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Claim this profileWorks266 from public data
- 6,702
- 1,902
- Collaborative Deep Learning for Recommender Systems1,727
A hierarchical Bayesian model called collaborative deep learning (CDL), which jointly performs deep representation learning for the content information and collaborative filtering for the ratings (feedback) matrix is proposed, which can significantly advance the state of the art.
- Learning a Deep Compact Image Representation for Visual Tracking974
Comparison with the state-of-the-art trackers on some challenging benchmark video sequences shows that the deep learning tracker is more accurate while maintaining low computational cost with real-time performance when the MATLAB implementation of the tracker is used with a modest graphics processing unit (GPU).
- Dynamic Key-Value Memory Networks for Knowledge Tracing933
This work introduces a new model called Dynamic Key-Value Memory Networks (DKVMN) that can exploit the relationships between underlying concepts and directly output a student's mastery level of each concept.
- The Visual Object Tracking VOT2016 Challenge Results776
The Visual Object Tracking challenge VOT2016 goes beyond its predecessors by introducing a new semi-automatic ground truth bounding box annotation methodology and extending the evaluation system with the no-reset experiment.
- 596
- Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks577
Factorized spatio-temporal convolutional networks (FstCN) are proposed that factorize the original 3D convolution kernel learning as a sequential process of learning 2D spatial kernels in the lower layers, followed by learning 1D temporal kernel in the upper layers.
- Robust path-based spectral clustering565
This paper develops a robust path-based spectral clustering method by defining a robust path-based similarity measure for spectral clustering under both unsupervised and semi-supervised settings and shows results that consistently outperforms other methods due to its higher robustness.
- Constructive algorithms for structure learning in feedforward neural networks for regression problems538
This survey paper first describes the general issues in constructive algorithms, with special emphasis on the search strategy, then presents a taxonomy, based on the differences in the state transition mapping, the training algorithm, and the network architecture.
- SVC2004: First International Signature Verification Competition503
The First International Signature Verification Competition (SVC2004) recently was organized as a step towards establishing common benchmark databases and benchmarking rules and the experience gained will be very useful to similar activities in the future.
- A convex formulation for learning task relationships in multi-task learning476
This paper proposes a regularization formulation for learning the relationships between tasks in multi-task learning, called MTRL, which can also describe negative task correlation and identify outlier tasks based on the same underlying principle.
- Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models431
A simple baselines to model the camera motion by geometric transformation based on background feature points is devised to address the challenging issue of severe camera motion in an unmanned aerial vehicle (UAV) or drone scenario.
- Earthformer: Exploring Space-Time Transformers for Earth System Forecasting416
The idea is to decompose the data into cuboids and apply cuboid-level self-attention in parallel, which achieves state-of-the-art performance on real-world benchmarks about precipitation nowcasting and El Nino/Southern Oscillation forecasting.
- Host-based intrusion detection using dynamic and static behavioral models385
This paper adopts an anomaly detection approach by detecting possible intrusions based on program or user profiles built from normal usage data using a scheme that can be justified from the perspective of hypothesis testing.
- Multilingual and Multi-Aspect Hate Speech Analysis365
This paper presents a new multilingual multi-aspect hate speech analysis dataset and uses it to test the current state-of-the-art multilingual multitask learning approaches.
- Understanding and Diagnosing Visual Tracking Systems365
A framework by breaking a tracker down into five constituent parts, namely, motion model, feature extractor, observation model, model updater, and ensemble post-processor is proposed, which can provide a solid baseline when conducting controlled experiments for visual tracking research.
- Addressing two problems in deep knowledge tracing via prediction-consistent regularization363
This work introduces regularization terms that correspond to reconstruction and waviness to the loss function of the original DKT model to enhance the consistency in prediction and alleviates two major problems in the model.
- 337
- Mathematical expression recognition: a survey328
This survey paper will review most of the existing work with respect to each of the two major stages of the recognition process, and tries to put emphasis on the similarities and differences between systems.
- A Survey on Bayesian Deep Learning327
This survey provides a comprehensive introduction to Bayesian deep learning and reviews its recent applications on recommender systems, topic models, control, and so on.
- MagicDrive: Street View Generation with Diverse 3D Geometry Control310
This paper introduces MagicDrive, a novel street view generation framework, offering diverse 3D geometry controls including camera poses, road maps, and 3D bounding boxes, together with textual descriptions, achieved through tailored encoding strategies.
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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 2026-10-14. 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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