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08/24/2023
Towards Realistic Unsupervised Fine-tuning with CLIP
The emergence of vision-language models (VLMs), such as CLIP, has spurre...
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08/07/2023
GaFET: Learning Geometry-aware Facial Expression Translation from In-The-Wild Images
While current face animation methods can manipulate expressions individu...
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07/14/2023
Improving Zero-Shot Generalization for CLIP with Synthesized Prompts
With the growing interest in pretrained vision-language models like CLIP...
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06/27/2023
Free-style and Fast 3D Portrait Synthesis
Efficiently generating a free-style 3D portrait with high quality and co...
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04/17/2023
Collaborative Feature Learning for Fine-grained Facial Forgery Detection and Segmentation
Detecting maliciously falsified facial images and videos has attracted e...
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03/27/2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Machine learning methods strive to acquire a robust model during trainin...
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03/19/2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
Model adaptation aims at solving the domain transfer problem under the c...
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03/17/2023
Exploiting Semantic Attributes for Transductive Zero-Shot Learning
Zero-shot learning (ZSL) aims to recognize unseen classes by generalizin...
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03/11/2023
DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation
Text-driven image manipulation remains challenging in training or infere...
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03/09/2023
RiDDLE: Reversible and Diversified De-identification with Latent Encryptor
This work presents RiDDLE, short for Reversible and Diversified De-ident...
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02/03/2023
CFFT-GAN: Cross-domain Feature Fusion Transformer for Exemplar-based Image Translation
Exemplar-based image translation refers to the task of generating images...
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02/03/2023
Semantic 3D-aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field
Recently 3D-aware GAN methods with neural radiance field have developed ...
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11/23/2022
Semantic-aware One-shot Face Re-enactment with Dense Correspondence Estimation
One-shot face re-enactment is a challenging task due to the identity mis...
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11/21/2022
Vision Transformer with Super Token Sampling
Vision transformer has achieved impressive performance for many vision t...
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11/11/2022
HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generation
Text-driven person image generation is an emerging and challenging task ...
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10/25/2022
Pointly-Supervised Panoptic Segmentation
In this paper, we propose a new approach to applying point-level annotat...
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06/14/2022
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring
Attributes skew hinders the current federated learning (FL) frameworks f...
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03/25/2022
Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes
Sound source localization in visual scenes aims to localize objects emit...
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09/29/2021
Detailed Region-Adaptive Normalization for Heavy Makeup Transfer
In recent years, facial makeup transfer has attracted growing attention ...
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07/31/2021
Learning Instance-level Spatial-Temporal Patterns for Person Re-identification
Person re-identification (Re-ID) aims to match pedestrians under dis-joi...
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07/22/2021
Adaptive Dilated Convolution For Human Pose Estimation
Most existing human pose estimation (HPE) methods exploit multi-scale in...
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07/15/2021
Neighbor-view Enhanced Model for Vision and Language Navigation
Vision and Language Navigation (VLN) requires an agent to navigate to a ...
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06/21/2021
GAIA: A Transfer Learning System of Object Detection that Fits Your Needs
Transfer learning with pre-training on large-scale datasets has played a...
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05/31/2021
Transferable Sparse Adversarial Attack
Deep neural networks have shown their vulnerability to adversarial attac...
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05/25/2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images
Few-shot learning is a challenging task since only few instances are giv...
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05/14/2021
End-to-end Alternating Optimization for Blind Super Resolution
Previous methods decompose the blind super-resolution (SR) problem into ...
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04/28/2021
Robust Face-Swap Detection Based on 3D Facial Shape Information
Maliciously-manipulated images or videos - so-called deep fakes - especi...
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04/21/2021
SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer
In recent years, virtual makeup applications have become more and more p...
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03/30/2021
Locate then Segment: A Strong Pipeline for Referring Image Segmentation
Referring image segmentation aims to segment the objects referred by a n...
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03/29/2021
Learning Domain Invariant Representations for Generalizable Person Re-Identification
Generalizable person Re-Identification (ReID) has attracted growing atte...
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03/29/2021
Graph Classification by Mixture of Diverse Experts
Graph classification is a challenging research problem in many applicati...
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01/20/2021
Focal and Efficient IOU Loss for Accurate Bounding Box Regression
In object detection, bounding box regression (BBR) is a crucial step tha...
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12/30/2020
Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation
Heatmap regression has become the most prevalent choice for nowadays hum...
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12/13/2020
Efficient Human Pose Estimation by Learning Deeply Aggregated Representations
In this paper, we propose an efficient human pose estimation network (DA...
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11/19/2020
Style Intervention: How to Achieve Spatial Disentanglement with Style-based Generators?
Generative Adversarial Networks (GANs) with style-based generators (e.g....
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10/06/2020
Unfolding the Alternating Optimization for Blind Super Resolution
Previous methods decompose blind super resolution (SR) problem into two ...
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07/12/2020
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition
We consider the problem of semi-supervised 3D action recognition which h...
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06/29/2020
TFNet: Multi-Semantic Feature Interaction for CTR Prediction
The CTR (Click-Through Rate) prediction plays a central role in the doma...
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05/18/2020
Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
Training with more data has always been the most stable and effective wa...
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05/06/2020
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
Session-based recommendation nowadays plays a vital role in many website...
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04/20/2020
Cosmetic-Aware Makeup Cleanser
Face verification aims at determining whether a pair of face images belo...
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04/03/2020
Learning Pose-invariant 3D Object Reconstruction from Single-view Images
Learning to reconstruct 3D shapes using 2D images is an active research ...
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02/22/2020
Temporal Sparse Adversarial Attack on Gait Recognition
Gait recognition has a broad application in social security due to its a...
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12/19/2019
A New Ensemble Method for Concessively Targeted Multi-model Attack
It is well known that deep learning models are vulnerable to adversarial...
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12/01/2019
Alignment Free and Distortion Robust Iris Recognition
Iris recognition is a reliable personal identification method but there ...
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12/01/2019
Dynamic Graph Representation for Partially Occluded Biometrics
The generalization ability of Convolutional neural networks (CNNs) for b...
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11/15/2019
A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging
Face aging, which aims at aesthetically rendering a given face to predic...
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11/05/2019
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction
Graph representation learning is of paramount importance for a variety o...
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09/05/2019
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection
Recently, Neural Architecture Search has achieved great success in large...
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09/05/2019
