Tianjun Xiao

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 23

Top Topics

Diffusion Model

Image Classification

Convolutional Neural Network

Multiple Object Tracking

Top Venues

Publications

Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, Mike Zheng Shou
Hallucination of Multimodal Large Language Models: A Survey. CoRR (2024)
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 (2024)
Jiaxin Cheng, Tianjun Xiao, Tong He
Consistent Video-to-Video Transfer Using Synthetic Dataset. ICLR (2024)
Jiaxin Cheng, Xiao Liang, Xingjian Shi, Tong He, Tianjun Xiao, Mu Li
LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation. CoRR (2023)
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)
Jiaxin Cheng, Tianjun Xiao, Tong He
Consistent Video-to-Video Transfer Using Synthetic Dataset. CoRR (2023)
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)
Pinxue Guo, Tony Huang, Peiyang He, Xuefeng Liu, Tianjun Xiao, Zhaoyu Chen, Wenqiang Zhang
OpenVIS: Open-vocabulary Video Instance Segmentation. CoRR (2023)
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 (2023)
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 (2023)
Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu
Coarse-to-Fine Amodal Segmentation with Shape Prior. CoRR (2023)
Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu
Coarse-to-Fine Amodal Segmentation with Shape Prior. ICCV (2023)
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)
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)
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 (2023)
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 (2023)
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)
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 (2022)
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)
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 (2022)
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 (2021)
Longyuan Li, Jian Yao, Li Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David Wipf, Zheng Zhang
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction. NeurIPS (2021)
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)
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)
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 (2015)
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)
Yichong Xu, Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Zheng Zhang
Scale-Invariant Convolutional Neural Networks. CoRR (2014)
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 (2014)
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)
Yuxin Peng, Yunbo Peng, Xiaohua Zhai, Jian Zhang, Tianjun Xiao, Xin Huang, Kang Cai
PKU-ICST @TRECVID2012: Known-item Search Task. TRECVID (2012)