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Works309 from public data
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- Content-based audio classification and retrieval by support vector machines494
The SVMs with a binary tree recognition strategy are used to tackle the audio classification problem and experimental comparisons for audio retrieval are presented to show the superiority of this novel metric, called distance-from-boundary (DFB).
- A survey on deep learning based face recognition485
Major deep learning concepts pertinent to face image analysis and face recognition are reviewed, and a concise overview of studies on specific face recognition problems is provided, such as handling variations in pose, age, illumination, expression, and heterogeneous face matching.
- Support vector machines for face recognition338
The performance of the SVMs based face recognition is compared with the standard eigenface approach, and also the more recently proposed algorithm called the nearest feature line (NFL).
- TransFER: Learning Relation-aware Facial Expression Representations with Transformers319
The proposed TransFER model outperforms the state-of-the-art methods on several FER benchmarks, showing its effectiveness and usefulness.
- Support Vector Machines Applications281
This book focuses on the recent advances and applications of the SVM, such as image processing, medical practice, computer vision, and pattern recognition, machine learning, applied statistics, and artificial intelligence.
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- A survey on still image based human action recognition260
A detailed overview of the state-of-the-art methods for still image-based action recognition is presented, and various high-level cues and low-level features for action analysis in still images are described.
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- CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing226
A novel multi-modal multi-scale fusion method is presented as a strong baseline, which performs feature re-weighting to select the more informative channel features while suppressing the less useful ones for each modality across different scales.
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- WiderPerson: A Diverse Dataset for Dense Pedestrian Detection in the Wild222
A large and diverse dataset named WiderPerson for dense pedestrian detection in the wild, which contains dense pedestrians with various kinds of occlusions, and finds the classification ability of pedestrian detector needs to be improved to reduce false alarm and misdetection rates.
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- Fusion-Mamba for Cross-Modality Object Detection190
This work investigates a novel cross-modality fusion approach by associating cross-modal features in a hidden state space based on an improved Mamba with a gating attention mechanism, and establishes a new baseline for cross-modality object detection.
- CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing181
This work introduces the largest CASIA-SURF Cross-ethnicity Face Anti-spoofing (CeFA) dataset, and proposes a novel multi-modal fusion method as a strong baseline to alleviate the ethnic bias.
- Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection170
A depth-conditioned dynamic message propagation (DDMP) network to effectively integrate the multi-scale depth information with the image context and dynamically predicting hybrid depth-dependent filter weights and affinity matrices for propagating information is proposed.
- Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition161
Two attentive pooling (AP) modules to pool noisy features directly and intuitively reduce the computational cost while boosting the performance by pursuing the most discriminative features are presented.
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 2026-10-13. 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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