Honglu Zhou

According to our database, Honglu Zhou authored at least 29 papers between 2016 and 2024.

Collaborative distances:

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

2024

ViUniT: Visual Unit Tests for More Robust Visual Programming.

Artemis Panagopoulou, Honglu Zhou, Silvio Savarese, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, Juan Carlos Niebles

CoRR, 2024

xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs.

Michael S. Ryoo, Honglu Zhou, Shrikant Kendre, Can Qin, Le Xue, Manli Shu, Silvio Savarese, Ran Xu, Caiming Xiong, Juan Carlos Niebles

CoRR, 2024

Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization.

Chamuditha Jayanga Galappaththige, Zachary Izzo, Xilin He, Honglu Zhou, Muhammad Haris Khan

CoRR, 2024

xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations.

Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong

CoRR, 2024

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models.

Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu

CoRR, 2024

Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos.

Kumaranage Ravindu Yasas Nagasinghe, Honglu Zhou, Malitha Gunawardhana, Martin Renqiang Min, Daniel Harari, Muhammad Haris Khan

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

Learning from Synthetic Human Group Activities.

Che-Jui Chang, Danrui Li, Deep Patel, Parth Goel, Honglu Zhou, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

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

2023

Learning from Synthetic Human Group Activities.

Che-Jui Chang, Honglu Zhou, Parth Goel, Aditya Bhat, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

CoRR, 2023

A Multiscale Geospatial Dataset and an Interactive Visualization Dashboard for Computational Epidemiology and Open Scientific Research.

Muhammad Usman, Honglu Zhou, Seonghyeon Moon, Xun Zhang, Petros Faloutsos, Mubbasir Kapadia

IEEE Computer Graphics and Applications, 2023

Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning.

Honglu Zhou, Advith Chegu, Samuel S. Sohn, Zuohui Fu, Gerard de Melo, Mubbasir Kapadia

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

MSI: Maximize Support-Set Information for Few-Shot Segmentation.

Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia

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

Procedure-Aware Pretraining for Instructional Video Understanding.

Honglu Zhou, Roberto Martín-Martín, Mubbasir Kapadia, Silvio Savarese, Juan Carlos Niebles

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Graph-based generative representation learning of semantically and behaviorally augmented floorplans.

Vahid Azizi, Muhammad Usman, Honglu Zhou, Petros Faloutsos, Mubbasir Kapadia

Vis. Comput., 2022

HMFS: Hybrid Masking for Few-Shot Segmentation.

Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia

CoRR, 2022

Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction.

Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality.

Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf

Proceedings of the Computer Vision - ECCV 2022, 2022

HM: Hybrid Masking for Few-Shot Segmentation.

Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia

Proceedings of the Computer Vision - ECCV 2022, 2022

D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning.

Honglu Zhou, Advith Chegu, Samuel S. Sohn, Zuohui Fu, Gerard de Melo, Mubbasir Kapadia

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Investigating Neighborhood Modeling and Asymmetry Preservation in Digraph Representation Learning.

Honglu Zhou, Advith Chegu, Samuel S. Sohn, Mubbasir Kapadia

CoRR, 2021

COMPOSER: Compositional Learning of Group Activity in Videos.

Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf

CoRR, 2021

Hopper: Multi-hop Transformer for Spatiotemporal Reasoning.

Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

GitEvolve: Predicting the Evolution of GitHub Repositories.

Honglu Zhou, Hareesh Ravi, Carlos Manuel Muñiz, Vahid Azizi, Linda Ness, Gerard de Melo, Mubbasir Kapadia

CoRR, 2020

Understanding Echo Chambers in E-commerce Recommender Systems.

Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

HID: Hierarchical Multiscale Representation Learning for Information Diffusion.

Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia

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

Laying the Foundations of Deep Long-Term Crowd Flow Prediction.

Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Deep Crowd-Flow Prediction in Built Environments.

Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia

CoRR, 2019

Scenario Generalization of Data-driven Imitation Models in Crowd Simulation.

Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic

Proceedings of the Motion, Interaction and Games, 2019

2018

A comparative study of improved GA and PSO in solving multiple traveling salesmen problem.

Honglu Zhou, Mingli Song, Witold Pedrycz

Appl. Soft Comput., 2018

2016

An improvement of partheno-genetic algorithm to solve multiple travelling salesmen problem.

Honglu Zhou, Mingli Song

Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science, 2016