1 code implementation • 8 Apr 2024 • Zijia Lu, Bing Shuai, Yanbei Chen, Zhenlin Xu, Davide Modolo
In this paper, we propose a novel concept of path consistency to learn robust object matching without using manual object identity supervision.
1 code implementation • 30 Jan 2024 • Yuanjie Lyu, Zhiyu Li, Simin Niu, Feiyu Xiong, Bo Tang, Wenjin Wang, Hao Wu, Huanyong Liu, Tong Xu, Enhong Chen, Yi Luo, Peng Cheng, Haiying Deng, Zhonghao Wang, Zijia Lu
For each of these CRUD categories, we have developed comprehensive datasets to evaluate the performance of RAG systems.
no code implementations • 28 Aug 2023 • Zijia Lu, Ehsan Elhamifar
We address the task of supervised action segmentation which aims to partition a video into non-overlapping segments, each representing a different action.
Ranked #2 on Action Segmentation on Breakfast
no code implementations • 20 Jul 2023 • Zhonghao Wang, Zijia Lu, Bo Jin, Haiying Deng
Large language models (LLMs) have shown remarkable capabilities in generating high-quality text and making predictions based on large amounts of data, including the media domain.
1 code implementation • CVPR 2022 • Zijia Lu, Ehsan Elhamifar
We address the problem of set-supervised action learning, whose goal is to learn an action segmentation model using weak supervision in the form of sets of actions occurring in training videos.
Pseudo Label Weakly Supervised Action Segmentation (Action Set))
1 code implementation • ICCV 2021 • Zijia Lu, Ehsan Elhamifar
We address the problem of learning to segment actions from weakly-annotated videos, i. e., videos accompanied by transcripts (ordered list of actions).