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Found 33 papers, 9 papers with code
Building a Chinese AMR Bank with Concept and Relation Alignments
One significant change we have made to the AMR annotation methodology is the inclusion of the alignment between word tokens in the sentence and the concepts/relations in the CAMR annotation to make it easier for automatic parsers to model the correspondence between a sentence and its meaning representation.
用计量风格学方法考察《水浒传》的作者争议问题——以罗贯中《平妖传》为参照(Quantitive Stylistics Based Research on the Controversy of the Author of “Tales of the Marshes”: Comparing with “Pingyaozhuan” of Luo Guanzhong)
《水浒传》是独著还是合著, 施耐庵和罗贯中是何关系一直存在争议。本文将其作者争议粗略归纳为施耐庵作、罗贯中作、施作罗续、罗作他续、施作罗改五种情况, 以罗贯中的《平妖传》为参照, 用假设检验、文本聚类、文本分类、波动风格计量等方法, 结合对文本内容的分析, 考察《水浒传》的写作风格, 试图为其作者身份认定提供参考。结果显示, 只有罗作他续的可能性大, 即前70回为罗贯中所作, 后由他人续写, 其他四种情况可能性都较小。
In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation
Secondly, it standardizes the training of different tasks into a general in-context learning, where "in-context" means the input comprises an example input-output pair of the target task and a query image.
Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views
A point cloud is constructed for each input view, characterized within the voxel grid using matrices and vectors.
Efficient Dynamic-NeRF Based Volumetric Video Coding with Rate Distortion Optimization
Volumetric videos, benefiting from immersive 3D realism and interactivity, hold vast potential for various applications, while the tremendous data volume poses significant challenges for compression.
Disentangled Clothed Avatar Generation from Text Descriptions
In this paper, we introduced a novel text-to-avatar generation method that separately generates the human body and the clothes and allows high-quality animation on the generated avatar.
Implicit-explicit Integrated Representations for Multi-view Video Compression
To further enhance the reconstruction quality from the INR codec, we leverage the high-quality reconstructed frames from the explicit codec to achieve inter-view compensation.
Spatio-Temporal Contrastive Self-Supervised Learning for POI-level Crowd Flow Inference
To address these challenges, we recast the crowd flow inference problem as a self-supervised attributed graph representation learning task and introduce a novel Contrastive Self-learning framework for Spatio-Temporal data (CSST).
360-Degree Panorama Generation from Few Unregistered NFoV Images
360$^\circ$ panoramas are extensively utilized as environmental light sources in computer graphics.
On the use of deep learning for phase recovery
Then, we review how DL provides support for PR from the following three stages, namely, pre-processing, in-processing, and post-processing.
Learning Dense UV Completion for Human Mesh Recovery
Our method utilizes a dense correspondence map to separate visible human features and completes human features on a structured UV map dense human with an attention-based feature completion module.
Boosting Video Object Segmentation via Space-time Correspondence Learning
Current top-leading solutions for video object segmentation (VOS) typically follow a matching-based regime: for each query frame, the segmentation mask is inferred according to its correspondence to previously processed and the first annotated frames.
Freestyle Layout-to-Image Synthesis
In this work, we explore the freestyle capability of the model, i. e., how far can it generate unseen semantics (e. g., classes, attributes, and styles) onto a given layout, and call the task Freestyle LIS (FLIS).
Divide and Conquer: a Two-Step Method for High Quality Face De-identification with Model Explainability
To address these issues, we propose IDeudemon, which employs a "divide and conquer" strategy to protect identity and preserve utility step by step while maintaining good explainability.
Memories are One-to-Many Mapping Alleviators in Talking Face Generation
More specifically, the implicit memory is employed in the audio-to-expression model to capture high-level semantics in the audio-expression shared space, while the explicit memory is employed in the neural-rendering model to help synthesize pixel-level details.
A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution
In this paper, considering the characteristics of compressed videos, we propose a Codec Information Assisted Framework (CIAF) to boost and accelerate recurrent VSR models for compressed videos.
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection
The temporal information is introduced by the temporal feature aggregation model (TFAM), by conducting an attention mechanism between the context frames and the target frame (i. e., the frame to be detected).
Ranked #5 on
Video Object Detection
on ImageNet VID
StableFace: Analyzing and Improving Motion Stability for Talking Face Generation
In this paper, we conduct systematic analyses on the motion jittering problem based on a state-of-the-art pipeline that uses 3D face representations to bridge the input audio and output video, and improve the motion stability with a series of effective designs.
Intra Encoding Complexity Control with a Time-Cost Model for Versatile Video Coding
Inspired by rate control algorithms, we propose a scheme to precisely control the intra encoding complexity of VVC.
Generative Compression for Face Video: A Hybrid Scheme
As the latest video coding standard, versatile video coding (VVC) has shown its ability in retaining pixel quality.
Complexity-Oriented Per-shot Video Coding Optimization
Current per-shot encoding schemes aim to improve the compression efficiency by shot-level optimization.
A Multi-user Oriented Live Free-viewpoint Video Streaming System Based On View Interpolation
As an important application form of immersive multimedia services, free-viewpoint video(FVV) enables users with great immersive experience by strong interaction.
Dual Attention Guided Gaze Target Detection in the Wild
In the third stage, we use the generated dual attention as guidance to perform two sub-tasks: (1) identifying whether the gaze target is inside or out of the image; (2) locating the target if inside.
Region-aware Adaptive Instance Normalization for Image Harmonization
To ensure the visual style consistency between the foreground and the background, in this paper, we treat image harmonization as a style transfer problem.
Ranked #4 on
Image Harmonization
on HAdobe5k(1024$\times$1024)
DP-Image: Differential Privacy for Image Data in Feature Space
The excessive use of images in social networks, government databases, and industrial applications has posed great privacy risks and raised serious concerns from the public.
IdentityDP: Differential Private Identification Protection for Face Images
We propose IdentityDP, a face anonymization framework that combines a data-driven deep neural network with a differential privacy (DP) mechanism.
Personalized and Invertible Face De-Identification by Disentangled Identity Information Manipulation
The popularization of intelligent devices including smartphones and surveillance cameras results in more serious privacy issues.
Construct a Sense-Frame Aligned Predicate Lexicon for Chinese AMR Corpus
The existing lexicons blur senses and frames of predicates, which needs to be refined to meet the tasks like word sense disambiguation and event extraction.
Toward Fine-grained Facial Expression Manipulation
Previous methods edit an input image under the guidance of a discrete emotion label or absolute condition (e. g., facial action units) to possess the desired expression.
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks
However, the characteristics of users and the properties of items may stem from different aspects, e. g., the brand-aspect and category-aspect of items.
Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer
We propose adversarial gated networks (Gated GAN) to transfer multiple styles in a single model.
Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer
Transferring a low-dynamic-range (LDR) image to a high-dynamic-range (HDR) image, which is the so-called inverse tone mapping (iTM), is an important imaging technique to improve visual effects of imaging devices.
