20.4.3.3.3 Video Question Answering, Movies, Spatio-Temporal, Query, VQA

Chapter Contents (Back)
Question Answer. Video Q-A. VQA. A somewhat arbitrary subset of the VQA papers.
See also Large Language Models for Vision, LLM, LVLM.

Wu, Y.C.[Yu-Chieh], Yang, J.C.[Jie-Chi],
A Robust Passage Retrieval Algorithm for Video Question Answering,
CirSysVideo(18), No. 10, October 2008, pp. 1411-1421.
IEEE DOI 0811
BibRef

Wu, Y.C.[Yu-Chieh], Lee, Y.S.[Yue-Shi], Yang, J.C.[Jie-Chi], Yen, S.J.[Show-Jane],
A New Passage Ranking Algorithm for Video Question Answering,
PSIVT06(563-572).
Springer DOI 0612
BibRef

Li, G.D.[Guang-Da], Li, H.J.[Hao-Jie], Ming, Z.Y.[Zhao-Yan], Hong, R.C.[Ri-Chang], Tang, S.[Sheng], Chua, T.S.[Tat-Seng],
Question Answering over Community-Contributed Web Videos,
MultMedMag(17), No. 4, October-December 2010, pp. 46-57.
IEEE DOI 1011
BibRef

Song, Y.C.[Yi-Cheng], Li, H.J.[Hao-Jie],
Mash-Up Approach for Web Video Category Recommendation,
PSIVT10(197-202).
IEEE DOI 1011
BibRef

Guo, Z.Y.[Zhao-Yu], Zhao, Z.[Zhou], Jin, W.[Weike], Wei, Z.C.[Zhi-Cheng], Yang, M.[Min], Wang, N.N.[Nan-Nan], Yuan, N.J.[Nicholas Jing],
Multi-Turn Video Question Generation via Reinforced Multi-Choice Attention Network,
CirSysVideo(31), No. 5, 2021, pp. 1697-1710.
IEEE DOI 2105
BibRef

Xue, H.Y.[Hong-Yang], Chu, W., Zhao, Z.[Zhou], Cai, D.[Deng],
A Better Way to Attend: Attention With Trees for Video Question Answering,
IP(27), No. 11, November 2018, pp. 5563-5574.
IEEE DOI 1809
computational linguistics, feature extraction, grammars, natural language processing, scene understanding BibRef

Xue, H.Y.[Hong-Yang], Zhao, Z.[Zhou], Cai, D.[Deng],
Unifying the Video and Question Attentions for Open-Ended Video Question Answering,
IP(26), No. 12, December 2017, pp. 5656-5666.
IEEE DOI 1710
image retrieval, video coding, temporal question attention, temporal structures, Adaptation models, Coherence, Hair, Knowledge discovery, BibRef

Zhao, Z.[Zhou], Xiao, S.W.[Shu-Wen], Song, Z.[Zehan], Lu, C.J.[Chu-Jie], Xiao, J.[Jun], Zhuang, Y.T.[Yue-Ting],
Open-Ended Video Question Answering via Multi-Modal Conditional Adversarial Networks,
IP(29), 2020, pp. 3859-3870.
IEEE DOI 2002
Open-ended video question answering, multi-modal neural network BibRef

Zhao, Z.[Zhou], Zhang, Z.[Zhu], Xiao, S.W.[Shu-Wen], Xiao, Z.X.[Zhen-Xin], Yan, X.H.[Xiao-Hui], Yu, J.[Jun], Cai, D.[Deng], Wu, F.[Fei],
Long-Form Video Question Answering via Dynamic Hierarchical Reinforced Networks,
IP(28), No. 12, December 2019, pp. 5939-5952.
IEEE DOI 1909
Knowledge discovery, Semantics, Visualization, Natural languages, Road transportation, Task analysis, Decoding, reinforcement learning BibRef

Yu, T.[Ting], Yu, J.[Jun], Yu, Z.[Zhou], Huang, Q.M.[Qing-Ming], Tian, Q.[Qi],
Long-Term Video Question Answering via Multimodal Hierarchical Memory Attentive Networks,
CirSysVideo(31), No. 3, March 2021, pp. 931-944.
IEEE DOI 2103
Knowledge discovery, Cognition, Visualization, Task analysis, Semantics, Engines, Computational modeling, Long-term, in-depth reasoning BibRef

Jang, Y.[Yunseok], Song, Y.[Yale], Kim, C.D.[Chris Dongjoo], Yu, Y.[Youngjae], Kim, Y.[Youngjin], Kim, G.[Gunhee],
Video Question Answering with Spatio-Temporal Reasoning,
IJCV(127), No. 10, October 2019, pp. 1385-1412.
Springer DOI 1909
BibRef
Earlier: A1, A2, A4, A5, A6, Only:
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering,
CVPR17(1359-1367)
IEEE DOI 1711
Cognition, Crowdsourcing, Image color analysis, Knowledge discovery, Motion pictures, Visualization BibRef

Yu, T., Yu, J., Yu, Z., Tao, D.,
Compositional Attention Networks With Two-Stream Fusion for Video Question Answering,
IP(29), No. , 2020, pp. 1204-1218.
IEEE DOI 1911
Visualization, Streaming media, Knowledge discovery, Feature extraction, Proposals, Task analysis, Semantics, action pooling stream BibRef

Wang, W.N.[Wei-Ning], Huang, Y.[Yan], Wang, L.[Liang],
Long video question answering: A Matching-guided Attention Model,
PR(102), 2020, pp. 107248.
Elsevier DOI 2003
Long video QA, Matching-guided attention BibRef

Zhang, W., Tang, S., Cao, Y., Pu, S., Wu, F., Zhuang, Y.,
Frame Augmented Alternating Attention Network for Video Question Answering,
MultMed(22), No. 4, April 2020, pp. 1032-1041.
IEEE DOI 2004
Feature extraction, Visualization, Knowledge discovery, Task analysis, Data mining, Neural networks, Semantics, Video QA, neural network BibRef

Chen, J.[Jie], Shao, J.[Jie], He, C.[Chengkun],
Movie fill in the blank by joint learning from video and text with adaptive temporal attention,
PRL(132), 2020, pp. 62-68.
Elsevier DOI 2005
Video question answering, Adaptive temporal attention, Text information fusion BibRef

Wang, A., Luu, A.T., Foo, C., Zhu, H., Tay, Y., Chandrasekhar, V.,
Holistic Multi-Modal Memory Network for Movie Question Answering,
IP(29), No. 1, 2020, pp. 489-499.
IEEE DOI 1910
question answering (information retrieval), holistic multimodal memory network, multimodal context, MovieQA BibRef

Yuan, Z.Q.[Zhao-Quan], Sun, S.Y.[Si-Yuan], Duan, L.X.[Li-Xin], Li, C.S.[Chang-Sheng], Wu, X.[Xiao], Xu, C.S.[Chang-Sheng],
Adversarial Multimodal Network for Movie Story Question Answering,
MultMed(23), 2021, pp. 1744-1756.
IEEE DOI 2106
Knowledge discovery, Motion pictures, Visualization, Task analysis, Generators, Natural languages, multimodal understanding BibRef

Gu, M., Zhao, Z., Jin, W., Hong, R., Wu, F.,
Graph-Based Multi-Interaction Network for Video Question Answering,
IP(30), 2021, pp. 2758-2770.
IEEE DOI 2102
Visualization, Knowledge discovery, Cats, Semantics, Task analysis, Image segmentation, Adaptation models, Video question answering, graph-based relation-aware neural network BibRef

Xie, Z.[Zhao], Wu, K.W.[Ke-Wei], Zhang, X.Y.[Xiao-Yu], Yang, X.M.[Xing-Ming], Hou, J.K.[Jin-Kui],
Learning continuous temporal embedding of videos using pattern theory,
PRL(146), 2021, pp. 222-229.
Elsevier DOI 2105
Action Recognition, Continuous Temporal Embedding, Pattern Theory, CNN, LSTM BibRef

Liu, Y.[Yun], Zhang, X.M.[Xiao-Ming], Zhang, Q.Y.[Qian-Yun], Li, C.Z.[Chao-Zhuo], Huang, F.[Feiran], Tang, X.H.[Xiang-Hong], Li, Z.J.[Zhou-Jun],
Dual self-attention with co-attention networks for visual question answering,
PR(117), 2021, pp. 107956.
Elsevier DOI 2106
Self-attention, Visual-textual co-attention, Visual question answering BibRef

Liu, Y.[Yun], Zhang, X.M.[Xiao-Ming], Huang, F.[Feiran], Shen, S.X.[Shi-Xun], Tian, P.[Peng], Li, L.[Lang], Li, Z.J.[Zhou-Jun],
Dynamic Self-Attention with Vision Synchronization Networks for Video Question Answering,
PR(132), 2022, pp. 108959.
Elsevier DOI 2209
Video question answering, Dynamic self-attention, Vision synchronization BibRef

Liu, Y.[Yun], Zhang, X.M.[Xiao-Ming], Huang, F.[Feiran], Zhang, B.[Bo], Li, Z.J.[Zhou-Jun],
Cross-Attentional Spatio-Temporal Semantic Graph Networks for Video Question Answering,
IP(31), 2022, pp. 1684-1696.
IEEE DOI 2202
Semantics, Correlation, Cognition, Visualization, Knowledge discovery, Task analysis, Head, Video question answering, inter- and intra-modality correlations BibRef

Jin, W.[Weike], Zhao, Z.[Zhou], Cao, X.C.[Xiao-Chun], Zhu, J.M.[Jie-Ming], He, X.Q.[Xiu-Qiang], Zhuang, Y.T.[Yue-Ting],
Adaptive Spatio-Temporal Graph Enhanced Vision-Language Representation for Video QA,
IP(30), 2021, pp. 5477-5489.
IEEE DOI 2106
Visualization, Task analysis, Adaptation models, Bit error rate, Knowledge discovery, Cognition, Training, video question answering BibRef

Gao, L.[Lianli], Chen, T.M.[Tang-Ming], Li, X.P.[Xiang-Peng], Zeng, P.P.[Peng-Peng], Zhao, L.[Lei], Li, Y.F.[Yuan-Fang],
Generalized pyramid co-attention with learnable aggregation net for video question answering,
PR(120), 2021, pp. 108145.
Elsevier DOI 2109
Video question answering, Diversity learning, Learnable aggregation, Cascaded pyramid transformer co-attention BibRef

Le, T.M.[Thao Minh], Le, V.[Vuong], Venkatesh, S.[Svetha], Tran, T.[Truyen],
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering,
IJCV(129), No. 11, November 2021, pp. 3027-3050.
Springer DOI 2110
BibRef
Earlier:
Hierarchical Conditional Relation Networks for Video Question Answering,
CVPR20(9969-9978)
IEEE DOI 2008
Linguistics, Cognition, Visualization, Context modeling, Encoding, Buildings BibRef

Su, H.T.[Hung-Ting], Chang, C.H.[Chen-Hsi], Shen, P.W.[Po-Wei], Wang, Y.S.[Yu-Siang], Chang, Y.L.[Ya-Liang], Chang, Y.C.[Yu-Cheng], Cheng, P.J.[Pu-Jen], Hsu, W.H.[Winston H.],
End-to-End Video Question-Answer Generation With Generator-Pretester Network,
CirSysVideo(31), No. 11, November 2021, pp. 4497-4507.
IEEE DOI 2112
Training, Task analysis, Knowledge discovery, Proposals, Streaming media, Generators, Data models, Video question answering, pretester network BibRef

Gao, L.L.[Lian-Li], Lei, Y.[Yu], Zeng, P.P.[Peng-Peng], Song, J.K.[Jing-Kuan], Wang, M.[Meng], Shen, H.T.[Heng Tao],
Hierarchical Representation Network With Auxiliary Tasks for Video Captioning and Video Question Answering,
IP(31), 2022, pp. 202-215.
IEEE DOI 2112
Task analysis, Visualization, Semantics, Knowledge discovery, Artificial neural networks, Syntactics, Decoding, Video captioning, auxiliary task BibRef

Zhang, J.P.[Ji-Peng], Shao, J.[Jie], Cao, R.[Rui], Gao, L.L.[Lian-Li], Xu, X.[Xing], Shen, H.T.[Heng Tao],
Action-Centric Relation Transformer Network for Video Question Answering,
CirSysVideo(32), No. 1, January 2022, pp. 63-74.
IEEE DOI 2201
Feature extraction, Visualization, Cognition, Task analysis, Knowledge discovery, Proposals, Encoding, Video question answering, relation reasoning BibRef

Zhang, H.[Hao], Sun, A.[Aixin], Jing, W.[Wei], Zhen, L.L.[Liang-Li], Zhou, J.T.Y.[Joey Tian-Yi], Goh, R.S.M.[Rick Siow Mong],
Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework,
PAMI(44), No. 8, August 2022, pp. 4252-4266.
IEEE DOI 2207
Location awareness, Knowledge discovery, Task analysis, Standards, Feature extraction, Degradation, Semantics, cross-modal interaction BibRef

Wang, J.Y.[Jian-Yu], Bao, B.K.[Bing-Kun], Xu, C.S.[Chang-Sheng],
DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question Answering,
MultMed(24), 2022, pp. 3369-3380.
IEEE DOI 2207
Cognition, Visualization, Task analysis, Knowledge discovery, Feature extraction, Fuses, Dogs, Video question answering, multi-modal BibRef

Zeng, P.P.[Peng-Peng], Zhang, H.N.[Hao-Nan], Gao, L.[Lianli], Song, J.K.[Jing-Kuan], Shen, H.T.[Heng Tao],
Video Question Answering With Prior Knowledge and Object-Sensitive Learning,
IP(31), 2022, pp. 5936-5948.
IEEE DOI 2209
Cognition, Visualization, Task analysis, Question answering (information retrieval), Semantics, Ice, object learning BibRef

Gan, Z.[Zhe], Li, L.J.[Lin-Jie], Li, C.Y.[Chun-Yuan], Wang, L.J.[Li-Juan], Liu, Z.C.[Zi-Cheng], Gao, J.F.[Jian-Feng],
Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends,
FTCGV(14), No. 3-4, 2022, pp. 163-352.
DOI Link Video analysis and event recognition, Learning and statistical methods, Object and scene recognition, Image and video retrieval BibRef 2200

Zhang, F.[Fuwei], Wang, R.M.[Ruo-Mei], Zhou, F.[Fan], Luo, Y.M.[Yuan-Mao],
ERM: Energy-Based Refined-Attention Mechanism for Video Question Answering,
CirSysVideo(33), No. 3, March 2023, pp. 1454-1467.
IEEE DOI 2303
Spatiotemporal phenomena, Visualization, Object oriented modeling, Transformers, Task analysis, Neurons, pseudo-related information BibRef

Yang, J.[Jonghyeon], Jang, H.[Hanme], Yu, K.[Kiyun],
Analyzing Geographic Questions Using Embedding-based Topic Modeling,
IJGI(12), No. 2, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Zhao, S.W.[Sheng-Wei], Liu, Y.Y.[Yu-Ying], Du, S.[Shaoyi], Tian, Z.Q.[Zhi-Qiang], Qu, T.[Ting], Xu, L.H.[Lin-Hai],
CMFG: Cross-model Fine-grained Feature Interaction for Text-video Retrieval,
MMMod23(II: 435-445).
Springer DOI 2304
BibRef

Luo, H.N.[Hao-Nan], Lin, G.S.[Guo-Sheng], Yao, Y.Z.[Ya-Zhou], Liu, F.Y.[Fa-Yao], Liu, Z.C.[Zi-Chuan], Tang, Z.M.[Zhen-Min],
Depth and Video Segmentation Based Visual Attention for Embodied Question Answering,
PAMI(45), No. 6, June 2023, pp. 6807-6819.
IEEE DOI 2305
BibRef
Earlier: A1, A2, A5, A4, A6, A3:
SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering,
ICCV19(9666-9675)
IEEE DOI 2004
Visualization, Semantics, Navigation, Task analysis, Image segmentation, Knowledge discovery, Feature extraction, navigation. feature extraction, image fusion, question answering (information retrieval), feature fusion BibRef

Zhang, X.[Xi], Zhang, F.F.[Fei-Fei], Xu, C.S.[Chang-Sheng],
Reducing Vision-Answer Biases for Multiple-Choice VQA,
IP(32), 2023, pp. 4621-4634.
IEEE DOI 2309
BibRef

Xiao, J.B.[Jun-Bin], Zhou, P.[Pan], Yao, A.[Angela], Li, Y.C.[Yi-Cong], Hong, R.C.[Ri-Chang], Yan, S.C.[Shui-Cheng], Chua, T.S.[Tat-Seng],
Contrastive Video Question Answering via Video Graph Transformer,
PAMI(45), No. 11, November 2023, pp. 13265-13280.
IEEE DOI 2310
BibRef
Earlier: A1, A2, A7, A6, Only:
Video Graph Transformer for Video Question Answering,
ECCV22(XXXVI:39-58).
Springer DOI 2211
BibRef

Shen, W.X.[Wen-Xue], Song, J.K.[Jing-Kuan], Zhu, X.S.[Xiao-Su], Li, G.F.[Gong-Fu], Shen, H.T.[Heng Tao],
End-to-End Pre-Training With Hierarchical Matching and Momentum Contrast for Text-Video Retrieval,
IP(32), 2023, pp. 5017-5030.
IEEE DOI Code:
WWW Link. 2310
BibRef

Jiang, J.J.[Jing-Jing], Liu, Z.[Ziyi], Zheng, N.N.[Nan-Ning],
LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering,
MultMed(25), 2023, pp. 5002-5013.
IEEE DOI 2311
BibRef

Xu, F.F.[Fei-Fei], Zhu, Y.[Yitao], Wang, C.[Chun], Cao, Y.Z.[Yang-Ze], Zhong, Z.[Zheng], Li, X.M.[Xiong-Min],
Spatio-Temporal Two-stage Fusion for video question answering,
CVIU(237), 2023, pp. 103821.
Elsevier DOI 2311
Video question answering, Vision transformer, Spatio-temporal two-stage fusion BibRef

Wang, Y.Y.[Yuan-Yuan], Liu, M.[Meng], Wu, J.L.[Jian-Long], Nie, L.Q.[Li-Qiang],
Multi-Granularity Interaction and Integration Network for Video Question Answering,
CirSysVideo(33), No. 12, December 2023, pp. 7684-7695.
IEEE DOI 2312
BibRef

Bai, Z.[Ziyi], Wang, R.P.[Rui-Ping], Gao, D.F.[Di-Fei], Chen, X.L.[Xi-Lin],
Event Graph Guided Compositional Spatial-Temporal Reasoning for Video Question Answering,
IP(33), 2024, pp. 1109-1121.
IEEE DOI Code:
WWW Link. 2402
Visualization, Cognition, Transformers, Semantics, Feature extraction, Context modeling, Task analysis, VideoQA, compositional reasoning BibRef

Qian, T.W.[Tian-Wen], Cui, R.[Ran], Chen, J.J.[Jing-Jing], Peng, P.[Pai], Guo, X.W.[Xiao-Wei], Jiang, Y.G.[Yu-Gang],
Locate Before Answering: Answer Guided Question Localization for Video Question Answering,
MultMed(26), 2024, pp. 4554-4563.
IEEE DOI 2403
Location awareness, Proposals, Feature extraction, Question answering (information retrieval), Annotations, cross-modal learning BibRef

Cheng, Y.[Yi], Fan, H.[Hehe], Lin, D.Y.[Dong-Yun], Sun, Y.[Ying], Kankanhalli, M.[Mohan], Lim, J.H.[Joo-Hwee],
Keyword-Aware Relative Spatio-Temporal Graph Networks for Video Question Answering,
MultMed(26), 2024, pp. 6131-6141.
IEEE DOI 2404
Cognition, Dogs, Feature extraction, Visualization, Semantics, Question answering (information retrieval), Task analysis, spatial-temporal graph BibRef

Jiang, Y.M.[Yi-Min], Yan, T.[Tingfei], Yao, M.Z.[Ming-Ze], Wang, H.[Huibing], Liu, W.Z.[Wen-Zhe],
Cascade transformers with dynamic attention for video question answering,
CVIU(242), 2024, pp. 103983.
Elsevier DOI 2404
Video question answering, Cascade transformers, Dynamic attention BibRef

Yu, T.[Ting], Fu, K.[Kunhao], Zhang, J.[Jian], Huang, Q.M.[Qing-Ming], Yu, J.[Jun],
Multi-Granularity Contrastive Cross-Modal Collaborative Generation for End-to-End Long-Term Video Question Answering,
IP(33), 2024, pp. 3115-3129.
IEEE DOI 2405
Task analysis, Semantics, Object oriented modeling, Collaboration, Cognition, Visualization, Self-supervised learning, end-to-end modeling BibRef

Liu, J.[Jin], Wang, G.X.[Guo-Xiang], Xie, J.L.[Jia-Long], Zhou, F.Y.[Feng-Yu], Xu, H.J.[Hui-Juan],
Video Question Answering with Semantic Disentanglement and Reasoning,
CirSysVideo(34), No. 5, May 2024, pp. 3663-3673.
IEEE DOI 2405
Semantics, Visualization, Question answering (information retrieval), Task analysis, multi-granularity language module BibRef

Nie, J.[Jie], Wang, X.[Xin], Hou, R.[Runze], Li, G.H.[Guo-Hao], Chen, H.[Hong], Zhu, W.W.[Wen-Wu],
Dynamic Spatio-Temporal Graph Reasoning for VideoQA With Self-Supervised Event Recognition,
IP(33), 2024, pp. 4145-4158.
IEEE DOI 2407
Videos, Visualization, Cognition, Task analysis, Semantics, Question answering (information retrieval), Feature extraction, spatio-temporal graph BibRef

Lee, S.[Sangmin], Kim, H.I.[Hyung-Il], Ro, Y.M.[Yong Man],
Text-guided distillation learning to diversify video embeddings for text-video retrieval,
PR(156), 2024, pp. 110754.
Elsevier DOI 2408
text-video retrieval, One-to-many correspondence, Diverse video embedding, Text-guided distillation learning, Text-agnostic BibRef

Fei, H.[Hao], Wu, S.Q.[Sheng-Qiong], Zhang, M.[Meishan], Zhang, M.[Min], Chua, T.S.[Tat-Seng], Yan, S.C.[Shui-Cheng],
Enhancing Video-Language Representations With Structural Spatio-Temporal Alignment,
PAMI(46), No. 12, December 2024, pp. 7701-7719.
IEEE DOI 2411
Videos, Semantics, Transformers, Task analysis, Dynamics, Data models, Training, Scene graphs, spatio-temporal grounding, video-language understanding BibRef


Xiao, J.B.[Jun-Bin], Yao, A.[Angela], Li, Y.C.[Yi-Cong], Chua, T.S.[Tat-Seng],
Can I Trust Your Answer? Visually Grounded Video Question Answering,
CVPR24(13204-13214)
IEEE DOI Code:
WWW Link. 2410
Visualization, Correlation, Grounding, Predictive models, Question answering (information retrieval), Trustworthy VQA BibRef

Min, J.[Juhong], Buch, S.[Shyamal], Nagrani, A.[Arsha], Cho, M.[Minsu], Schmid, C.[Cordelia],
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering,
CVPR24(13235-13245)
IEEE DOI 2410
Visualization, Grounding, Pipelines, Benchmark testing, Question answering (information retrieval), Cognition, captioning BibRef

Zou, B.[Bo], Yang, C.[Chao], Qiao, Y.[Yu], Quan, C.B.[Cheng-Bin], Zhao, Y.J.[You-Jian],
Language-aware Visual Semantic Distillation for Video Question Answering,
CVPR24(27103-27113)
IEEE DOI 2410
Visualization, Computational modeling, Semantics, Benchmark testing, Question answering (information retrieval), Question-Answering BibRef

Liang, T.M.[Tian-Ming], Tan, C.[Chaolei], Xia, B.[Beihao], Zheng, W.S.[Wei-Shi], Hu, J.F.[Jian-Fang],
Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels,
CVPR24(13161-13170)
IEEE DOI 2410
Adaptation models, Visualization, Annotations, Resists, Manuals, Benchmark testing, Question answering (information retrieval), Video-QA BibRef

Wu, J.M.[Jin-Meng], Shu, P.C.[Peng-Cheng], Hong, H.Y.[Han-Yu], Ma, L.[Lei], Zhu, Y.[Ying], Wang, L.[Lei],
Pre-trained Bidirectional Dynamic Memory Network For Long Video Question Answering,
Crowded24(5550-5557)
IEEE DOI 2410
Visualization, Computational modeling, Video sequences, Semantics, Stars, Feature extraction, Motion pictures, Memory network, Multi-event reasoning BibRef

Inoue, Y.[Yuichi], Yada, Y.[Yuki], Tanahashi, K.[Kotaro], Yamaguchi, Y.[Yu],
NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup Annotations,
LLVMCrive24(930-938)
IEEE DOI Code:
WWW Link. 2404
Visualization, Annotations, Computational modeling, Focusing, Question answering (information retrieval) BibRef

Park, S.Y.[Sung-Yeon], Lee, M.J.[Min-Jae], Kang, J.H.[Ji-Hyuk], Choi, H.[Hahyeon], Park, Y.[Yoonah], Cho, J.[Juhwan], Lee, A.[Adam], Kim, D.K.[Dong-Kyu],
VLAAD: Vision and Language Assistant for Autonomous Driving,
LLVMCrive24(980-987)
IEEE DOI Code:
WWW Link. 2404
Visualization, Refining, Natural languages, Decision making, Oral communication, Data models, Task analysis BibRef

Fang, J.Z.Y.[Jacob Zhi-Yuan], Zheng, S.[Skyler], Sharma, V.[Vasu], Piramuthu, R.[Robinson],
epislon-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer,
Pretrain24(529-540)
IEEE DOI 2404
Visualization, Computational modeling, Architecture, Semantics, Buildings, Focusing, Question answering (information retrieval) BibRef

Zonneveld, A.[Anne], Gatt, A.[Albert], Calixto, I.[Iacer],
Video-and-Language (VidL) models and their cognitive relevance,
MMFM23(325-338)
IEEE DOI 2401
BibRef

Momeni, L.[Liliane], Caron, M.[Mathilde], Nagrani, A.[Arsha], Zisserman, A.[Andrew], Schmid, C.[Cordelia],
Verbs in Action: Improving verb understanding in video-language models,
ICCV23(15533-15545)
IEEE DOI 2401
BibRef

Jin, P.[Peng], Li, H.[Hao], Cheng, Z.[Zesen], Li, K.[Kehan], Ji, X.Y.[Xiang-Yang], Liu, C.[Chang], Yuan, L.[Li], Chen, J.[Jie],
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model,
ICCV23(2470-2481)
IEEE DOI Code:
WWW Link. 2401
BibRef

Li, P.D.[Pan-Deng], Xie, C.W.[Chen-Wei], Zhao, L.M.[Li-Ming], Xie, H.T.[Hong-Tao], Ge, J.N.[Jian-Nan], Zheng, Y.[Yun], Zhao, D.L.[De-Li], Zhang, Y.D.[Yong-Dong],
Progressive Spatio-Temporal Prototype Matching for Text-Video Retrieval,
ICCV23(4077-4087)
IEEE DOI 2401
BibRef

Guan, P.Y.[Pei-Yan], Pei, R.J.[Ren-Jing], Shao, B.[Bin], Liu, J.Z.[Jian-Zhuang], Li, W.[Weimian], Gu, J.X.[Jia-Xi], Xu, H.[Hang], Xu, S.C.[Song-Cen], Yan, Y.[Youliang], Lam, E.Y.[Edmund Y.],
PIDRo: Parallel Isomeric Attention with Dynamic Routing for Text-Video Retrieval,
ICCV23(11130-11139)
IEEE DOI 2401
BibRef

Deng, C.R.[Chao-Rui], Chen, Q.[Qi], Qin, P.[Pengda], Chen, D.[Da], Wu, Q.[Qi],
Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval,
ICCV23(15602-15612)
IEEE DOI 2401
BibRef

Pirhadi, M.J.[Mohammad Javad], Mirzaei, M.[Motahhare], Eetemadi, S.[Sauleh],
Just Ask Plus: Using Transcripts for VideoQA,
ASI23(3074-3077)
IEEE DOI 2401
BibRef

Ahmad, M.[Mobeen], Park, G.[Geonwoo], Park, D.[Dongchan], Park, S.[Sanguk],
MMTF: Multi-Modal Temporal Fusion for Commonsense Video Question Answering,
VLAR23(4659-4664)
IEEE DOI 2401
BibRef

Engin, D.[Deniz], Avrithis, Y.[Yannis],
Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts,
CLVL23(2797-2802)
IEEE DOI Code:
WWW Link. 2401
BibRef

Nuthalapati, S.V.[Sai Vidyaranya], Tunga, A.[Anirudh],
Coarse to Fine Frame Selection for Online Open-ended Video Question Answering,
MMFM23(353-361)
IEEE DOI 2401
BibRef

Li, Y.C.[Yi-Cong], Xiao, J.B.[Jun-Bin], Feng, C.[Chun], Wang, X.[Xiang], Chua, T.S.[Tat-Seng],
Discovering Spatio-Temporal Rationales for Video Question Answering,
ICCV23(13823-13832)
IEEE DOI Code:
WWW Link. 2401
BibRef

Ko, D.[Dohwan], Lee, J.S.[Ji Soo], Choi, M.[Miso], Chu, J.W.[Jae-Won], Park, J.[Jihwan], Kim, H.W.J.[Hyun-Woo J.],
Open-Vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models,
ICCV23(3078-3089)
IEEE DOI Code:
WWW Link. 2401
BibRef

Li, J.[Jiangtong], Niu, L.[Li], Zhang, L.Q.[Li-Qing],
Knowledge Proxy Intervention for Deconfounded Video Question Answering,
ICCV23(2770-2781)
IEEE DOI 2401
BibRef

Chen, G.Y.[Guang-Yi], Liu, X.[Xiao], Wang, G.[Guangrun], Zhang, K.[Kun], Torr, P.H.S.[Philip H.S.], Zhang, X.P.[Xiao-Ping], Tang, Y.S.[Yan-Song],
Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer,
ICCV23(13899-13909)
IEEE DOI 2401
BibRef

Jahagirdar, S.[Soumya], Mathew, M.[Minesh], Karatzas, D.[Dimosthenis], Jawahar, C.V.,
Understanding Video Scenes through Text: Insights from Text-based Video Question Answering,
VLAR23(4648-4652)
IEEE DOI 2401
BibRef

Peng, M.[Min], Liu, L.C.[Liang-Chen], Li, Z.H.[Zheng-Hao], Shi, Y.[Yu], Zhou, X.D.[Xiang-Dong],
Multi-Semantic Alignment Co-Reasoning Network for Video Question Answering,
ICIP23(2090-2094)
IEEE DOI 2312
BibRef

Ye, S.H.[Shu-Hong], Kong, W.[Weikai], Yao, C.[Chenglin], Ren, J.F.[Jian-Feng], Jiang, X.D.[Xu-Dong],
Video Question Answering Using Clip-Guided Visual-Text Attention,
ICIP23(81-85)
IEEE DOI 2312
BibRef

Khan, Z.[Zaid], Kumar, B.V.[BG Vijay], Schulter, S.[Samuel], Yu, X.[Xiang], Fu, Y.[Yun], Chandraker, M.[Manmohan],
Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!,
CVPR23(15005-15015)
IEEE DOI 2309
BibRef

Su, H.T.[Hung-Ting], Niu, Y.[Yulei], Lin, X.D.[Xu-Dong], Hsu, W.H.[Winston H.], Chang, S.F.[Shih-Fu],
Language Models are Causal Knowledge Extractors for Zero-shot Video Question Answering,
L3D-IVU23(4951-4960)
IEEE DOI 2309
BibRef

Zang, C.Q.[Chuan-Qi], Wang, H.Q.[Han-Qing], Pei, M.T.[Ming-Tao], Liang, W.[Wei],
Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering,
CVPR23(19027-19036)
IEEE DOI 2309
BibRef

Gao, D.F.[Di-Fei], Zhou, L.[Luowei], Ji, L.[Lei], Zhu, L.C.[Lin-Chao], Yang, Y.[Yi], Shou, M.Z.[Mike Zheng],
MIST: Multi-modal Iterative Spatial-Temporal Transformer for Long-form Video Question Answering,
CVPR23(14773-14783)
IEEE DOI 2309
BibRef

Khan, A.U.[Aisha Urooj], Kuehne, H.[Hilde], Wu, B.[Bo], Chheu, K.[Kim], Bousselham, W.[Walid], Gan, C.[Chuang], Lobo, N.[Niels], Shah, M.[Mubarak],
Learning Situation Hyper-Graphs for Video Question Answering,
CVPR23(14879-14889)
IEEE DOI 2309
BibRef

Jahagirdar, S.[Soumya], Mathew, M.[Minesh], Karatzas, D.[Dimosthenis], Jawahar, C.V.,
Watching the News: Towards VideoQA Models that can Read,
WACV23(4430-4439)
IEEE DOI 2302
Visualization, Computational modeling, Optical character recognition, Arts/games/social media BibRef

Zhang, M.[Mingda], Hwa, R.[Rebecca], Kovashka, A.[Adriana],
How to Practice VQA on a Resource-limited Target Domain,
WACV23(4440-4449)
IEEE DOI 2302
Visualization, Adaptation models, Sensitivity, Computational modeling, Transfer learning, visual reasoning BibRef

Lee, J.[Jihyeon], Kang, W.[Wooyoung], Kim, E.S.[Eun-Sol],
Dense but Efficient VideoQA for Intricate Compositional Reasoning,
WACV23(1114-1123)
IEEE DOI 2302
Representation learning, Deformable models, Visualization, Computational modeling, Semantics, Transformers, Vision + language and/or other modalities BibRef

Shen, R.[Ruoyue], Inoue, N.[Nakamasa], Shinoda, K.[Koichi],
Text-Guided Object Detector for Multi-modal Video Question Answering,
WACV23(1032-1042)
IEEE DOI 2302
Training, Measurement, Visualization, Annotations, Semantics, Detectors, Object detection, Vision + language and/or other modalities BibRef

Fang, S.[Sheng], Wang, S.H.[Shu-Hui], Zhuo, J.[Junbao], Han, X.Z.[Xin-Zhe], Huang, Q.M.[Qing-Ming],
Learning Linguistic Association Towards Efficient Text-Video Retrieval,
ECCV22(XXXVI:254-270).
Springer DOI 2211
BibRef

Piergiovanni, A.J., Morton, K.[Kairo], Kuo, W.C.[Wei-Cheng], Ryoo, M.S.[Michael S.], Angelova, A.[Anelia],
Video Question Answering with Iterative Video-Text Co-tokenization,
ECCV22(XXXVI:76-94).
Springer DOI 2211
BibRef

Bärmann, L.[Leonard], Waibel, A.[Alex],
Where did I leave my keys?: Episodic-Memory-Based Question Answering on Egocentric Videos,
Ego4D-EPIC22(1559-1567)
IEEE DOI 2210
Limiting, Codes, Computational modeling, Memory management, Question answering (information retrieval) BibRef

Li, J.T.[Jiang-Tong], Niu, L.[Li], Zhang, L.Q.[Li-Qing],
From Representation to Reasoning: Towards both Evidence and Commonsense Reasoning for Video Question-Answering,
CVPR22(21241-21250)
IEEE DOI 2210
Representation learning, Visualization, Grounding, Benchmark testing, Distance measurement, Visual reasoning BibRef

Datta, S.[Samyak], Dharur, S.[Sameer], Cartillier, V.[Vincent], Desai, R.[Ruta], Khanna, M.[Mukul], Batra, D.[Dhruv], Parikh, D.[Devi],
Episodic Memory Question Answering,
CVPR22(19097-19106)
IEEE DOI 2210
Visualization, Semantics, Memory management, Video sequences, Question answering (information retrieval), Robustness, Vision + language BibRef

Gandhi, M.[Mona], Gul, M.O.[Mustafa Omer], Prakash, E.[Eva], Grunde-McLaughlin, M.[Madeleine], Krishna, R.[Ranjay], Agrawala, M.[Maneesh],
Measuring Compositional Consistency for Video Question Answering,
CVPR22(5036-5045)
IEEE DOI 2210
Measurement, Visualization, Directed acyclic graph, Image analysis, Benchmark testing, Cognition, Vision + language, Visual reasoning BibRef

Gorti, S.K.[Satya Krishna], Vouitsis, N.[Noël], Ma, J.W.[Jun-Wei], Golestan, K.[Keyvan], Volkovs, M.[Maksims], Garg, A.[Animesh], Yu, G.[Guangwei],
X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval,
CVPR22(4996-5005)
IEEE DOI 2210
Visualization, Codes, Computational modeling, Benchmark testing, Question answering (information retrieval), Cognition, Video analysis and understanding BibRef

Li, J.C.[Jun-Cheng], Tang, S.L.[Si-Liang], Zhu, L.C.[Lin-Chao], Shi, H.[Haochen], Huang, X.[Xuanwen], Wu, F.[Fei], Yang, Y.[Yi], Zhuang, Y.T.[Yue-Ting],
Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference,
ICCV21(1847-1857)
IEEE DOI 2203
Visualization, Adaptation models, Adaptive systems, Semantics, Coherence, Linguistics, Vision + language, Vision + other modalities BibRef

Zhang, M.X.[Ming-Xing], Yang, Y.[Yang], Chen, X.[Xinghan], Ji, Y.L.[Yan-Li], Xu, X.[Xing], Li, J.J.[Jing-Jing], Shen, H.T.[Heng Tao],
Multi-stage Aggregated Transformer Network for Temporal Language Localization in Videos,
CVPR21(12664-12673)
IEEE DOI 2111
Location awareness, Visualization, Computational modeling, Scalability, Transformers BibRef

Kim, N.[Nayoung], Ha, S.J.[Seong Jong], Kang, J.W.[Je-Won],
Video Question Answering Using Language-Guided Deep Compressed-Domain Video Feature,
ICCV21(1688-1697)
IEEE DOI 2203
Deep learning, Training, Visualization, Computational modeling, Neural networks, Video compression, Feature extraction, Vision + other modalities BibRef

Liu, F.[Fei], Liu, J.[Jing], Wang, W.N.[Wei-Ning], Lu, H.Q.[Han-Qing],
HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering,
ICCV21(1678-1687)
IEEE DOI 2203
Hair, Heart, Visualization, Semantics, Benchmark testing, Cognition, Vision + language, BibRef

Yang, A.[Antoine], Miech, A.[Antoine], Sivic, J.[Josef], Laptev, I.[Ivan], Schmid, C.[Cordelia],
Just Ask: Learning to Answer Questions from Millions of Narrated Videos,
ICCV21(1666-1677)
IEEE DOI 2203
Training, Visualization, Vocabulary, Annotations, Scalability, Manuals, Transformers, Vision + language, BibRef

Gao, D.F.[Di-Fei], Wang, R.P.[Rui-Ping], Bai, Z.[Ziyi], Chen, X.L.[Xi-Lin],
Env-QA: A Video Question Answering Benchmark for Comprehensive Understanding of Dynamic Environments,
ICCV21(1655-1665)
IEEE DOI 2203
Visualization, Layout, Feature extraction, Transformers, Cognition, Data mining, Vision + language, Video analysis and understanding, Visual reasoning and logical representation BibRef

Yun, H.[Heeseung], Yu, Y.[Youngjae], Yang, W.[Wonsuk], Lee, K.[Kangil], Kim, G.[Gunhee],
Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos,
ICCV21(2011-2021)
IEEE DOI 2203
Training, Navigation, Grounding, Semantics, Benchmark testing, Transformers, Vision + language, Vision + other modalities BibRef

Xu, L.[Li], Huang, H.[He], Liu, J.[Jun],
SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events,
CVPR21(9873-9883)
IEEE DOI 2111
Transportation, Benchmark testing, Knowledge discovery, Cognition, Computational efficiency, Reliability BibRef

Park, J.[Jungin], Lee, J.Y.[Ji-Young], Sohn, K.H.[Kwang-Hoon],
Bridge to Answer: Structure-aware Graph Interaction Network for Video Question Answering,
CVPR21(15521-15530)
IEEE DOI 2111
Bridges, Visualization, Computational modeling, Message passing, Semantics, Benchmark testing, Linguistics BibRef

Chen, X.W.[Xuan-Wei], Liu, R.[Rui], Song, X.M.[Xiao-Meng], Han, Y.H.[Ya-Hong],
Locating Visual Explanations for Video Question Answering,
MMMod21(I:290-302).
Springer DOI 2106
BibRef

Garcia, N.[Noa], Nakashima, Y.[Yuta],
Knowledge-based Video Question Answering with Unsupervised Scene Descriptions,
ECCV20(XVIII:581-598).
Springer DOI 2012
BibRef

Kim, J., Ma, M., Pham, T., Kim, K., Yoo, C.D.,
Modality Shifting Attention Network for Multi-Modal Video Question Answering,
CVPR20(10103-10112)
IEEE DOI 2008
Cognition, Visualization, Task analysis, Knowledge discovery, Proposals, Modulation, Context modeling BibRef

Jiang, M., Chen, S., Yang, J., Zhao, Q.,
Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention,
CVPR20(2977-2986)
IEEE DOI 2008
Task analysis, Videos, Visualization, Computational modeling, Head, Resists BibRef

Yang, Z., Garcia, N., Chu, C., Otani, M., Nakashima, Y., Takemura, H.,
BERT Representations for Video Question Answering,
WACV20(1545-1554)
IEEE DOI 2006
Visualization, Bit error rate, Feature extraction, Knowledge discovery, Task analysis, Semantics, Standards BibRef

Fan, C.Y.[Chen-You], Zhang, X.F.[Xiao-Fan], Zhang, S.[Shu], Wang, W.S.[Wen-Sheng], Zhang, C.[Chi], Huang, H.[Heng],
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering,
CVPR19(1999-2007).
IEEE DOI 2002
BibRef

Kim, J.Y.[Jun-Yeong], Ma, M.[Minuk], Kim, K.[Kyungsu], Kim, S.[Sungjin], Yoo, C.D.[Chang D.],
Progressive Attention Memory Network for Movie Story Question Answering,
CVPR19(8329-8338).
IEEE DOI 2002
BibRef

Liu, C.N.[Chao-Ning], Chen, D.J.[Ding-Jie], Chen, H.T.[Hwann-Tzong], Liu, T.L.[Tyng-Luh],
A2A: Attention to Attention Reasoning for Movie Question Answering,
ACCV18(VI:404-419).
Springer DOI 1906
BibRef

Gao, J., Ge, R., Chen, K., Nevatia, R.,
Motion-Appearance Co-memory Networks for Video Question Answering,
CVPR18(6576-6585)
IEEE DOI 1812
Knowledge discovery, Cognition, Task analysis, Dynamics, Memory modules, Micromechanical devices, Logic gates BibRef

Kim, K.M.[Kyung-Min], Choi, S.H.[Seong-Ho], Kim, J.H.[Jin-Hwa], Zhang, B.T.[Byoung-Tak],
Multimodal Dual Attention Memory for Video Story Question Answering,
ECCV18(XV: 698-713).
Springer DOI 1810
BibRef

Yu, Y.J.[Young-Jae], Kim, J.S.[Jong-Seok], Kim, G.[Gunhee],
A Joint Sequence Fusion Model for Video Question Answering and Retrieval,
ECCV18(VII: 487-503).
Springer DOI 1810
BibRef

Hasan Chowdhury, M.I., Nguyen, K., Sridharan, S., Fookes, C.,
Hierarchical Relational Attention for Video Question Answering,
ICIP18(599-603)
IEEE DOI 1809
Feature extraction, Knowledge discovery, Visualization, Task analysis, Mathematical model, Natural languages, scene understanding BibRef

Mun, J.[Jonghwan], Seo, P.H.[Paul Hongsuck], Jung, I.[Ilchae], Han, B.H.[Bo-Hyung],
MarioQA: Answering Questions by Watching Gameplay Videos,
ICCV17(2886-2894)
IEEE DOI 1802
computer games, inference mechanisms, neural nets, question answering (information retrieval), VideoQA problems, Visualization BibRef

Yu, Y., Ko, H., Choi, J., Kim, G.,
End-to-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering,
CVPR17(3261-3269)
IEEE DOI 1711
Detectors, Knowledge discovery, Motion pictures, Semantics, Training, Visualization BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Visual Question Answering, Datasets, Benchmarks, Surveys .


Last update:Nov 26, 2024 at 16:40:19