Tong He

According to our database, Tong He authored at least 36 papers between 2019 and 2024.

Collaborative distances:

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

2024

Improving Semantic Segmentation via Efficient Self-Training.

Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization.

Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf

CoRR, 2024

Graph Machine Learning through the Lens of Bilevel Optimization.

Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Consistent Video-to-Video Transfer Using Synthetic Dataset.

Jiaxin Cheng, Tianjun Xiao, Tong He

CoRR, 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

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

Learning Manifold Dimensions with Conditional Variational Autoencoders.

Yijia Zheng, Tong He, Yixuan Qiu, David P. Wipf

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

ResNeSt: Split-Attention Networks.

Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Deep 3D Embodied Visual Recognition.

Tong He

PhD thesis, 2021

Skeleton-Based Action Recognition With Focusing-Diffusion Graph Convolutional Networks.

Jialin Gao, Tong He, Xi Zhou, Shiming Ge

IEEE Signal Process. Lett., 2021

Progressive Coordinate Transforms for Monocular 3D Object Detection.

Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue

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

ARCH++: Animation-Ready Clothed Human Reconstruction Revisited.

Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung

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

2020

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.

Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu

J. Mach. Learn. Res., 2020

Improving Semantic Segmentation via Self-Training.

Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola

CoRR, 2020

Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction.

Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning.

Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto

Proceedings of the 4th Conference on Robot Learning, 2020

DeepVoxels++: Enhancing the Fidelity of Novel View Synthesis from 3D Voxel Embeddings.

Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition.

Jialin Gao, Tong He, Xi Zhou, Shiming Ge

CoRR, 2019

LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning.

Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto

CoRR, 2019

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.

Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng

CoRR, 2019

Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources.

Haibin Lin, Hang Zhang, Yifei Ma, Tong He, Zhi Zhang, Sheng Zha, Mu Li

CoRR, 2019

Bag of Freebies for Training Object Detection Neural Networks.

Zhi Zhang, Tong He, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li

CoRR, 2019

GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images.

Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang, Minh Hoai

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Bag of Tricks for Image Classification with Convolutional Neural Networks.

Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

GeoNet: Deep Geodesic Networks for Point Cloud Analysis.

Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors.

Tong He, Stefano Soatto

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019