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Universal Backward-Compatible Representation Learning Conventional model upgrades for visual search systems require offline refresh of gallery features by feeding gallery images into new models (dubbed as...
Read articleWondering how to ensure Zoom security for your business and other communications? Check out these tips to secure your Zoom chats and meetings without hassle. Zoom...
Read articleThis guide provides you with 15 ways to know if someone is spying on your cell phone, plus how you can remove spy software alongside stopping...
Read articlePublic DNS servers are an excellent means to protect your privacy, bypass content restrictions, and get faster speeds. Find your best pick right here and enjoy...
Read articleSurveillance and spying have been a rising trend around the world. Do you think you have never been spied on? Think again. The Government, security agencies, ISP,...
Read articleThe dark web is a part of the internet where you only step in with a specific tool. It hosts onion links that you cannot access...
Read articleThis comprehensive list of the best network scanning tools helps you pick the right tool for finding and fixing any vulnerabilities free. Network and IP scanning...
Read articleTorrents come in as a savior when every service exploits users’ demands by offering premium services. So whether you wish to download an ebook torrent or...
Read article3D visual grounding, the task of identifying visual objects in 3D scenes based on natural language inputs, plays a critical role in enabling machines to understand...
Read articleA Bi-lingual Benchmark for Text Segmentation in the Wild As a prerequisite of many text-related tasks such as text erasing and text style transfer, text segmentation...
Read articleA Hierarchical Speaker Representation Framework for One-shot Singing Voice Conversion Typically, singing voice conversion (SVC) depends on an embedding vector, extracted from either a speaker lookup...
Read articleAccelerating the Training of Video Super-Resolution Models Despite that convolution neural networks (CNN) have recently demonstrated high-quality reconstruction for video super-resolution (VSR), efficiently training competitive VSR...
Read articleMILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval Dominant pre-training work for video-text retrieval mainly adopt the “dual-encoder” architectures to enable efficient retrieval,...
Read articleAnimeSR: Learning Real-World Super-Resolution Models for Animation Videos This paper studies the problem of real-world video super-resolution (VSR) for animation videos, and reveals three key improvements...
Read articleDeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes Modeling dynamic scenes is important for many applications such as virtual reality and telepresence. Despite achieving unprecedented...
Read articleSnowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer Most existing point cloud completion methods suffer from the discrete nature of point clouds and...
Read articleMitigating Artifacts in Real-World Video Super-Resolution Models with More Cheap Hidden States and Selective Cross Attention The recurrent structure is a prevalent framework for the task...
Read articleAccelerating the Training of Video Super-Resolution Models Despite that convolution neural networks (CNN) have recently demonstrated high-quality reconstruction for video super-resolution (VSR), efficiently training competitive VSR...
Read articleWhat Does Your Face Sound Like? 3D Face Shape Towards Voice Face-based speech synthesis provides a practical solution to generate voices from human faces. However, directly...
Read articleDarwinian Model Upgrades: Model Evolving with Selective Compatibility The traditional model upgrading paradigm for retrieval requires recomputing all gallery embeddings before deploying the new model (dubbed...
Read articleVideo-Text Pre-training with Learned Regions for Retrieval Video-Text pre-training aims at learning transferable representations from large-scale video-text pairs via aligning the semantics between visual and textual...
Read articleTagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval Vision-language alignment learning for video-text retrieval arouses a lot of attention in recent years. Most of the...
Read articleMasked Image Modeling with Denoising Contrast Since the development of self-supervised visual representation learning from contrastive learning to masked image modeling (MIM), there is no significant...
Read articleERBNet: An Effective Representation Based Network for Unbiased Scene Graph Generation The scene graph generation (SGG) task has attracted increasing attention in recent years. The goal...
Read articleEnhancing the Vocal Range of Single-Speaker Singing Voice Synthesis with Melody-Unsupervised Pre-training The single-speaker singing voice synthesis (SVS) usually underperforms at pitch values that are out...
Read articleLearning Transferable Spatiotemporal Representations from Natural Script Knowledge Pre-training on large-scale video data has become a common recipe for learning transferable spatiotemporal representations in recent years....
Read articleHRDFuse: Monocular 360° Depth Estimation by Collaboratively Learning Holistic-with-Regional Depth Distributions Depth estimation from a monocular 360° image is a burgeoning problem owing to its holistic...
Read articleViLEM: Visual-Language Error Modeling for Image-Text Retrieval Dominant pre-training works for image-text retrieval adopt “dual-encoder” architecture to enable high efficiency, where two encoders are used to...
Read articleSurfelNeRF: Neural Surfel Radiance Field for Online 3D Reconstruction and Photorealistic Rendering Online reconstructing and rendering of large-scale indoor scenes is a long-standing challenge. SLAM-based methods...
Read articleAll in One: Exploring Unified Video-Language Pre-training Mainstream Video-Language Pre-training models consist of three parts, a video encoder, a text encoder, and a video-text fusion Transformer....
Read articleMasked Visual Reconstruction in Language Semantic Space Both masked image modeling (MIM) and natural language supervision have facilitated the progress of transferable visual pre-training. In this...
Read articleDream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models Recent CLIP-guided 3D optimization methods, eg, DreamFields and PureCLIPNeRF achieve great success in zero-shot...
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