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【EMNLP 2024 】Video-LLaVA: Learning United Visual ... - GitHub
? Highlights Video-LLaVA exhibits remarkable interactive capabilities between images and videos, despite the absence of image-video pairs in the dataset.
O-MaMa: Learning Object Mask Matching between Egocentric and Exocentric Views
Understanding the world from multiple perspectives is essential for intelligent systems operating together, where segmenting common objects across different views remains an open problem. We introduce a new approach that re-defines cross-image segmen...
Geometric Perception based Efficient Text Recognition
Every Scene Text Recognition (STR) task consists of text localization \& text recognition as the prominent sub-tasks. However, in real-world applications with fixed camera positions such as equipment monitor reading, image-based data entry, and print...
On the Relationship Between Dual Photography and Classical Ghost Imaging
Classical ghost imaging has received considerable attention in recent years because of its remarkable ability to image a scene without direct observation by a light-detecting imaging device. In this article, we show that this imaging process is actua...
Snapshot (photography) - Wikipedia
against a blurred background. Snapshot photography can be considered the purest form[citation needed] of photography in providing images with the characteristics
PhotoNet Home - Photo.net
Browse by Forum Category General Photography Images Practice and Technique Equipment
Homepage - Photo.net
Welcome to PhotoNet the world's premier general knowledge photography community which included member image galleries and albums
codrops/PhotographyWebsiteConcept
A photography-inspired website layout with an expanding stack slider and a background image tilt effect. (⭐ 197)
Clothing Co-Parsing by Joint Image Segmentation and Labeling
This paper aims at developing an integrated system of clothing co-parsing, in order to jointly parse a set of clothing images (unsegmented but annotated with tags) into semantic configurations. We propose a data-driven framework consisting of two pha...
Classify and Generate: Using Classification Latent Space Representations for Ima…
Utilization of classification latent space information for downstream reconstruction and generation is an intriguing and a relatively unexplored area. In general, discriminative representations are rich in class-specific features but are too sparse f...
microsoft/GlobalMLBuildingFootprints
Worldwide building footprints derived from satellite imagery (⭐ 1811)
Alexwxwu/FishingNetsQualityInspection
Quality inspection based on image produced by fishing nets. (⭐ 0)
VAST-AI-Research/TripoSR
TripoSR: Fast 3D Object Reconstruction from a Single Image (⭐ 6231)
balena-io/etcher
Flash OS images to SD cards & USB drives, safely and easily. (⭐ 33248)
AUGUST 2023 - - LIST OF PIT BULL ATTACKS/FATALITIES (ongoing)
[Cover Image](https://imgur.com/a/5iBXBa3) This is a list of pit bull attacks and fatalities documented by the media and social media for the month of August 2023. This list will be edited througho...
Comparing Face Detection and Recognition Techniques
This paper implements and compares different techniques for face detection and recognition. One is find where the face is located in the images that is face detection and second is face recognition that is identifying the person. We study three techn...
Self-Supervised Shadow Removal
Shadow removal is an important computer vision task aiming at the detection and successful removal of the shadow produced by an occluded light source and a photo-realistic restoration of the image contents. Decades of re-search produced a multitude o...
Face Image Reflection Removal
Face images captured through the glass are usually contaminated by reflections. The non-transmitted reflections make the reflection removal more challenging than for general scenes, because important facial features are completely occluded. In this p...
Progressive Recurrent Network for Shadow Removal
Single-image shadow removal is a significant task that is still unresolved. Most existing deep learning-based approaches attempt to remove the shadow directly, which can not deal with the shadow well. To handle this issue, we consider removing the sh...