Liang, Y.X.[Yu-Xuan],
Zhou, P.[Pan],
Zimmermann, R.[Roger],
Yan, S.C.[Shui-Cheng],
DualFormer:
Local-Global Stratified Transformer for Efficient Video Recognition,
ECCV22(XXXIV:577-595).
Springer DOI
2211
WWW Link. Transformer architecture to address computational costs.
BibRef
Wang, J.[Junke],
Yang, X.T.[Xi-Tong],
Li, H.D.[Heng-Duo],
Liu, L.[Li],
Wu, Z.X.[Zu-Xuan],
Jiang, Y.G.[Yu-Gang],
Efficient Video Transformers with Spatial-Temporal Token Selection,
ECCV22(XXXV:69-86).
Springer DOI
2211
BibRef
Yuan, J.[Jing],
Barmpoutis, P.[Panagiotis],
Stathaki, T.[Tania],
Multi-Scale Deformable Transformer Encoder Based Single-Stage
Pedestrian Detection,
ICIP22(2906-2910)
IEEE DOI
2211
Head, Detectors, Prediction methods, Feature extraction,
Transformers, Video surveillance, Robustness, Pedestrian detection,
vision transformer
BibRef
Yun, H.[Heeseung],
Lee, S.[Sehun],
Kim, G.[Gunhee],
Panoramic Vision Transformer for Saliency Detection in 360° Videos,
ECCV22(XXXV:422-439).
Springer DOI
2211
BibRef
Sun, G.X.[Guan-Xiong],
Hua, Y.[Yang],
Hu, G.S.[Guo-Sheng],
Robertson, N.[Neil],
TDViT: Temporal Dilated Video Transformer for Dense Video Tasks,
ECCV22(XXXV:285-301).
Springer DOI
2211
BibRef
Wang, Y.H.[Yong-Hua],
Zhang, J.[Jingchi],
Li, Z.G.[Zhen-Gang],
Zeng, X.[Xing],
Zhang, Z.[Zhen],
Zhang, D.[Diankai],
Long, Y.[Yunlin],
Wang, N.[Ning],
Neural Network-based In-Loop Filter for CLIC 2022,
CLIC22(1773-1776)
IEEE DOI
2210
Deep learning, Video coding, Image coding, Convolution,
Rate-distortion, Network architecture, Video compression
BibRef
Chang, H.W.[Hui-Wen],
Zhang, H.[Han],
Jiang, L.[Lu],
Liu, C.[Ce],
Freeman, W.T.[William T.],
MaskGIT: Masked Generative Image Transformer,
CVPR22(11305-11315)
IEEE DOI
2210
Training, Visualization, Image synthesis, Computational modeling,
Transformers, Decoding, Image and video synthesis and generation,
Self- semi- meta- unsupervised learning
BibRef
Herzig, R.[Roei],
Ben-Avraham, E.[Elad],
Mangalam, K.[Karttikeya],
Bar, A.[Amir],
Chechik, G.[Gal],
Rohrbach, A.[Anna],
Darrell, T.J.[Trevor J.],
Globerson, A.[Amir],
Object-Region Video Transformers,
CVPR22(3138-3149)
IEEE DOI
2210
Visualization, Fuses, Computational modeling,
Transformers, Trajectory,
Action and event recognition
BibRef
Wang, R.[Rui],
Chen, D.D.[Dong-Dong],
Wu, Z.[Zuxuan],
Chen, Y.P.[Yin-Peng],
Dai, X.[Xiyang],
Liu, M.[Mengchen],
Jiang, Y.G.[Yu-Gang],
Zhou, L.[Luowei],
Yuan, L.[Lu],
BEVT: BERT Pretraining of Video Transformers,
CVPR22(14713-14723)
IEEE DOI
2210
Representation learning, Codes, Computational modeling,
Bit error rate, Transformers, Data models, Video analysis and understanding
BibRef
Wu, C.Y.[Chao-Yuan],
Li, Y.[Yanghao],
Mangalam, K.[Karttikeya],
Fan, H.Q.[Hao-Qi],
Xiong, B.[Bo],
Malik, J.[Jitendra],
Feichtenhofer, C.[Christoph],
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient
Long-Term Video Recognition,
CVPR22(13577-13587)
IEEE DOI
2210
Visualization, Costs, Codes, Computational modeling, Cache memory,
Action and event recognition, Video analysis and understanding
BibRef
Mangalam, K.[Karttikeya],
Fan, H.Q.[Hao-Qi],
Li, Y.[Yanghao],
Wu, C.Y.[Chao-Yuan],
Xiong, B.[Bo],
Feichtenhofer, C.[Christoph],
Malik, J.[Jitendra],
Reversible Vision Transformers,
CVPR22(10820-10830)
IEEE DOI
2210
Training, Adaptation models, Visualization, Computational modeling,
Memory management, Object detection, Transformers,
Video analysis and understanding
BibRef
Li, Y.[Yanghao],
Wu, C.Y.[Chao-Yuan],
Fan, H.Q.[Hao-Qi],
Mangalam, K.[Karttikeya],
Xiong, B.[Bo],
Malik, J.[Jitendra],
Feichtenhofer, C.[Christoph],
MViTv2: Improved Multiscale Vision Transformers for Classification
and Detection,
CVPR22(4794-4804)
IEEE DOI
2210
Representation learning, Visualization, Image segmentation,
Image recognition, Object detection,
Video analysis and understanding
BibRef
Ranasinghe, K.[Kanchana],
Naseer, M.[Muzammal],
Khan, S.[Salman],
Khan, F.S.[Fahad Shahbaz],
Ryoo, M.S.[Michael S.],
Self-supervised Video Transformer,
CVPR22(2864-2874)
IEEE DOI
2210
Training, Video sequences, Benchmark testing, Transformers, Encoding,
Spatiotemporal phenomena, Video analysis and understanding,
Self- semi- meta- unsupervised learning
BibRef
Yang, S.[Shusheng],
Wang, X.G.[Xing-Gang],
Li, Y.[Yu],
Fang, Y.X.[Yu-Xin],
Fang, J.[Jiemin],
Liu, W.Y.[Wen-Yu],
Zhao, X.[Xun],
Shan, Y.[Ying],
Temporally Efficient Vision Transformer for Video Instance
Segmentation,
CVPR22(2875-2885)
IEEE DOI
2210
Image segmentation, Visualization, Head, Shape, Transformers,
Spatiotemporal phenomena, Computational efficiency,
grouping and shape analysis
BibRef
Liu, Z.[Ze],
Ning, J.[Jia],
Cao, Y.[Yue],
Wei, Y.X.[Yi-Xuan],
Zhang, Z.[Zheng],
Lin, S.[Stephen],
Hu, H.[Han],
Video Swin Transformer,
CVPR22(3192-3201)
IEEE DOI
2210
Adaptation models, Image recognition, Computational modeling,
Benchmark testing, Transformers, Solids,
Recognition: detection
BibRef
Yan, S.[Shen],
Xiong, X.[Xuehan],
Arnab, A.[Anurag],
Lu, Z.C.[Zhi-Chao],
Zhang, M.[Mi],
Sun, C.[Chen],
Schmid, C.[Cordelia],
Multiview Transformers for Video Recognition,
CVPR22(3323-3333)
IEEE DOI
2210
Fuses, Computational modeling, Transformers,
Cognition, Spatiotemporal phenomena,
Action and event recognition
BibRef
Shao, R.Z.[Rui-Zhi],
Wu, G.[Gaochang],
Zhou, Y.M.[Yue-Mei],
Fu, Y.[Ying],
Fang, L.[Lu],
Liu, Y.B.[Ye-Bin],
LocalTrans: A Multiscale Local Transformer Network for
Cross-Resolution Homography Estimation,
ICCV21(14870-14879)
IEEE DOI
2203
Photography, Superresolution, Estimation, Transformers, Light fields,
Kernel, Image and video synthesis, Computational photography
BibRef
Rombach, R.[Robin],
Esser, P.[Patrick],
Ommer, B.[Björn],
Geometry-Free View Synthesis: Transformers and no 3D Priors,
ICCV21(14336-14346)
IEEE DOI
2203
Solid modeling, Visualization, Geometric modeling,
Transformers, Image and video synthesis,
Neural generative models
BibRef
Tan, J.[Jing],
Tang, J.Q.[Jia-Qi],
Wang, L.M.[Li-Min],
Wu, G.S.[Gang-Shan],
Relaxed Transformer Decoders for Direct Action Proposal Generation,
ICCV21(13506-13515)
IEEE DOI
2203
Visualization, Head, Pipelines, Estimation, Transformers, Decoding,
Action and behavior recognition,
Video analysis and understanding
BibRef
Liu, S.[Song],
Fan, H.Q.[Hao-Qi],
Qian, S.S.[Sheng-Sheng],
Chen, Y.[Yiru],
Ding, W.[Wenkui],
Wang, Z.Y.[Zhong-Yuan],
HiT: Hierarchical Transformer with Momentum Contrast for Video-Text
Retrieval,
ICCV21(11895-11905)
IEEE DOI
2203
Training, Memory management, Streaming media, Performance gain,
Benchmark testing, Transformers, Image and video retrieval,
Vision + other modalities
BibRef
Truong, T.D.[Thanh-Dat],
Duong, C.N.[Chi Nhan],
Vu, T.D.[The De],
Pham, H.A.[Hoang Anh],
Raj, B.[Bhiksha],
Le, N.[Ngan],
Luu, K.[Khoa],
The Right to Talk: An Audio-Visual Transformer Approach,
ICCV21(1085-1094)
IEEE DOI
2203
Location awareness, Visualization, Correlation, Interrupters,
Transformers, Feature extraction, Regulation,
Video analysis and understanding
BibRef
Weng, W.M.[Wen-Ming],
Zhang, Y.[Yueyi],
Xiong, Z.W.[Zhi-Wei],
Event-based Video Reconstruction Using Transformer,
ICCV21(2543-2552)
IEEE DOI
2203
Visualization, Computational modeling, Semantics,
Memory management, Transformers, Feature extraction,
Image and video synthesis
BibRef
Arnab, A.[Anurag],
Dehghani, M.[Mostafa],
Heigold, G.[Georg],
Sun, C.[Chen],
Lucic, M.[Mario],
Schmid, C.[Cordelia],
ViViT: A Video Vision Transformer,
ICCV21(6816-6826)
IEEE DOI
2203
Training, Benchmark testing, Transformers,
Spatiotemporal phenomena, Kinetic theory,
Action and behavior recognition
BibRef
Girdhar, R.[Rohit],
Grauman, K.[Kristen],
Anticipative Video Transformer,
ICCV21(13485-13495)
IEEE DOI
2203
Video sequences, Predictive models,
Benchmark testing, Transformers, Task analysis,
Video analysis and understanding
BibRef
Zhang, Y.[Yanyi],
Li, X.Y.[Xin-Yu],
Liu, C.H.[Chun-Hui],
Shuai, B.[Bing],
Zhu, Y.[Yi],
Brattoli, B.[Biagio],
Chen, H.[Hao],
Marsic, I.[Ivan],
Tighe, J.[Joseph],
VidTr: Video Transformer Without Convolutions,
ICCV21(13557-13567)
IEEE DOI
2203
Training, Costs, Error analysis, Computational modeling,
Transformers, Cognition, Action and behavior recognition,
Video analysis and understanding
BibRef
Chen, J.W.[Jia-Wei],
Ho, C.M.[Chiu Man],
MM-ViT: Multi-Modal Video Transformer for Compressed Video Action
Recognition,
WACV22(786-797)
IEEE DOI
2202
Computational modeling, Benchmark testing,
ransformers, Computational efficiency, Spatiotemporal phenomena,
Analysis and Understanding
BibRef
Li, S.Y.[Shu-Yan],
Li, X.[Xiu],
Lu, J.W.[Ji-Wen],
Zhou, J.[Jie],
Self-supervised Video Hashing via Bidirectional Transformers,
CVPR21(13544-13553)
IEEE DOI
2111
Training, Hash functions, Visualization,
Correlation, Benchmark testing, Transformers
BibRef
Hsu, T.C.[Tzu-Chun],
Liao, Y.S.[Yi-Sheng],
Huang, C.R.[Chun-Rong],
Video Summarization With Frame Index Vision Transformer,
MVA21(1-5)
DOI Link
2109
Training, Deep learning, Recurrent neural networks,
Streaming media, Real-time systems, Computational efficiency
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Spiking Neural Networks .