Video captioning using SCN-LSTM models with S2VT baseline
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Updated
Mar 15, 2023 - Python
Video captioning using SCN-LSTM models with S2VT baseline
AI based Video summarizer along with captioning.
S2VT with Attention
Master Thesis on Multimodal Video Captioning, done at Huawei's Research Center in Amsterdam.
Video Captioning using Scene Change Detection and Image Captioning
Implementation of Encoder-Decoder Model for Video Captioning in Tensorflow
Official code for Global Semantic Descriptors for Zero-Shot Action Recognition (IEEE Signal Processing Letters 2022)
Second-place solution to Generic Event Boundary Captioning task in LOVEU Challenge (CVPR 2022 workshop)
Generating paragraph captions for videos
🔍 Shotluck Holmes: A family of small-scale LLVMs for shot-level video understanding
AI-based Video summarizer along with captioning.
Deep learning projects in ADL (2017 FALL) @ NTU. Implement in Tensorflow and Python. Work on Sequence Labeling, Video Caption, Game Playing, and Comics Generation.
Official implementation of state-aware video procedural captioning (ACM MM 2021)
Official code for Tell Me What You See: A Zero-Shot Action Recognition Method Based on Natural Language Descriptions (Multimedia Tools and Applications 2024)
A PyTorch implementation of the paper Thinking Hallucination for Video Captioning.
Multicaptions processes and displays subtitles on a graphic LCD or VFD display while simultaneously playing fullscreen HD video on a separate monitor
Source code of the paper titled *Attentive Visual Semantic Specialized Network for Video Captioning*
Interactive multimedia captioning with Keras
M-VAD Names Dataset. Multimedia Tools and Applications (2019)
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