4 videos in one frame






Just One Moment: Structural Vulnerability of Deep Action

However these methods have been verified only on traditional action recognition models. Furthermore
Hwang Just One Moment Structural Vulnerability of Deep Action Recognition Against ICCV paper


Condensing a Sequence to One Informative Frame for Video

There- fore we propose a novel Informative Frame Synthesis (IFS) architecture guiding the generation of synthetic frames by multiple pre-defined tasks and 
Qiu Condensing a Sequence to One Informative Frame for Video Recognition ICCV paper


TS 101 191 - V1.4.1 - Digital Video Broadcasting (DVB); DVB mega

DVB mega-frame for Single Frequency Network (SFN) synchronization ETSI. ETSI TS 101 191 V1.4.1 (2004-06). 4. Intellectual Property Rights.
ts v p


Predicting Salient Face in Multiple-face Videos - Yufan Liu

On the other hand we find that the attention of different subjects consistently focuses on a single face in each frame of videos involving multiple faces.
Liu Predicting Salient Face CVPR paper





Occluded Video Instance Segmentation: Dataset and ICCV 2021

CamVid [5] dataset contains 4 videos and annotates one frame every 30 frames obtaining 800 annotated frames finally. 3. Page 4. Figure 2: Annotation examples of 


Occluded Video Instance Segmentation: Dataset and ICCV 2021

Nov 15 2021 CamVid [5] dataset contains 4 videos and annotates one frame every 30 frames obtaining 800 annotated frames finally. 3. Page 4. Figure 2: ...


arXiv:2102.01558v6 [cs.CV] 17 May 2022

May 17 2022 CamVid [6] dataset contains 4 videos and the authors an- notate one frame every 30 frames


One-Step Time-Dependent Future Video Frame Prediction with a

Feb 14 2017 jectories based on a single video frame. ... In [4]





MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on


M-LVC: Multiple Frames Prediction for Learned Video Compression

In our scheme the motion vector (MV) field is calculated between the current frame and the previous one. With multiple reference frames and associated multiple 
Lin M LVC Multiple Frames Prediction for Learned Video Compression CVPR paper


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