Search Results for author:
Found 22 papers, 11 papers with code
Survey on Memory-Augmented Neural Networks: Cognitive Insights to AI Applications
This paper explores Memory-Augmented Neural Networks (MANNs), delving into how they blend human-like memory processes into AI.
SingleInsert: Inserting New Concepts from a Single Image into Text-to-Image Models for Flexible Editing
To utilize the abundant visual priors in the off-the-shelf T2I models, a series of methods try to invert an image to proper embedding that aligns with the semantic space of the T2I model.
Continual Learning in Open-vocabulary Classification with Complementary Memory Systems
We introduce a method for flexible and efficient continual learning in open-vocabulary image classification, drawing inspiration from the complementary learning systems observed in human cognition.
Consistent Multimodal Generation via A Unified GAN Framework
We investigate how to generate multimodal image outputs, such as RGB, depth, and surface normals, with a single generative model.
Learning in a Single Domain for Non-Stationary Multi-Texture Synthesis
To our knowledge, ours is the first scheme for this challenging task, including model, training, and evaluation.
CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer
CCPL can preserve the coherence of the content source during style transfer without degrading stylization.
MobileFaceSwap: A Lightweight Framework for Video Face Swapping
In this work, we propose a lightweight Identity-aware Dynamic Network (IDN) for subject-agnostic face swapping by dynamically adjusting the model parameters according to the identity information.
Progressive and Aligned Pose Attention Transfer for Person Image Generation
This paper proposes a new generative adversarial network for pose transfer, i. e., transferring the pose of a given person to a target pose.
FaceController: Controllable Attribute Editing for Face in the Wild
By simply employing some existing and easy-obtainable prior information, our method can control, transfer, and edit diverse attributes of faces in the wild.
Ranked #1 on
Face Swapping
on FaceForensics++
(FID metric)
WDNet: Watermark-Decomposition Network for Visible Watermark Removal
Visible watermarks are widely-used in images to protect copyright ownership.
Sustainable Border Control Policy in the COVID-19 Pandemic: A Math Modeling Study
We aim to find out what sustainable border control options for different entities (e. g., countries, states) exist during the reopening phases, given their own choice of domestic control measures and new technologies such as contact tracing.
Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation
To unbiasedly learn to rank, existing counterfactual frameworks first estimate the propensity (probability) of missing clicks with intervention data from a small portion of search traffic, and then use inverse propensity score (IPS) to debias LTR algorithms on the whole data set.
Semantically Multi-modal Image Synthesis
Experiments on several challenging datasets demonstrate the superiority of GroupDNet on performing the SMIS task.
Semantic Flow for Fast and Accurate Scene Parsing
A common practice to improve the performance is to attain high resolution feature maps with strong semantic representation.
Ranked #2 on
Real-Time Semantic Segmentation
on Cityscapes test
Asymmetric Non-local Neural Networks for Semantic Segmentation
The non-local module works as a particularly useful technique for semantic segmentation while criticized for its prohibitive computation and GPU memory occupation.
Ranked #15 on
Semantic Segmentation
on COCO-Stuff test
Progressive Pose Attention Transfer for Person Image Generation
This paper proposes a new generative adversarial network for pose transfer, i. e., transferring the pose of a given person to a target pose.
Ranked #1 on
Pose Transfer
on Market-1501
Non-Stationary Texture Synthesis by Adversarial Expansion
We demonstrate that this conceptually simple approach is highly effective for capturing large-scale structures, as well as other non-stationary attributes of the input exemplar.
Rotation-Sensitive Regression for Oriented Scene Text Detection
Previous methods rely on shared features for both tasks, resulting in degraded performance due to the incompatibility of the two tasks.
Ranked #14 on
Scene Text Detection
on MSRA-TD500
Hierarchical Modeling and Shrinkage for User Session Length Prediction in Media Streaming
In this work we present a novel framework inspired by hierarchical Bayesian modeling to predict, at the moment of login, the amount of time a user will spend in the streaming service.
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
The fully annotated DOTA images contains $188, 282$ instances, each of which is labeled by an arbitrary (8 d. o. f.)
Ranked #52 on
Object Detection In Aerial Images
on DOTA
(using extra training data)
Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis
In this paper, we investigate the Chinese calligraphy synthesis problem: synthesizing Chinese calligraphy images with specified style from standard font(eg.
Method of Tibetan Person Knowledge Extraction
Person knowledge extraction is the foundation of the Tibetan knowledge graph construction, which provides support for Tibetan question answering system, information retrieval, information extraction and other researches, and promotes national unity and social stability.
