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Hao Tan 0002
Person information
- affiliation: Adobe Research
- affiliation (former): University of North Carolina, Chapel Hill, NC, USA
Other persons with the same name
- Hao Tan — disambiguation page
- Hao Tan 0001
— Hunan University, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Changsha, China
- Hao Tan 0003
— Southern University of Science and Technology, University Key Laboratory of Evolving Intelligent Systems of Guangdong Province, Shenzhen, China
- Hao Tan 0004
— Southwest University, Chongqing, China
- Hao Tan 0005
— National Engineering Laboratory for Deep Coal Construction Technology in Coal Mines, Beijing, China
- Hao Tan 0006
— University of Waterloo, Waterloo, ON, Canada
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2020 – today
- 2024
- [c28]Peng Wang, Hao Tan, Sai Bi, Yinghao Xu, Fujun Luan, Kalyan Sunkavalli, Wenping Wang, Zexiang Xu, Kai Zhang:
PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction. ICLR 2024 - [c27]Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. ICLR 2024 - [c26]Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan:
LRM: Large Reconstruction Model for Single Image to 3D. ICLR 2024 - [c25]Jiahao Li, Hao Tan, Kai Zhang, Zexiang Xu, Fujun Luan, Yinghao Xu, Yicong Hong, Kalyan Sunkavalli, Greg Shakhnarovich, Sai Bi:
Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model. ICLR 2024 - [c24]Yinghao Xu, Hao Tan, Fujun Luan, Sai Bi, Peng Wang, Jiahao Li, Zifan Shi, Kalyan Sunkavalli, Gordon Wetzstein, Zexiang Xu, Kai Zhang:
DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model. ICLR 2024 - [i35]Zhenzhen Weng, Jingyuan Liu, Hao Tan, Zhan Xu, Yang Zhou, Serena Yeung-Levy, Jimei Yang:
Single-View 3D Human Digitalization with Large Reconstruction Models. CoRR abs/2401.12175 (2024) - [i34]Xinyue Wei, Kai Zhang, Sai Bi, Hao Tan, Fujun Luan, Valentin Deschaintre, Kalyan Sunkavalli, Hao Su, Zexiang Xu:
MeshLRM: Large Reconstruction Model for High-Quality Mesh. CoRR abs/2404.12385 (2024) - [i33]Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. CoRR abs/2404.12386 (2024) - [i32]Yuan Zang, Tian Yun, Hao Tan, Trung Bui, Chen Sun:
Pre-trained Vision-Language Models Learn Discoverable Visual Concepts. CoRR abs/2404.12652 (2024) - [i31]Kai Zhang, Sai Bi, Hao Tan, Yuanbo Xiangli, Nanxuan Zhao, Kalyan Sunkavalli, Zexiang Xu:
GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting. CoRR abs/2404.19702 (2024) - [i30]Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu, Yi Zhou, Sören Pirk, Arie E. Kaufman, Xin Sun, Hao Tan:
LRM-Zero: Training Large Reconstruction Models with Synthesized Data. CoRR abs/2406.09371 (2024) - [i29]Minh Nguyen, Franck Dernoncourt, Seunghyun Yoon, Hanieh Deilamsalehy, Hao Tan, Ryan A. Rossi, Quan Hung Tran, Trung Bui, Thien Huu Nguyen:
Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models. CoRR abs/2407.12094 (2024) - 2023
- [c23]Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan:
Learning Navigational Visual Representations with Semantic Map Supervision. ICCV 2023: 3032-3044 - [c22]Zun Wang, Jialu Li, Yicong Hong, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao:
Scaling Data Generation in Vision-and-Language Navigation. ICCV 2023: 11975-11986 - [c21]Viet Dac Lai, Abel Salinas, Hao Tan, Trung Bui, Quan Tran, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Thien Huu Nguyen
:
Boosting Punctuation Restoration with Data Generation and Reinforcement Learning. INTERSPEECH 2023: 2133-2137 - [i28]Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan:
Learning Navigational Visual Representations with Semantic Map Supervision. CoRR abs/2307.12335 (2023) - [i27]Viet Dac Lai, Abel Salinas, Hao Tan, Trung Bui, Quan Hung Tran, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Thien Huu Nguyen:
Boosting Punctuation Restoration with Data Generation and Reinforcement Learning. CoRR abs/2307.12949 (2023) - [i26]Zun Wang, Jialu Li, Yicong Hong, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao:
Scaling Data Generation in Vision-and-Language Navigation. CoRR abs/2307.15644 (2023) - [i25]Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan:
LRM: Large Reconstruction Model for Single Image to 3D. CoRR abs/2311.04400 (2023) - [i24]Jiahao Li, Hao Tan, Kai Zhang, Zexiang Xu, Fujun Luan, Yinghao Xu, Yicong Hong, Kalyan Sunkavalli, Greg Shakhnarovich, Sai Bi:
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model. CoRR abs/2311.06214 (2023) - [i23]Yinghao Xu, Hao Tan, Fujun Luan, Sai Bi, Peng Wang, Jiahao Li, Zifan Shi, Kalyan Sunkavalli, Gordon Wetzstein, Zexiang Xu, Kai Zhang:
DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model. CoRR abs/2311.09217 (2023) - [i22]Peng Wang, Hao Tan, Sai Bi, Yinghao Xu, Fujun Luan, Kalyan Sunkavalli, Wenping Wang, Zexiang Xu, Kai Zhang:
PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction. CoRR abs/2311.12024 (2023) - [i21]Desai Xie, Jiahao Li, Hao Tan, Xin Sun, Zhixin Shu, Yi Zhou, Sai Bi, Sören Pirk, Arie E. Kaufman:
Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning. CoRR abs/2312.13980 (2023) - 2022
- [c20]Hao Tan, Chen-Tse Tsai, Yujie He, Mohit Bansal:
Scientific Chart Summarization: Datasets and Improved Text Modeling. SDU@AAAI 2022 - [c19]Jialu Li, Hao Tan, Mohit Bansal:
Envedit: Environment Editing for Vision-and-Language Navigation. CVPR 2022: 15386-15396 - [c18]Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer:
How Much Can CLIP Benefit Vision-and-Language Tasks? ICLR 2022 - [c17]Jialu Li, Hao Tan, Mohit Bansal:
CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations. NAACL-HLT (Findings) 2022: 633-649 - [i20]Jialu Li, Hao Tan, Mohit Bansal:
EnvEdit: Environment Editing for Vision-and-Language Navigation. CoRR abs/2203.15685 (2022) - [i19]Jialu Li, Hao Tan, Mohit Bansal:
CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations. CoRR abs/2207.02185 (2022) - 2021
- [c16]Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal:
Unifying Vision-and-Language Tasks via Text Generation. ICML 2021: 1931-1942 - [c15]Jialu Li, Hao Tan, Mohit Bansal:
Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information. NAACL-HLT 2021: 1041-1050 - [c14]Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal:
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer. NeurIPS 2021: 24468-24481 - [i18]Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal:
Unifying Vision-and-Language Tasks via Text Generation. CoRR abs/2102.02779 (2021) - [i17]Jialu Li, Hao Tan, Mohit Bansal:
Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information. CoRR abs/2104.09580 (2021) - [i16]Hao Tan, Jie Lei, Thomas Wolf, Mohit Bansal:
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning. CoRR abs/2106.11250 (2021) - [i15]Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal:
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer. CoRR abs/2107.02681 (2021) - [i14]Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer:
How Much Can CLIP Benefit Vision-and-Language Tasks? CoRR abs/2107.06383 (2021) - 2020
- [c13]Hyounghun Kim, Hao Tan, Mohit Bansal:
Modality-Balanced Models for Visual Dialogue. AAAI 2020: 8091-8098 - [c12]Qinxin Wang, Hao Tan, Sheng Shen, Michael W. Mahoney, Zhewei Yao:
MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding. EMNLP (1) 2020: 2030-2038 - [c11]Hao Tan, Mohit Bansal:
Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision. EMNLP (1) 2020: 2066-2080 - [c10]Hyounghun Kim, Abhaysinh Zala, Graham Burri, Hao Tan, Mohit Bansal:
ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments. EMNLP (Findings) 2020: 3910-3927 - [c9]Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal:
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions. EMNLP (1) 2020: 8215-8228 - [c8]Haonan Chen, Hao Tan, Alan Kuntz, Mohit Bansal, Ron Alterovitz:
Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning. ICRA 2020: 1963-1969 - [c7]Yubo Zhang, Hao Tan, Mohit Bansal:
Diagnosing the Environment Bias in Vision-and-Language Navigation. IJCAI 2020: 890-897 - [i13]Hyounghun Kim, Hao Tan, Mohit Bansal:
Modality-Balanced Models for Visual Dialogue. CoRR abs/2001.06354 (2020) - [i12]Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal:
The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions. CoRR abs/2004.13606 (2020) - [i11]Yubo Zhang, Hao Tan, Mohit Bansal:
Diagnosing the Environment Bias in Vision-and-Language Navigation. CoRR abs/2005.03086 (2020) - [i10]Qinxin Wang, Hao Tan, Sheng Shen, Michael W. Mahoney, Zhewei Yao:
MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding. CoRR abs/2010.05379 (2020) - [i9]Hao Tan, Mohit Bansal:
Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision. CoRR abs/2010.06775 (2020) - [i8]Hyounghun Kim, Abhay Zala, Graham Burri, Hao Tan, Mohit Bansal:
ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments. CoRR abs/2011.07660 (2020)
2010 – 2019
- 2019
- [c6]Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal:
Expressing Visual Relationships via Language. ACL (1) 2019: 1873-1883 - [c5]Hao Tan, Mohit Bansal:
LXMERT: Learning Cross-Modality Encoder Representations from Transformers. EMNLP/IJCNLP (1) 2019: 5099-5110 - [c4]Hao Tan, Licheng Yu, Mohit Bansal:
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout. NAACL-HLT (1) 2019: 2610-2621 - [i7]Hao Tan, Licheng Yu, Mohit Bansal:
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout. CoRR abs/1904.04195 (2019) - [i6]Haonan Chen, Hao Tan, Alan Kuntz, Mohit Bansal, Ron Alterovitz:
Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning. CoRR abs/1904.12907 (2019) - [i5]Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal:
Expressing Visual Relationships via Language. CoRR abs/1906.07689 (2019) - [i4]Hao Tan, Mohit Bansal:
LXMERT: Learning Cross-Modality Encoder Representations from Transformers. CoRR abs/1908.07490 (2019) - 2018
- [c3]Hao Tan, Mohit Bansal:
Source-Target Inference Models for Spatial Instruction Understanding. AAAI 2018: 5504-5511 - [c2]Hao Tan, Mohit Bansal:
Object Ordering with Bidirectional Matchings for Visual Reasoning. NAACL-HLT (2) 2018: 444-451 - [i3]Hao Tan, Mohit Bansal:
Object Ordering with Bidirectional Matchings for Visual Reasoning. CoRR abs/1804.06870 (2018) - 2017
- [c1]Licheng Yu, Hao Tan, Mohit Bansal, Tamara L. Berg:
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions. CVPR 2017: 3521-3529 - [i2]Hao Tan, Mohit Bansal:
Source-Target Inference Models for Spatial Instruction Understanding. CoRR abs/1707.03804 (2017) - 2016
- [i1]Licheng Yu, Hao Tan, Mohit Bansal, Tamara L. Berg:
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions. CoRR abs/1612.09542 (2016)
Coauthor Index
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