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Found 7 papers, 3 papers with code
Video Generation from Text Employing Latent Path Construction for Temporal Modeling
To the best of our knowledge, this is the very first work on the text (free-form sentences) to video generation on more realistic video datasets like Actor and Action Dataset (A2D) or UCF101.
MMFT-BERT: Multimodal Fusion Transformer with BERT Encodings for Visual Question Answering
We present MMFT-BERT(MultiModal Fusion Transformer with BERT encodings), to solve Visual Question Answering (VQA) ensuring individual and combined processing of multiple input modalities.
Deep Photo Cropper and Enhancer
In the photo enhancer, we employ super-resolution to increase the number of pixels in the embedded image and reduce the effect of stretching and distortion of pixels.
Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention
In this paper, we propose an approach for augmenting a deep visuomotor policy trained through demonstrations with Task Focused visual Attention (TFA).
Visual Text Correction
A semantic inconsistency between the sentence and the video or between the words of a sentence can result in an inaccurate description.
Video Fill In the Blank using LR/RL LSTMs with Spatial-Temporal Attentions
Since the source sentence is broken into two fragments: the sentence's left fragment (before the blank) and the sentence's right fragment (after the blank), traditional Recurrent Neural Networks cannot encode this structure accurately because of many possible variations of the missing word in terms of the location and type of the word in the source sentence.
Video Fill in the Blank with Merging LSTMs
In the experiments, we have demonstrated the superior performance of the proposed method on the challenging "Movie Fill-in-the-Blank" dataset.
