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- Auto-encoder based dimensionality reduction987
The results show that auto-encoder can indeed learn something different from other methods, and its possible relation with the intrinsic dimensionality of input data.
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- GRNet: Gridding Residual Network for Dense Point Cloud Completion468
This work devise two novel differentiable layers, named Gridding and Gridding Reverse, to convert between point clouds and 3D grids without losing structural information, and presents the differentiable Cubic Feature Sampling layer to extract features of neighboring points, which preserves context information.
- 466
- Pix2Vox: Context-Aware 3D Reconstruction From Single and Multi-View Images392
Experimental results on the ShapeNet and Pix3D benchmarks indicate that the proposed Pix2Vox outperforms state-of-the-arts by a large margin, and the proposed method is 24 times faster than 3D-R2N2 in terms of backward inference time.
- Exploring Principles-of-Art Features For Image Emotion Recognition375
Experiments demonstrate the superiority of PAEF for affective image classification and regression (with about 5% improvement on classification accuracy and 0.2 decrease in mean squared error), as compared to the state-of-the-art approaches.
- Sparse coding based visual tracking: Review and experimental comparison295
This paper first analyzes the benefits of using sparse coding in visual tracking and then categorizes these methods into appearance modeling based on sparse coding (AMSC) and target searchingbased on sparse representation (TSSR) as well as their combination.
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- Location Discriminative Vocabulary Coding for Mobile Landmark Search191
A Location Discriminative Vocabulary Coding (LDVC) scheme, which achieves extremely low bit rate query transmission, discriminative landmark description, as well as scalable descriptor delivery in a unified framework is presented.
- Efficient Regional Memory Network for Video Object Segmentation183
The proposed RM-Net effectively alleviates the ambiguity of similar objects in both memory and query frames, which allows the information to be passed from the regional memory to the query region efficiently and effectively.
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- MonoGaussianAvatar: Monocular Gaussian Point-based Head Avatar145
This work proposes MonoGaussianAvatar (Monocular Gaussian Point-based Head Avatar), a novel approach that harnesses 3D Gaussian point representation coupled with a Gaussian deformation field to learn explicit head avatars from monocular portrait videos.
- Exploiting the complementary strengths of multi-layer CNN features for image retrieval133
A mapping function is designed to highlight the effectiveness of low-layer similarity, when measuring fine-grained similarity between query image and its nearest neighbors with similar semantic, and can achieve competitive performance on popular retrieval benchmarks.
- Robust visual tracking based on online learning sparse representation132
A tracking method that deals with appearance variations separately based on sparse representation in a particle filter framework and shows excellent performance in comparison with two latest state-of-the-art trackers.
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- Predicting Personalized Emotion Perceptions of Social Images120
Rolling multi-task hypergraph learning is presented to consistently combine these factors and a learning algorithm is designed for automatic optimization to predict the personalized emotion perceptions of images for each individual viewer.
- An image fragile watermark scheme based on chaotic image pattern and pixel-pairs120
Simulation results and performance analysis show that the presented method is fast, secure and capable of detecting and localizing modification.
- Affective Image Retrieval via Multi-Graph Learning117
This work focuses on affective image retrieval and investigates the performance of different features on different kinds of images in a multi-graph learning framework, and combines the multiple graphs together in a regularization framework to learn the optimized weights of each graph to efficiently explore the complementation of different Features.
- Trajectory based event tactics analysis in broadcast sports video114
An effective tactic representation called aggregate trajectory is proposed which is constructed based on multiple trajectories using a novel analysis of temporal-spatial interaction among the players and the ball.
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- Mining city landmarks from blogs by graph modeling105
A graph modeling framework to discover city landmarks by mining blog photo correlations with community supervision and achieves personalized tourist suggestions by the collaborative filtering of tourism logs and author correlations is deployed.
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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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