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06/19/2023
MotionGPT: Finetuned LLMs are General-Purpose Motion Generators
Generating realistic human motion from given action descriptions has exp...
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06/16/2023
EVOPOSE: A Recursive Transformer For 3D Human Pose Estimation With Kinematic Structure Priors
Transformer is popular in recent 3D human pose estimation, which utilize...
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06/15/2023
Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removal
Image restoration under adverse weather conditions (e.g., rain, snow and...
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06/08/2023
HQ-50K: A Large-scale, High-quality Dataset for Image Restoration
This paper introduces a new large-scale image restoration dataset, calle...
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05/18/2023
Multi-spectral Class Center Network for Face Manipulation Detection and Localization
As Deepfake contents continue to proliferate on the internet, advancing ...
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05/10/2023
Clothes-Invariant Feature Learning by Causal Intervention for Clothes-Changing Person Re-identification
Clothes-invariant feature extraction is critical to the clothes-changing...
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12/07/2022
X-Paste: Revisit Copy-Paste at Scale with CLIP and StableDiffusion
Copy-Paste is a simple and effective data augmentation strategy for inst...
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10/23/2022
UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection
Intra-frame inconsistency has been proved to be effective for the genera...
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08/01/2022
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification
Graph-based models have achieved great success in person re-identificati...
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07/08/2022
Towards Intrinsic Common Discriminative Features Learning for Face Forgery Detection using Adversarial Learning
Existing face forgery detection methods usually treat face forgery detec...
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05/10/2022
Reduce Information Loss in Transformers for Pluralistic Image Inpainting
Transformers have achieved great success in pluralistic image inpainting...
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01/04/2022
Online Multi-Object Tracking with Unsupervised Re-Identification Learning and Occlusion Estimation
Occlusion between different objects is a typical challenge in Multi-Obje...
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10/18/2021
Unsupervised Finetuning
This paper studies "unsupervised finetuning", the symmetrical problem of...
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09/08/2021
Temporal RoI Align for Video Object Recognition
Video object detection is challenging in the presence of appearance dete...
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08/27/2021
ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation
Co-occurrent visual pattern makes aggregating contextual information a c...
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08/26/2021
Mining Contextual Information Beyond Image for Semantic Segmentation
This paper studies the context aggregation problem in semantic image seg...
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07/29/2021
Geometry Uncertainty Projection Network for Monocular 3D Object Detection
Geometry Projection is a powerful depth estimation method in monocular 3...
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07/29/2021
Cascaded Residual Density Network for Crowd Counting
Crowd counting is a challenging task due to the issues such as scale var...
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07/29/2021
Abnormal Behavior Detection Based on Target Analysis
Abnormal behavior detection in surveillance video is a pivotal part of t...
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07/26/2021
Improve Unsupervised Pretraining for Few-label Transfer
Unsupervised pretraining has achieved great success and many recent work...
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03/14/2021
Towards Generalizable and Robust Face Manipulation Detection via Bag-of-local-feature
Over the past several years, in order to solve the problem of malicious ...
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03/11/2021
Diverse Semantic Image Synthesis via Probability Distribution Modeling
Semantic image synthesis, translating semantic layouts to photo-realisti...
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12/10/2020
Are Fewer Labels Possible for Few-shot Learning?
Few-shot learning is challenging due to its very limited data and labels...
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12/08/2020
Efficient Semantic Image Synthesis via Class-Adaptive Normalization
Spatially-adaptive normalization (SPADE) is remarkably successful recent...
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10/30/2020
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing
Despite the recent success of face image generation with GANs, condition...
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04/06/2020
Rethinking Spatially-Adaptive Normalization
Spatially-adaptive normalization is remarkably successful recently in co...
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03/30/2020
Density-Aware Graph for Deep Semi-Supervised Visual Recognition
Semi-supervised learning (SSL) has been extensively studied to improve t...
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02/28/2020
Cross-modality Person re-identification with Shared-Specific Feature Transfer
Cross-modality person re-identification (cm-ReID) is a challenging but k...
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08/09/2017
