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- (Cross-)Browser Fingerprinting via OS and Hardware Level Features207
This paper proposes a browser fingerprinting technique that can track users not only within a single browser but also across different browsers on the same machine, and can achieve higher uniqueness rate than the only cross-browser approach in the literature with similar stability.
- Region-aware Adaptive Instance Normalization for Image Harmonization154
This paper proposes a simple yet effective Region-aware Adaptive Instance Normalization (RAIN) module, which explicitly formulates the visual style from the background and adaptively applies them to the foreground.
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- IdentityDP: Differential private identification protection for face images105
IdentityDP, a face anonymization framework that combines a data-driven deep neural network with a differential privacy (DP) mechanism, is proposed that can effectively obfuscate the identity-related information of faces, preserve significant visual similarity, and generate high-quality images that can be used for identity-agnostic computer vision tasks, such as detection, tracking, etc.
- Freestyle Layout-to-Image Synthesis95
This work introduces a new module called Rectified Cross-Attention (RCA) that can be conveniently plugged in the diffusion model to integrate semantic masks, and opts to leverage large-scale pre-trained text-to-image diffusion models to achieve the generation of unseen semantics.
- Accuracy assessment of human trunk surface 3D reconstructions from an optical digitising system94
A commercial, optical 3D digitising system for the 3D reconstruction of the entire trunk for clinical assessment of external asymmetry is assessed and the resulting surface is a textured, high-density polygonal mesh.
- Personalized and Invertible Face De-identification by Disentangled Identity Information Manipulation87
- Semi-automatic computer aided lesion detection in dental X-rays using variational level set79
A semi-automatic lesion detection framework to detect areas of lesions from periapical dental X-rays using level set method that is able to segment the image into pathological meaningful regions for further analysis and automatically locate the PL and BL with a seriousness level marked for further dental diagnosis.
- High precision camera calibration in vision measurement72
In order to ensure the measurement precision for shape recovery from a stereo vision system, a novel high precision calibration method is presented.
- Contourlet-based image adaptive watermarking71
The proposed contourlet-based image adaptive water marking (CIAW) scheme is particularly superior to the conventional watermarking schemes when the watermarked image is attacked by some image processing methods, which destroy the HF subbands, thanks to theWatermarking components preserved in the LF subbands.
- Deep RNNs for video denoising70
A deep architecture based on Recurrent Neural Network (RNN) based on a patch-based end-to-end mapping between the clean and noisy video sequences that is able to compete with some existing video denoising methods.
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- OmniVTLA: Vision-Tactile-Language-Action Models With Semantic-Aligned Tactile Sensing64
This paper proposes OmniVTLA, a novel framework that models vision, tactile, and language for end-to-end contact-rich manipulation tasks, and introduces ObjTac, a comprehensive tactile dataset comprising textual, visual, and tactile information for 56 objects across 10 categories.
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- 360-Degree Panorama Generation from Few Unregistered NFoV Images54
A novel pipeline called PanoDiff is proposed, which efficiently generates complete 360° panoramas using one or more unregistered NFoV images captured from arbitrary angles and achieves state-of-the-art panoramic generation quality and high controllability, making it suitable for applications such as content editing.
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- Boosting Video Object Segmentation via Space-Time Correspondence Learning51
This work devise a correspondence-aware training framework, which boosts matching-based VOS solutions by explicitly encouraging robust correspondence matching during network learning, and reinforces the standard, fully supervised training of mask segmentation with label-free, contrastive correspondence learning.
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- Analysis and identification of spamming behaviors in Sina Weibo microblog44
This paper presents a systematic research on the analysis of spamming in Sina Weibo platform, which is currently a dominant microblogging service provider in China, and designs an automatic online spammer identification system.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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