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Claim this profileWorks163 from public data
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- FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic Segmentation154
This article proposes a Fast Bilateral Symmetrical Network (FBSNet), a symmetrical encoder-decoder structure with two branches, semantic information branch and spatial detail branch that can strike a good balance between accuracy and efficiency.
- MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation146
A novel lightweight network using a multi-scale context fusion (MSCFNet) scheme, which explores an asymmetric encoder-decoder architecture to alleviate the trade-off between accuracy, inference speed, and model size.
- Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing146
A novel model for knowledge tracing is proposed that captures students' learning ability and dynamically assigns students into distinct groups with similar ability at regular time intervals and combines this information with a Recurrent Neural Network architecture known as Deep Knowledge Tracing.
- Feature Distillation Interaction Weighting Network for Lightweight Image Super-resolution122
This work proposes a lightweight yet efficient Feature Distillation Interaction Weighted Network (FDIWN), which utilizes a series of specially designed Feature Shuffle Weighted Groups as the backbone, and several novel mutual Wide-residual Distillation interaction Blocks form an FSWG.
- Deep Cross-Modal Correlation Learning for Audio and Lyrics in Music Retrieval113
This is the first study that uses deep architectures for learning the temporal correlation between audio and lyrics, involving two-branch deep neural networks for audio modality and text modality (lyrics) and two significant contributions are made in the audio branch.
- Category-Based Deep CCA for Fine-Grained Venue Discovery From Multimodal Data110
A novel deep learning model, category-based deep canonical correlation analysis, which outperforms state of the arts for cross-modal retrieval between image and text and builds a new venue-aware multimodal data set by integrating Wikipedia featured articles and Foursquare venue photographs.
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- Leveraging multimodal information for event summarization and concept-level sentiment analysis73
This work presents the EventBuilder system that deals with semantics understanding and automatically generates a multimedia summary for a given event in real-time by leveraging different social media such as Wikipedia and Flickr, and the EventSensor system that aims to address sentics understanding and produces a multimedia Summary for agiven mood.
- End-to-End Named Entity Recognition from English Speech72
A first publicly available NER annotated dataset for English speech is introduced and an E2E approach, which jointly optimizes the ASR and NER tagger components is presented, which outperforms the classical two-step approach.
- ADVISOR72
A fast and effective heuristic ranking approach based on heterogeneous late fusion by jointly considering three aspects: venue categories, visual scene, and user listening history that recommends appealing soundtracks for UGVs to enhance the viewing experience is proposed.
- Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-Modal Retrieval64
A better representation by constructing a deep triplet neural network with triplet loss for optimal projections can be generated to maximize correlation in the shared subspace and positive examples and negative examples are used in the learning stage to improve the capability of embedding learning between audio and video.
- Context-Patch Face Hallucination Based on Thresholding Locality-Constrained Representation and Reproducing Learning62
This paper incorporates the contextual information of the image patch and proposes a powerful and efficient context-patch-based face hallucination approach, namely, thresholding locality-constrained representation and reproducing learning (TLcR-RL).
- Constructing multilayer locality-constrained matrix regression framework for noise robust face super-resolution58
An efficient multilayer locality-constrained matrix regression (MLCMR) framework to learn the representation of the input LR patch and meanwhile preserve the manifold of the original HR space and aims at reducing the inconsistency gap between different manifolds.
- Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition57
A feature set-based representation learning (FSRL) scheme to collaboratively represent the hierarchical features for more accurate recognition and the superiority of the presented algorithm to the other competitive CRFR approaches is verified.
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- Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination56
This paper proposes a general face hallucination method that can integrate model-based optimization and discriminative inference, and develops a high-frequency details compensation method by dividing the face image to facial components and performing face hallucinations in a multi-layer neighbor embedding manner.
- Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions55
This paper generates captions for images in the CelebA dataset by creating an algorithm to automatically convert a list of attributes to a set of captions, and model the highly multi-modal problem of text to face generation as learning the conditional distribution of faces in same latent space.
- Audio-Visual Embedding for Cross-Modal Music Video Retrieval through Supervised Deep CCA51
This work proposes a novel audio-visual embedding algorithm by Supervised Deep Canonical Correlation Analysis (S-DCCA) that projects audio and video into a shared space to bridge the semantic gap betweenaudio and video and proposes an end-to-end deep model for crossmodal audio- visual learning.
- Cross-resolution face recognition with pose variations via multilayer locality-constrained structural orthogonal procrustes regression48
The proposed MLCSOPR not only learns the pose-robust discriminative representation features to reduce the resolution gap between the LR image space and the high-resolution (HR) one but also strengthens the consistency between theLR and HR image space.
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- LBAN-IL: A novel method of high discriminative representation for facial expression recognition40
A novel LBAN-IL for FER in the wild, including local binary attention network (LBAN) and islets loss (IL), which aims to enhance the discrimination of expression features by increasing the amplitude of vectors.
- TRACE: Linguistic-Based Approach for Automatic Lecture Video Segmentation Leveraging Wikipedia Texts40
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 2026-10-16. 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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