, Xinzhu Ma, Lei Yang, Tianzhu Zhang, Yating Liu, Qi Chu, Tong He, Yonghui Li, Wanli Ouyang:
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection. CoRR abs/2310.15624 (2023) - [i21]Yuan Wang, Naisong Luo, Tianzhu Zhang:
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation. CoRR abs/2311.17626 (2023) - [i20]Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang:
TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces. CoRR abs/2312.09527 (2023) - [i19]Chuxin Wang, Wenfei Yang, Tianzhu Zhang:
Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection. CoRR abs/2312.10390 (2023) - 2022
- [j72]Tianzhu Zhang, Han Qiu, Marco Mellia, Yuanjie Li, Hewu Li, Ke Xu:
Interpreting AI for Networking: Where We Are and Where We Are Going. IEEE Commun. Mag. 60(2): 25-31 (2022) - [j71]Yuan Cao, Guangming Shi, Weisheng Dong, Tianzhu Zhang, Jinjian Wu, Xuemei Xie, Xin Li:
Correlation filters based on spatial-temporal Gaussion scale mixture modelling for visual tracking. Neurocomputing 492: 76-90 (2022) - [j70]Xuejing Guo, Yixiang Fang, Junxiang Wang, Wenchao Zeng, Yi Zhao, Tianzhu Zhang, Yun-Qing Shi:
A Domain-independent Dual-image based Robust Reversible Watermarking. KSII Trans. Internet Inf. Syst. 16(12): 4024-4041 (2022) - [j69]Zikun Zhou, Xin Li, Tianzhu Zhang, Hongpeng Wang, Zhenyu He:
Object Tracking via Spatial-Temporal Memory Network. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2976-2989 (2022) - [j68]Yuan Cao, Guangming Shi, Tianzhu Zhang, Weisheng Dong, Jinjian Wu, Xuemei Xie, Xin Li:
Bayesian Correlation Filter Learning With Gaussian Scale Mixture Model for Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3085-3098 (2022) - [j67]Huanlong Zhang, Liyun Cheng, Tianzhu Zhang, Yanfeng Wang, Wen-Jun Zhang, Jie Zhang:
Target-Distractor Aware Deep Tracking With Discriminative Enhancement Learning Loss. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6267-6278 (2022) - [j66]Yehui Yang, Fangxin Shang, Binghong Wu, Dalu Yang, Lei Wang, Yanwu Xu, Wensheng Zhang, Tianzhu Zhang:
Robust Collaborative Learning of Patch-Level and Image-Level Annotations for Diabetic Retinopathy Grading From Fundus Image. IEEE Trans. Cybern. 52(11): 11407-11417 (2022) - [j65]