activity
20152023
most citedHierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning

42 citations · 106 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2023

ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking

Yuanyou Xu, Jiahao Li, Zongxin Yang +2

The Associating Objects with Transformers (AOT) framework has exhibited exceptional performance in a wide range of complex scenarios for video object tracking and segmentation. In…

cs.CV2023

ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation

Jiahao Li, Yuanyou Xu, Zongxin Yang +2

The Associating Objects with Transformers (AOT) framework has exhibited exceptional performance in a wide range of complex scenarios for video object segmentation. In this study, w…

cs.CV2023★ 13 cited

Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding

Juncheng Li, Siliang Tang, Linchao Zhu +5

Temporal grounding is the task of locating a specific segment from an untrimmed video according to a query sentence. This task has achieved significant momentum in the computer vis…

cs.CV2022★ 2 cited

ReLER@ZJU-Alibaba Submission to the Ego4D Natural Language Queries Challenge 2022

Naiyuan Liu, Xiaohan Wang, Xiaobo Li +2

In this report, we present the ReLER@ZJU-Alibaba submission to the Ego4D Natural Language Queries (NLQ) Challenge in CVPR 2022. Given a video clip and a text query, the goal of thi…

cs.CV2022★ 5 cited

Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning

Juncheng Li, Junlin Xie, Long Qian +6

Temporal grounding in videos aims to localize one target video segment that semantically corresponds to a given query sentence. Thanks to the semantic diversity of natural language…

eess.IV2022★ 26 cited

Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images

Xiaoqiang Wang, Lei Zhu, Siliang Tang +5

Training deep models for RGB-D salient object detection (SOD) often requires a large number of labeled RGB-D images. However, RGB-D data is not easily acquired, which limits the de…