Hao Tan

According to our database, Hao Tan authored at least 41 papers between 2017 and 2024.

Collaborative distances:

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

2024

LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias.

Haian Jin, Hanwen Jiang, Hao Tan, Kai Zhang, Sai Bi, Tianyuan Zhang, Fujun Luan, Noah Snavely, Zexiang Xu

CoRR, 2024

Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats.

Ziwen Chen, Hao Tan, Kai Zhang, Sai Bi, Fujun Luan, Yicong Hong, Fuxin Li, Zexiang Xu

CoRR, 2024

Progressive Autoregressive Video Diffusion Models.

Desai Xie, Zhan Xu, Yicong Hong, Hao Tan, Difan Liu, Feng Liu, Arie E. Kaufman, Yang Zhou

CoRR, 2024

RelitLRM: Generative Relightable Radiance for Large Reconstruction Models.

Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang Xu, Sai Bi, Hao Tan, He Zhang, Yiwei Hu, Milos Hasan, William T. Freeman, Kai Zhang, Fujun Luan

CoRR, 2024

Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models.

Minh Nguyen, Franck Dernoncourt, Seunghyun Yoon, Hanieh Deilamsalehy, Hao Tan, Ryan A. Rossi, Quan Hung Tran, Trung Bui, Thien Huu Nguyen

CoRR, 2024

LRM-Zero: Training Large Reconstruction Models with Synthesized Data.

Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu, Yi Zhou, Sören Pirk, Arie E. Kaufman, Xin Sun, Hao Tan

CoRR, 2024

Pre-trained Vision-Language Models Learn Discoverable Visual Concepts.

Yuan Zang, Tian Yun, Hao Tan, Trung Bui, Chen Sun

CoRR, 2024

MeshLRM: Large Reconstruction Model for High-Quality Mesh.

Xinyue Wei, Kai Zhang, Sai Bi, Hao Tan, Fujun Luan, Valentin Deschaintre, Kalyan Sunkavalli, Hao Su, Zexiang Xu

CoRR, 2024

Single-View 3D Human Digitalization with Large Reconstruction Models.

Zhenzhen Weng, Jingyuan Liu, Hao Tan, Zhan Xu, Yang Zhou, Serena Yeung-Levy, Jimei Yang

CoRR, 2024

DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model.

Yinghao Xu, Hao Tan, Fujun Luan, Sai Bi, Peng Wang, Jiahao Li, Zifan Shi, Kalyan Sunkavalli, Gordon Wetzstein, Zexiang Xu, Kai Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model.

Jiahao Li, Hao Tan, Kai Zhang, Zexiang Xu, Fujun Luan, Yinghao Xu, Yicong Hong, Kalyan Sunkavalli, Greg Shakhnarovich, Sai Bi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LRM: Large Reconstruction Model for Single Image to 3D.

Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SOHES: Self-supervised Open-world Hierarchical Entity Segmentation.

Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction.

Peng Wang, Hao Tan, Sai Bi, Yinghao Xu, Fujun Luan, Kalyan Sunkavalli, Wenping Wang, Zexiang Xu, Kai Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting.

Kai Zhang, Sai Bi, Hao Tan, Yuanbo Xiangli, Nanxuan Zhao, Kalyan Sunkavalli, Zexiang Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning.

Desai Xie, Jiahao Li, Hao Tan, Xin Sun, Zhixin Shu, Yi Zhou, Sai Bi, Sören Pirk, Arie E. Kaufman

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

2023

Boosting Punctuation Restoration with Data Generation and Reinforcement Learning.

Viet Dac Lai, Abel Salinas, Hao Tan, Trung Bui, Quan Hung Tran, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Thien Huu Nguyen

CoRR, 2023

Boosting Punctuation Restoration with Data Generation and Reinforcement Learning.

Viet Dac Lai, Abel Salinas, Hao Tan, Trung Bui, Quan Tran, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Thien Huu Nguyen

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Scaling Data Generation in Vision-and-Language Navigation.

Zun Wang, Jialu Li, Yicong Hong, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao

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

Learning Navigational Visual Representations with Semantic Map Supervision.

Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan

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

2022

CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations.

Jialu Li, Hao Tan, Mohit Bansal

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

How Much Can CLIP Benefit Vision-and-Language Tasks?

Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer

Proceedings of the Tenth International Conference on Learning Representations, 2022

Envedit: Environment Editing for Vision-and-Language Navigation.

Jialu Li, Hao Tan, Mohit Bansal

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

Scientific Chart Summarization: Datasets and Improved Text Modeling.

Hao Tan, Chen-Tse Tsai, Yujie He, Mohit Bansal

Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021

VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning.

Hao Tan, Jie Lei, Thomas Wolf, Mohit Bansal

CoRR, 2021

VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer.

Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal

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

Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information.

Jialu Li, Hao Tan, Mohit Bansal

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Unifying Vision-and-Language Tasks via Text Generation.

Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Diagnosing the Environment Bias in Vision-and-Language Navigation.

Yubo Zhang, Hao Tan, Mohit Bansal

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning.

Haonan Chen, Hao Tan, Alan Kuntz, Mohit Bansal, Ron Alterovitz

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions.

Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding.

Qinxin Wang, Hao Tan, Sheng Shen, Michael W. Mahoney, Zhewei Yao

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision.

Hao Tan, Mohit Bansal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments.

Hyounghun Kim, Abhaysinh Zala, Graham Burri, Hao Tan, Mohit Bansal

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Modality-Balanced Models for Visual Dialogue.

Hyounghun Kim, Hao Tan, Mohit Bansal

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout.

Hao Tan, Licheng Yu, Mohit Bansal

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

LXMERT: Learning Cross-Modality Encoder Representations from Transformers.

Hao Tan, Mohit Bansal

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Expressing Visual Relationships via Language.

Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Object Ordering with Bidirectional Matchings for Visual Reasoning.

Hao Tan, Mohit Bansal

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Source-Target Inference Models for Spatial Instruction Understanding.

Hao Tan, Mohit Bansal

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A Joint Speaker-Listener-Reinforcer Model for Referring Expressions.

Licheng Yu, Hao Tan, Mohit Bansal, Tamara L. Berg

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017