default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTong He 0002
Person information
- affiliation: Amazon Web Services
- affiliation: Facebook Reality Labs Research, USA
- affiliation: University of California Los Angeles, CA, USA
Other persons with the same name
- Tong He — disambiguation page
- Tong He 0001
![[0000-0003-2772-9320]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2772-9320")
— Shanghai AI Lab, Shanghai (and 1 more) - Tong He 0003 — Zhejiang University, Zhejiang Laboratory, Research Center for Intelligent Networks, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j3]Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola:
Improving Semantic Segmentation via Efficient Self-Training. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1589-1602 (2024)- [c24]Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf:
Graph Machine Learning through the Lens of Bilevel Optimization. AISTATS 2024: 982-990 - [c23]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 - [c22]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 - [c21]Jiaxin Cheng, Tianjun Xiao, Tong He:
Consistent Video-to-Video Transfer Using Synthetic Dataset. ICLR 2024 - [i32]Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf:
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization. CoRR abs/2403.04763 (2024) - [i31]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) - [i30]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) - [i29]Xiangkun Hu, Tong He, David Wipf:
New Desiderata for Direct Preference Optimization. CoRR abs/2407.09072 (2024) - [i28]Yifan Li, Yikai Wang, Yanwei Fu, Dongyu Ru, Zheng Zhang, Tong He:
Unified Lexical Representation for Interpretable Visual-Language Alignment. CoRR abs/2407.17827 (2024) - [i27]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) - [i26]Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang:
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation. CoRR abs/2408.08067 (2024) - 2023
- [c20]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 - [c19]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 - [c18]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 - [c17]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 - [c16]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 - [i25]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) - [i24]Yijia Zheng, Tong He, Yixuan Qiu, David Wipf:
Learning Manifold Dimensions with Conditional Variational Autoencoders. CoRR abs/2302.11756 (2023) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]Jiaxin Cheng, Tianjun Xiao, Tong He:
Consistent Video-to-Video Transfer Using Synthetic Dataset. CoRR abs/2311.00213 (2023) - 2022
- [c15]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:
ResNeSt: Split-Attention Networks. CVPR Workshops 2022: 2735-2745 - [c14]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 - [c13]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 - [c12]Yijia Zheng, Tong He, Yixuan Qiu, David P. Wipf:
Learning Manifold Dimensions with Conditional Variational Autoencoders. NeurIPS 2022 - [i17]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) - [i16]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
- [b1]Tong He:
Deep 3D Embodied Visual Recognition. University of California, Los Angeles, USA, 2021 - [j2]Jialin Gao, Tong He, Xi Zhou, Shiming Ge:
Skeleton-Based Action Recognition With Focusing-Diffusion Graph Convolutional Networks. IEEE Signal Process. Lett. 28: 2058-2062 (2021) - [c11]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 - [c10]Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung:
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited. ICCV 2021: 11026-11036 - [c9]Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue:
Progressive Coordinate Transforms for Monocular 3D Object Detection. NeurIPS 2021: 13364-13377 - [c8]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 - [i15]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) - [i14]Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue:
Progressive Coordinate Transforms for Monocular 3D Object Detection. CoRR abs/2108.05793 (2021) - [i13]Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung:
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited. CoRR abs/2108.07845 (2021) - 2020
- [j1]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:
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. J. Mach. Learn. Res. 21: 23:1-23:7 (2020) - [c7]Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto:
DeepVoxels++: Enhancing the Fidelity of Novel View Synthesis from 3D Voxel Embeddings. ACCV (1) 2020: 244-260 - [c6]Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto:
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning. CoRL 2020: 156-175 - [c5]Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto:
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction. NeurIPS 2020 - [i12]Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola:
ResNeSt: Split-Attention Networks. CoRR abs/2004.08955 (2020) - [i11]Yi Zhu, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, Alexander J. Smola:
Improving Semantic Segmentation via Self-Training. CoRR abs/2004.14960 (2020) - [i10]Tong He, John P. Collomosse, Hailin Jin, Stefano Soatto:
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction. CoRR abs/2006.08072 (2020)
2010 – 2019
- 2019
- [c4]Tong He, Stefano Soatto:
Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors. AAAI 2019: 8409-8416 - [c3]Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li:
Bag of Tricks for Image Classification with Convolutional Neural Networks. CVPR 2019: 558-567 - [c2]Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang, Minh Hoai:
GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images. CVPR 2019: 1419-1428 - [c1]Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto:
GeoNet: Deep Geodesic Networks for Point Cloud Analysis. CVPR 2019: 6888-6897 - [i9]Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto:
GeoNet: Deep Geodesic Networks for Point Cloud Analysis. CoRR abs/1901.00680 (2019) - [i8]Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang, Minh Hoai:
GIF2Video: Color Dequantization and Temporal Interpolation of GIF images. CoRR abs/1901.02840 (2019) - [i7]Tong He, Stefano Soatto:
Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors. CoRR abs/1901.03446 (2019) - [i6]Zhi Zhang, Tong He, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li:
Bag of Freebies for Training Object Detection Neural Networks. CoRR abs/1902.04103 (2019) - [i5]Haibin Lin, Hang Zhang, Yifei Ma, Tong He, Zhi Zhang, Sheng Zha, Mu Li:
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources. CoRR abs/1904.12043 (2019) - [i4]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:
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. CoRR abs/1907.04433 (2019) - [i3]Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto:
LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning. CoRR abs/1912.02973 (2019) - [i2]Jialin Gao, Tong He, Xi Zhou, Shiming Ge:
Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition. CoRR abs/1912.11521 (2019) - 2018
- [i1]Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li:
Bag of Tricks for Image Classification with Convolutional Neural Networks. CoRR abs/1812.01187 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
