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Honglu Zhou
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2020 – today
- 2024
- [c15]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. CVPR 2024: 18816-18826 - [c14]Che-Jui Chang, Danrui Li, Deep Patel, Parth Goel, Honglu Zhou, Seonghyeon Moon, Samuel S. Sohn, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia:
Learning from Synthetic Human Group Activities. CVPR 2024: 21922-21932 - [i17]Kumaranage Ravindu Yasas Nagasinghe, Honglu Zhou, Malitha Gunawardhana
, Martin Renqiang Min
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos. CoRR abs/2403.02782 (2024) - [i16]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:
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR abs/2408.08872 (2024) - [i15]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:
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR abs/2408.12590 (2024) - [i14]Chamuditha Jayanga Galappaththige, Zachary Izzo, Xilin He, Honglu Zhou, Muhammad Haris Khan:
Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization. CoRR abs/2409.03509 (2024) - [i13]Michael S. Ryoo, Honglu Zhou, Shrikant Kendre, Can Qin, Le Xue, Manli Shu, Silvio Savarese, Ran Xu, Caiming Xiong, Juan Carlos Niebles:
xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs. CoRR abs/2410.16267 (2024) - 2023
- [j3]Muhammad Usman
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
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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