activity
20212025
most citedProcedure-Aware Pretraining for Instructional Video Understanding

2 citations · 4 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV2025

CASIM: Composite Aware Semantic Injection for Text to Motion Generation

Che-Jui Chang, Qingze Tony Liu, Honglu Zhou +2

Recent advances in generative modeling and tokenization have driven significant progress in text-to-motion generation, leading to enhanced quality and realism in generated motions.…

cs.CV2023

M3Act: Learning from Synthetic Human Group Activities

Che-Jui Chang, Danrui Li, Deep Patel +7

The study of complex human interactions and group activities has become a focal point in human-centric computer vision. However, progress in related tasks is often hindered by the…

cs.CV2023★ 2 cited

Procedure-Aware Pretraining for Instructional Video Understanding

Honglu Zhou, Roberto Martín-Martín, Mubbasir Kapadia +2

Our goal is to learn a video representation that is useful for downstream procedure understanding tasks in instructional videos. Due to the small amount of available annotations, a…

cs.CV2022

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

Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou +4

FSS(Few-shot segmentation) aims to segment a target class using a small number of labeled images(support set). To extract information relevant to the target class, a dominant appro…

cs.CV2022

HM: Hybrid Masking for Few-Shot Segmentation

Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou +4

We study few-shot semantic segmentation that aims to segment a target object from a query image when provided with a few annotated support images of the target class. Several recen…

cs.CV2021

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

Honglu Zhou, Asim Kadav, Aviv Shamsian +6

Group Activity Recognition detects the activity collectively performed by a group of actors, which requires compositional reasoning of actors and objects. We approach the task by m…

cs.CV2021★ 1 cited

Hopper: Multi-hop Transformer for Spatiotemporal Reasoning

Honglu Zhou, Asim Kadav, Farley Lai +4

This paper considers the problem of spatiotemporal object-centric reasoning in videos. Central to our approach is the notion of object permanence, i.e., the ability to reason about…