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2020 – today
- 2024
[c16]Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing:
Learning for Transductive Threshold Calibration in Open-World Recognition. CVPR 2024: 17097-17106- [c15]Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang:
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number. CVPR 2024: 23062-23071 - [c14]Jiaxin Cheng, Tianjun Xiao, Tong He:
Consistent Video-to-Video Transfer Using Synthetic Dataset. ICLR 2024 - [i18]Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, Mike Zheng Shou:
Hallucination of Multimodal Large Language Models: A Survey. CoRR abs/2404.18930 (2024) - [i17]Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang:
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number. CoRR abs/2406.09196 (2024) - [i16]Zechen Bai, Tianjun Xiao, Tong He, Pichao Wang, Zheng Zhang, Thomas Brox, Mike Zheng Shou:
GQE: Generalized Query Expansion for Enhanced Text-Video Retrieval. CoRR abs/2408.07249 (2024) - [i15]Jiaxin Cheng, Zixu Zhao, Tong He, Tianjun Xiao, Yicong Zhou, Zheng Zhang:
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation. CoRR abs/2409.04847 (2024) - 2023
- [c13]Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu:
Coarse-to-Fine Amodal Segmentation with Shape Prior. ICCV 2023: 1262-1271 - [c12]Ke Fan, Jingshi Lei, Xuelin Qian, Miaopeng Yu, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu:
Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation. ICCV 2023: 1272-1281 - [c11]Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He:
Unsupervised Open-Vocabulary Object Localization in Videos. ICCV 2023: 13701-13709 - [c10]Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao:
Object-Centric Multiple Object Tracking. ICCV 2023: 16555-16565 - [c9]Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello:
Bridging the Gap to Real-World Object-Centric Learning. ICLR 2023 - [i14]Jiaxin Cheng, Xiao Liang, Xingjian Shi, Tong He, Tianjun Xiao, Mu Li:
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation. CoRR abs/2302.08908 (2023) - [i13]Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing:
Learning for Open-World Calibration with Graph Neural Networks. CoRR abs/2305.12039 (2023) - [i12]Pinxue Guo, Tony Huang, Peiyang He, Xuefeng Liu, Tianjun Xiao, Zhaoyu Chen, Wenqiang Zhang:
OpenVIS: Open-vocabulary Video Instance Segmentation. CoRR abs/2305.16835 (2023) - [i11]Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu
:
Coarse-to-Fine Amodal Segmentation with Shape Prior. CoRR abs/2308.16825 (2023) - [i10]Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao:
Object-Centric Multiple Object Tracking. CoRR abs/2309.00233 (2023) - [i9]Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He:
Unsupervised Open-Vocabulary Object Localization in Videos. CoRR abs/2309.09858 (2023) - [i8]Ke Fan, Jingshi Lei, Xuelin Qian, Miaopeng Yu, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu:
Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation. CoRR abs/2309.13248 (2023) - [i7]Jiaxin Cheng, Tianjun Xiao, Tong He:
Consistent Video-to-Video Transfer Using Synthetic Dataset. CoRR abs/2311.00213 (2023) - 2022
- [c8]Tianyue Cao, Yongxin Wang, Yifan Xing, Tianjun Xiao, Tong He, Zheng Zhang, Hao Zhou, Joseph Tighe:
PSS: Progressive Sample Selection for Open-World Visual Representation Learning. ECCV (31) 2022: 278-294 - [c7]Jian Yao, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David P. Wipf, Yanwei Fu, Zheng Zhang:
Self-supervised Amodal Video Object Segmentation. NeurIPS 2022 - [i6]Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello:
Bridging the Gap to Real-World Object-Centric Learning. CoRR abs/2209.14860 (2022) - [i5]Jian Yao, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David Wipf, Yanwei Fu, Zheng Zhang:
Self-supervised Amodal Video Object Segmentation. CoRR abs/2210.12733 (2022) - 2021
- [c6]Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto:
Learning Hierarchical Graph Neural Networks for Image Clustering. ICCV 2021: 3447-3457 - [c5]Longyuan Li, Jian Yao, Li K. Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David Wipf, Zheng Zhang:
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction. NeurIPS 2021: 27107-27118 - [i4]Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto:
Learning Hierarchical Graph Neural Networks for Image Clustering. CoRR abs/2107.01319 (2021)
2010 – 2019
- 2015
- [c4]Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang:
The application of two-level attention models in deep convolutional neural network for fine-grained image classification. CVPR 2015: 842-850 - [i3]Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, Zheng Zhang:
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems. CoRR abs/1512.01274 (2015) - 2014
- [c3]Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Yuxin Peng, Zheng Zhang:
Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification. ACM Multimedia 2014: 177-186 - [c2]Yalong Bai, Wei Yu, Tianjun Xiao, Chang Xu, Kuiyuan Yang, Wei-Ying Ma, Tiejun Zhao:
Bag-of-Words Based Deep Neural Network for Image Retrieval. ACM Multimedia 2014: 229-232 - [i2]Yichong Xu, Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Zheng Zhang:
Scale-Invariant Convolutional Neural Networks. CoRR abs/1411.6369 (2014) - [i1]Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang:
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification. CoRR abs/1411.6447 (2014) - 2012
- [c1]Yuxin Peng, Yunbo Peng, Xiaohua Zhai, Jian Zhang, Tianjun Xiao, Xin Huang, Kang Cai:
PKU-ICST @TRECVID2012: Known-item Search Task. TRECVID 2012
Coauthor Index
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last updated on 2024-10-10 22:18 CEST by the dblp team
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