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Honglu Zhou
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2020 – today
- 2024
- [i13]Kumaranage Ravindu Yasas Nagasinghe, Honglu Zhou, Malitha Gunawardhana, Martin Renqiang Min, Daniel Harari, Muhammad Haris Khan:
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos. CoRR abs/2403.02782 (2024) - 2023
- [j3]Muhammad Usman
, Honglu Zhou
, Seonghyeon Moon, Xun Zhang, Petros Faloutsos
, Mubbasir Kapadia:
A Multiscale Geospatial Dataset and an Interactive Visualization Dashboard for Computational Epidemiology and Open Scientific Research. IEEE Computer Graphics and Applications 43(1): 39-52 (2023) - [c13]Honglu Zhou, Roberto Martín-Martín, Mubbasir Kapadia, Silvio Savarese, Juan Carlos Niebles:
Procedure-Aware Pretraining for Instructional Video Understanding. CVPR 2023: 10727-10738 - [c12]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
MSI: Maximize Support-Set Information for Few-Shot Segmentation. ICCV 2023: 19209-19219 - [c11]Honglu Zhou, Advith Chegu, Samuel S. Sohn, Zuohui Fu, Gerard de Melo, Mubbasir Kapadia:
Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. IJCAI 2023: 6519-6524 - [i12]Honglu Zhou, Roberto Martín-Martín, Mubbasir Kapadia, Silvio Savarese, Juan Carlos Niebles:
Procedure-Aware Pretraining for Instructional Video Understanding. CoRR abs/2303.18230 (2023) - [i11]Che-Jui Chang, Honglu Zhou, Parth Goel, Aditya Bhat, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Learning from Synthetic Human Group Activities. CoRR abs/2306.16772 (2023) - 2022
- [j2]Vahid Azizi, Muhammad Usman
, Honglu Zhou, Petros Faloutsos, Mubbasir Kapadia:
Graph-based generative representation learning of semantically and behaviorally augmented floorplans. Vis. Comput. 38(8): 2785-2800 (2022) - [c10]Honglu Zhou, Advith Chegu, Samuel S. Sohn, Zuohui Fu, Gerard de Melo, Mubbasir Kapadia:
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. CIKM 2022: 2732-2742 - [c9]Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf:
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality. ECCV (35) 2022: 249-266 - [c8]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
HM: Hybrid Masking for Few-Shot Segmentation. ECCV (20) 2022: 506-523 - [c7]Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Mihee Lee, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction. IJCAI 2022: 1328-1334 - [i10]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
HMFS: Hybrid Masking for Few-Shot Segmentation. CoRR abs/2203.12826 (2022) - [i9]Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia:
MSI: Maximize Support-Set Information for Few-Shot Segmentation. CoRR abs/2212.04673 (2022) - 2021
- [c6]Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf:
Hopper: Multi-hop Transformer for Spatiotemporal Reasoning. ICLR 2021 - [i8]Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Renqiang Min, Mubbasir Kapadia, Hans Peter Graf:
Hopper: Multi-hop Transformer for Spatiotemporal Reasoning. CoRR abs/2103.10574 (2021) - [i7]Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf:
COMPOSER: Compositional Learning of Group Activity in Videos. CoRR abs/2112.05892 (2021) - [i6]Honglu Zhou, Advith Chegu, Samuel S. Sohn, Mubbasir Kapadia:
Investigating Neighborhood Modeling and Asymmetry Preservation in Digraph Representation Learning. CoRR abs/2112.11734 (2021) - 2020
- [c5]Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Laying the Foundations of Deep Long-Term Crowd Flow Prediction. ECCV (29) 2020: 711-728 - [c4]Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia:
HID: Hierarchical Multiscale Representation Learning for Information Diffusion. IJCAI 2020: 3385-3391 - [c3]Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang:
Understanding Echo Chambers in E-commerce Recommender Systems. SIGIR 2020: 2261-2270 - [i5]Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang:
Understanding Echo Chambers in E-commerce Recommender Systems. CoRR abs/2007.02474 (2020) - [i4]Honglu Zhou, Hareesh Ravi, Carlos Manuel Muñiz, Vahid Azizi, Linda Ness, Gerard de Melo, Mubbasir Kapadia:
GitEvolve: Predicting the Evolution of GitHub Repositories. CoRR abs/2010.04366 (2020) - [i3]Vahid Azizi, Muhammad Usman, Honglu Zhou, Petros Faloutsos, Mubbasir Kapadia:
Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans. CoRR abs/2012.04735 (2020)
2010 – 2019
- 2019
- [c2]Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic
:
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. MIG 2019: 36:1-36:11 - [i2]Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic:
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. CoRR abs/1910.00738 (2019) - [i1]Samuel S. Sohn, Seonghyeon Moon, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Deep Crowd-Flow Prediction in Built Environments. CoRR abs/1910.05810 (2019) - 2018
- [j1]Honglu Zhou, Mingli Song, Witold Pedrycz:
A comparative study of improved GA and PSO in solving multiple traveling salesmen problem. Appl. Soft Comput. 64: 564-580 (2018) - 2016
- [c1]Honglu Zhou, Mingli Song:
An improvement of partheno-genetic algorithm to solve multiple travelling salesmen problem. ICIS 2016: 1-6
Coauthor Index
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