activity
20202023
most citedStreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views

22 citations · 50 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.CV2023★ 22 cited

StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views

Jianfei Guo, Nianchen Deng, Xinyang Li +6

We present a novel multi-view implicit surface reconstruction technique, termed StreetSurf, that is readily applicable to street view images in widely-used autonomous driving datas…

cs.CV2022

Discovering A Variety of Objects in Spatio-Temporal Human-Object Interactions

Yong-Lu Li, Hongwei Fan, Zuoyu Qiu +8

Spatio-temporal Human-Object Interaction (ST-HOI) detection aims at detecting HOIs from videos, which is crucial for activity understanding. In daily HOIs, humans often interact wi…

cs.CV2022

ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation

Liang Xu, Ziyang Song, Dongliang Wang +9

We present a GAN-based Transformer for general action-conditioned 3D human motion generation, including not only single-person actions but also multi-person interactive actions. Ou…

cs.CV2021★ 1 cited

Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection

Shoubin Yu, Zhongyin Zhao, Haoshu Fang +6

Anomaly detection in surveillance videos is challenging and important for ensuring public security. Different from pixel-based anomaly detection methods, pose-based methods utilize…

cs.CV2021★ 2 cited

Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021

Haisheng Su, Peiqin Zhuang, Yukun Li +4

This technical report presents an overview of our solution used in the submission to 2021 HACS Temporal Action Localization Challenge on both Supervised Learning Track and Weakly-S…

cs.CV2021★ 3 cited

TSI: Temporal Saliency Integration for Video Action Recognition

Haisheng Su, Kunchang Li, Jinyuan Feng +4

Efficient spatiotemporal modeling is an important yet challenging problem for video action recognition. Existing state-of-the-art methods exploit neighboring feature differences to…

cs.CV2021★ 13 cited

Temporal Context Aggregation Network for Temporal Action Proposal Refinement

Zhiwu Qing, Haisheng Su, Weihao Gan +7

Temporal action proposal generation aims to estimate temporal intervals of actions in untrimmed videos, which is a challenging yet important task in the video understanding field.…

cs.CV2020★ 9 cited

Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition

Haisheng Su, Jing Su, Dongliang Wang +5

Recent years have witnessed the significant progress of action recognition task with deep networks. However, most of current video networks require large memory and computational r…