Wang, Y.C.[Yue-Chen],
Deng, J.J.[Jia-Jun],
Zhou, W.G.[Wen-Gang],
Li, H.Q.[Hou-Qiang],
Weakly Supervised Temporal Adjacent Network for Language Grounding,
MultMed(24), 2022, pp. 3276-3286.
IEEE DOI
2207
Grounding, Semantics, Feature extraction, Visualization,
Task analysis, Annotations, Training, Temporal language grounding,
multiple instance learning
BibRef
Tang, H.Y.[Hao-Yu],
Zhu, J.[Jihua],
Wang, L.[Lin],
Zheng, Q.H.[Qing-Hai],
Zhang, T.W.[Tian-Wei],
Multi-Level Query Interaction for Temporal Language Grounding,
ITS(23), No. 12, December 2022, pp. 25479-25488.
IEEE DOI
2212
Semantics, Task analysis, Grounding, Proposals, Syntactics,
Location awareness, Feature extraction, Human-machine interface,
multi-level interaction
BibRef
Zeng, Y.W.[Ya-Wen],
Han, N.[Ning],
Pan, K.Y.[Ke-Yu],
Jin, Q.[Qin],
Temporally Language Grounding With Multi-Modal Multi-Prompt Tuning,
MultMed(26), 2024, pp. 3366-3377.
IEEE DOI
2402
Task analysis, Grounding, Transformers, Tuning, Visualization,
Semantics, Robustness, Temporally language grounding,
multi-modal understanding
BibRef
Zhang, T.[Tong],
Lu, X.K.[Xian-Kai],
Zhang, H.[Hao],
Nie, X.S.[Xiu-Shan],
Yin, Y.L.[Yi-Long],
Shen, J.B.[Jian-Bing],
Relational Network via Cascade CRF for Video Language Grounding,
MultMed(26), 2024, pp. 8297-8311.
IEEE DOI
2408
Proposals, Task analysis, Grounding, Semantics,
Conditional random fields, Location awareness, Indexes,
proposal free
BibRef
Dong, P.J.[Pei-Jie],
Yang, X.F.[Xiao-Fei],
Wang, Q.[Qiang],
Li, Z.X.[Zhi-Xu],
Li, T.[Tiefeng],
Chu, X.W.[Xiao-Wen],
Multi-task Domain Adaptation for Language Grounding with 3d Objects,
ECCV24(XXXIV: 387-404).
Springer DOI
2412
BibRef
Hegde, D.[Deepti],
Valanarasu, J.M.J.[Jeya Maria Jose],
Patel, V.M.[Vishal M.],
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D
Recognition,
OpenSUN3D(2020-2030)
IEEE DOI Code:
WWW Link.
2401
BibRef
Jain, A.[Ayush],
Gkanatsios, N.[Nikolaos],
Mediratta, I.[Ishita],
Fragkiadaki, K.[Katerina],
Bottom Up Top Down Detection Transformers for Language Grounding in
Images and Point Clouds,
ECCV22(XXXVI:417-433).
Springer DOI
2211
BibRef
Heisler, M.[Morgan],
Banitalebi-Dehkordi, A.[Amin],
Zhang, Y.[Yong],
SemAug: Semantically Meaningful Image Augmentations for Object
Detection Through Language Grounding,
ECCV22(XXXVI:610-626).
Springer DOI
2211
BibRef
Soldan, M.[Mattia],
Pardo, A.[Alejandro],
Alcázar, J.L.[Juan León],
Heilbron, F.C.[Fabian Caba],
Zhao, C.[Chen],
Giancola, S.[Silvio],
Ghanem, B.[Bernard],
MAD: A Scalable Dataset for Language Grounding in Videos from Movie
Audio Descriptions,
CVPR22(5016-5025)
IEEE DOI
2210
Grounding, Annotations, Pipelines, Natural languages,
Machine learning, Benchmark testing, Vision + language,
Video analysis and understanding
BibRef
Prabhudesai, M.[Mihir],
Tung, H.Y.F.[Hsiao-Yu Fish],
Javed, S.A.[Syed Ashar],
Sieb, M.[Maximilian],
Harley, A.W.[Adam W.],
Fragkiadaki, K.[Katerina],
Embodied Language Grounding With 3D Visual Feature Representations,
CVPR20(2217-2226)
IEEE DOI
2008
Associating language utterances to 3D visual abstractions.
Visualization,
Cameras, Feature extraction, Detectors, Solid modeling
BibRef
Bajaj, M.,
Wang, L.,
Sigal, L.,
G3raphGround: Graph-Based Language Grounding,
ICCV19(4280-4289)
IEEE DOI
2004
graph theory, image capture, image representation,
image segmentation, natural language processing, neural nets, Encoding
BibRef
Sinha, A.[Abhishek],
Akilesh, B.,
Sarkar, M.[Mausoom],
Krishnamurthy, B.[Balaji],
Attention Based Natural Language Grounding by Navigating Virtual
Environment,
WACV19(236-244)
IEEE DOI
1904
learning (artificial intelligence),
natural language processing, virtual reality,
Grounding
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Large Language Models and Visual Grounding .