ResearchTrend.AI
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding

CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding

Zhijian Hou
Wanjun Zhong
Lei Ji
Difei Gao
Kun Yan
W. Chan
Chong-Wah Ngo
Zheng Shou
Nan Duan
ArXivPDFHTML

Papers citing "CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding"

13 / 13 papers shown
Title
Object-Shot Enhanced Grounding Network for Egocentric Video
Object-Shot Enhanced Grounding Network for Egocentric Video
Yisen Feng
Haoyu Zhang
Meng Liu
Weili Guan
Liqiang Nie
36
0
0
07 May 2025
SEAL: Semantic Attention Learning for Long Video Representation
SEAL: Semantic Attention Learning for Long Video Representation
Lan Wang
Yujia Chen
Wen-Sheng Chu
Vishnu Naresh Boddeti
Du Tran
VLM
67
0
0
02 Dec 2024
RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos
RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos
Tanveer Hannan
Md. Mohaiminul Islam
Thomas Seidl
Gedas Bertasius
14
3
0
11 Dec 2023
MINOTAUR: Multi-task Video Grounding From Multimodal Queries
MINOTAUR: Multi-task Video Grounding From Multimodal Queries
Raghav Goyal
E. Mavroudi
Xitong Yang
Sainbayar Sukhbaatar
Leonid Sigal
Matt Feiszli
Lorenzo Torresani
Du Tran
8
7
0
16 Feb 2023
NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory
NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory
Santhosh Kumar Ramakrishnan
Ziad Al-Halah
Kristen Grauman
68
30
0
02 Jan 2023
Contrastive Video-Language Learning with Fine-grained Frame Sampling
Contrastive Video-Language Learning with Fine-grained Frame Sampling
Zixu Wang
Yujie Zhong
Yishu Miao
Lin Ma
Lucia Specia
24
11
0
10 Oct 2022
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman
Andrew Westbury
Eugene Byrne
Zachary Chavis
Antonino Furnari
...
Mike Zheng Shou
Antonio Torralba
Lorenzo Torresani
Mingfei Yan
Jitendra Malik
EgoV
212
682
0
13 Oct 2021
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
Hu Xu
Gargi Ghosh
Po-Yao (Bernie) Huang
Dmytro Okhonko
Armen Aghajanyan
Florian Metze
Luke Zettlemoyer
Florian Metze Luke Zettlemoyer Christoph Feichtenhofer
CLIP
VLM
242
554
0
28 Sep 2021
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
Yanbei Chen
Yongqin Xian
A. Sophia Koepke
Ying Shan
Zeynep Akata
59
79
0
22 Apr 2021
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
Huaishao Luo
Lei Ji
Ming Zhong
Yang Chen
Wen Lei
Nan Duan
Tianrui Li
CLIP
VLM
301
771
0
18 Apr 2021
Natural Language Video Localization: A Revisit in Span-based Question Answering Framework
Natural Language Video Localization: A Revisit in Span-based Question Answering Framework
Hao Zhang
Aixin Sun
Wei Jing
Liangli Zhen
Joey Tianyi Zhou
Rick Siow Mong Goh
98
84
0
26 Feb 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng
Chenyan Xiong
Payal Bajaj
Saurabh Tiwary
Paul N. Bennett
Jiawei Han
Xia Song
114
201
0
16 Feb 2021
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
Jie Lei
Licheng Yu
Tamara L. Berg
Mohit Bansal
106
268
0
24 Jan 2020