Tianjun Xiao

According to our database, Tianjun Xiao authored at least 25 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VideoSAM: Open-World Video Segmentation.

Pinxue Guo, Zixu Zhao, Jianxiong Gao, Chongruo Wu, Tong He, Zheng Zhang, Tianjun Xiao, Wenqiang Zhang

CoRR, 2024

Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation.

Jiaxin Cheng, Zixu Zhao, Tong He, Tianjun Xiao, Yicong Zhou, Zheng Zhang

CoRR, 2024

GQE: Generalized Query Expansion for Enhanced Text-Video Retrieval.

Zechen Bai, Tianjun Xiao, Tong He, Pichao Wang, Zheng Zhang, Thomas Brox, Mike Zheng Shou

CoRR, 2024

Hallucination of Multimodal Large Language Models: A Survey.

Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, Mike Zheng Shou

CoRR, 2024

Consistent Video-to-Video Transfer Using Synthetic Dataset.

Jiaxin Cheng, Tianjun Xiao, Tong He

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning for Transductive Threshold Calibration in Open-World Recognition.

Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Adaptive Slot Attention: Object Discovery with Dynamic Slot Number.

Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

OpenVIS: Open-vocabulary Video Instance Segmentation.

Pinxue Guo, Tony Huang, Peiyang He, Xuefeng Liu, Tianjun Xiao, Zhaoyu Chen, Wenqiang Zhang

CoRR, 2023

Learning for Open-World Calibration with Graph Neural Networks.

Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing

CoRR, 2023

LayoutDiffuse: Adapting Foundational Diffusion Models for Layout-to-Image Generation.

Jiaxin Cheng, Xiao Liang, Xingjian Shi, Tong He, Tianjun Xiao, Mu Li

CoRR, 2023

Bridging the Gap to Real-World Object-Centric Learning.

Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Object-Centric Multiple Object Tracking.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Coarse-to-Fine Amodal Segmentation with Shape Prior.

Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation.

Ke Fan, Jingshi Lei, Xuelin Qian, Miaopeng Yu, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unsupervised Open-Vocabulary Object Localization in Videos.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Self-supervised Amodal Video Object Segmentation.

Jian Yao, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David P. Wipf, Yanwei Fu, Zheng Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PSS: Progressive Sample Selection for Open-World Visual Representation Learning.

Tianyue Cao, Yongxin Wang, Yifan Xing, Tianjun Xiao, Tong He, Zheng Zhang, Hao Zhou, Joseph Tighe

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction.

Longyuan Li, Jian Yao, Li K. Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David Wipf, Zheng Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Hierarchical Graph Neural Networks for Image Clustering.

Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2015

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.

Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, Zheng Zhang

CoRR, 2015

The application of two-level attention models in deep convolutional neural network for fine-grained image classification.

Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Scale-Invariant Convolutional Neural Networks.

Yichong Xu, Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Zheng Zhang

CoRR, 2014

Error-Driven Incremental Learning in Deep Convolutional Neural Network for Large-Scale Image Classification.

Tianjun Xiao, Jiaxing Zhang, Kuiyuan Yang, Yuxin Peng, Zheng Zhang

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Bag-of-Words Based Deep Neural Network for Image Retrieval.

Yalong Bai, Wei Yu, Tianjun Xiao, Chang Xu, Kuiyuan Yang, Wei-Ying Ma, Tiejun Zhao

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

2012

PKU-ICST @TRECVID2012: Known-item Search Task.

Yuxin Peng, Yunbo Peng, Xiaohua Zhai, Jian Zhang, Tianjun Xiao, Xin Huang, Kang Cai

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012