Video Understanding
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Greatest papers with code
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
CVPR 2018
• tensorflow/models
• 
The AVA dataset densely annotates 80 atomic visual actions in 430 15-minute video clips, where actions are localized in space and time, resulting in 1. 58M action labels with multiple labels per person occurring frequently.
TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition
• chihyaoma/Activity-Recognition-with-CNN-and-RNN
• 
We demonstrate that using both RNNs (using LSTMs) and Temporal-ConvNets on spatiotemporal feature matrices are able to exploit spatiotemporal dynamics to improve the overall performance.
ACTION CLASSIFICATION ACTION RECOGNITION IN VIDEOS ACTIVITY RECOGNITION VIDEO CLASSIFICATION VIDEO UNDERSTANDING
Learnable pooling with Context Gating for video classification
• antoine77340/Youtube-8M-WILLOW
•
In particular, we evaluate our method on the large-scale multi-modal Youtube-8M v2 dataset and outperform all other methods in the Youtube 8M Large-Scale Video Understanding challenge.
ECO: Efficient Convolutional Network for Online Video Understanding
ECCV 2018
• mzolfaghari/ECO-efficient-video-understanding
• 
In this paper, we introduce a network architecture that takes long-term content into account and enables fast per-video processing at the same time.
The Monkeytyping Solution to the YouTube-8M Video Understanding Challenge
This article describes the final solution of team monkeytyping, who finished in second place in the YouTube-8M video understanding challenge.
TSM: Temporal Shift Module for Efficient Video Understanding
• MIT-HAN-LAB/temporal-shift-module
•
The explosive growth in video streaming gives rise to challenges on efficiently extracting the spatial-temporal information to perform video understanding at low computation cost.
Temporal Tessellation: A Unified Approach for Video Analysis
ICCV 2017
• dot27/temporal-tessellation
•
A test video is processed by forming correspondences between its clips and the clips of reference videos with known semantics, following which, reference semantics can be transferred to the test video.
ACTION DETECTION VIDEO CAPTIONING VIDEO SUMMARIZATION VIDEO UNDERSTANDING
Learnable Pooling Methods for Video Classification
• pomonam/LearnablePoolingMethods
•
We demonstrate our solutions in the "The 2nd YouTube-8M Video Understanding Challenge", by using frame-level video and audio descriptors.
Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning
HLT 2018
• chitwansaharia/HACAModel
•
Furthermore, for the first time, we validate the superior performance of the deep audio features on the video captioning task.
Joint Event Detection and Description in Continuous Video Streams
• VisionLearningGroup/JEDDi-Net
In order to explicitly model temporal relationships between visual events and their captions in a single video, we also propose a two-level hierarchical captioning module that keeps track of context.