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Found 11 papers, 4 papers with code
Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection
In addition, these detectors primarily rely on category names and overlook the rich contextual information that language can provide, which is essential for capturing open vocabulary concepts that are typically rare and not well-represented by category names alone.
Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory
This observation motivates us to design an HOI detector that can be trained even with long-tailed labeled data and can leverage existing knowledge from pre-trained models.
EgoTaskQA: Understanding Human Tasks in Egocentric Videos
The challenges of such capability lie in the difficulty of generating a detailed understanding of situated actions, their effects on object states (i. e., state changes), and their causal dependencies.
Team PKU-WICT-MIPL PIC Makeup Temporal Video Grounding Challenge 2022 Technical Report
In this technical report, we briefly introduce the solutions of our team `PKU-WICT-MIPL' for the PIC Makeup Temporal Video Grounding (MTVG) Challenge in ACM-MM 2022.
Visual cryptography in single-pixel imaging
The secret image can be recovered when identical illumination patterns are projected onto multiple visual key images and a single detector is used to record the total light intensities.
Does deep learning always outperform simple linear regression in optical imaging?
Despite the success, the limitations and drawbacks of deep learning in optical imaging have been seldom investigated.
Data hiding in complex-amplitude modulation using a digital micromirror device
A digital micromirror device (DMD) is an amplitude-type spatial light modulator.
Known-plaintext attack and ciphertext-only attack for encrypted single-pixel imaging
In many previous works, a single-pixel imaging (SPI) system is constructed as an optical image encryption system.
Optical machine learning with incoherent light and a single-pixel detector
Like an optical computer, the system can perform machine learning tasks such as number digit recognition in an all-optical manner.
Multiple-image encryption and hiding with an optical diffractive neural network
In our proposed scheme, multiple input images can be simultaneously fed to an optical diffractive neural network (DNN) system and each corresponding output image will be displayed in a non-overlap sub-region in the output imaging plane.
Design of optimal illumination patterns in single-pixel imaging using image dictionaries
Single-pixel imaging (SPI) has a major drawback that many sequential illuminations are required for capturing one single image with long acquisition time.
