activity
20182024
most citedSegregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection

9 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes

Chensheng Peng, Chengwei Zhang, Yixiao Wang +6

We present DeSiRe-GS, a self-supervised gaussian splatting representation, enabling effective static-dynamic decomposition and high-fidelity surface reconstruction in complex drivi…

cs.AI2021★ 2 cited

MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing

Chengwei Zhang, Yangzhou Jiang, Wei Zhang +1

Transformer based knowledge tracing model is an extensively studied problem in the field of computer-aided education. By integrating temporal features into the encoder-decoder stru…

cs.CV2020★ 3 cited

SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition

Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng +4

Arbitrary text appearance poses a great challenge in scene text recognition tasks. Existing works mostly handle with the problem in consideration of the shape distortion, including…

cs.CV2019★ 2 cited

Adversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization

Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng +4

Temporal action localization is an important yet challenging research topic due to its various applications. Since the frame-level or segment-level annotations of untrimmed videos…

cs.CV2018★ 9 cited

Segregated Temporal Assembly Recurrent Networks for Weakly Supervised Multiple Action Detection

Yunlu Xu, Chengwei Zhang, Zhanzhan Cheng +4

This paper proposes a segregated temporal assembly recurrent (STAR) network for weakly-supervised multiple action detection. The model learns from untrimmed videos with only superv…