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Found 15 papers, 6 papers with code
A Survey on Video Diffusion Models
However, existing surveys mainly focus on diffusion models in the context of image generation, with few up-to-date reviews on their application in the video domain.
A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling
Given the features of a video, recurrent neural networks can be used to automatically generate a caption for the video.
Panoptic Vision-Language Feature Fields
In this paper, we propose to the best of our knowledge the first algorithm for open-vocabulary panoptic segmentation in 3D scenes.
Delving Deeper into the Decoder for Video Captioning
Video captioning is an advanced multi-modal task which aims to describe a video clip using a natural language sentence.
SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation
Compared to the segment anything model, SPPNet shows roughly 20 times faster inference, with 1/70 parameters and computational cost.
The MSR-Video to Text Dataset with Clean Annotations
We cleaned the MSR-VTT annotations by removing these problems, then tested several typical video captioning models on the cleaned dataset.
Locality Preserving Projections for Grassmann manifold
Learning on Grassmann manifold has become popular in many computer vision tasks, with the strong capability to extract discriminative information for imagesets and videos.
Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications
Partial least squares regression (PLSR) has been a popular technique to explore the linear relationship between two datasets.
Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation
The paper addresses the problem of optimizing a class of composite functions on Riemannian manifolds and a new first order optimization algorithm (FOA) with a fast convergence rate is proposed.
Multi-View Fuzzy Clustering with The Alternative Learning between Shared Hidden Space and Partition
How to exploit the relation-ship between different views effectively using the characteristic of multi-view data has become a crucial challenge.
Double-Coupling Learning for Multi-Task Data Stream Classification
Data stream classification methods demonstrate promising performance on a single data stream by exploring the cohesion in the data stream.
TextScanner: Reading Characters in Order for Robust Scene Text Recognition
Driven by deep learning and the large volume of data, scene text recognition has evolved rapidly in recent years.
Ranked #18 on
Scene Text Recognition
on ICDAR2015
Facial Attribute Transformers for Precise and Robust Makeup Transfer
In this paper, we address the problem of makeup transfer, which aims at transplanting the makeup from the reference face to the source face while preserving the identity of the source.
The Extended UCB Policies for Frequentist Multi-armed Bandit Problems
The multi-armed bandit (MAB) problem is a widely studied model in the field of reinforcement learning.
PromptFusion: Decoupling Stability and Plasticity for Continual Learning
Such a trade-off is referred to as the stabilityplasticity dilemma and is a more general and challenging problem for continual learning.
