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07/20/2023
Deep Spiking-UNet for Image Processing
U-Net, known for its simple yet efficient architecture, is widely utiliz...
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05/29/2023
Text-Only Image Captioning with Multi-Context Data Generation
Text-only Image Captioning (TIC) is an approach that aims to construct a...
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11/23/2022
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Language-guided image editing has achieved great success recently. In th...
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11/23/2022
Semantics-Preserving Sketch Embedding for Face Generation
With recent advances in image-to-image translation tasks, remarkable pro...
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11/03/2021
Dual Progressive Prototype Network for Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) aims to recognize new categories w...
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05/07/2021
Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification
Although existing person re-identification (Re-ID) methods have shown im...
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04/05/2021
Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning
Generalized Zero-Shot Learning (GZSL) targets recognizing new categories...
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01/28/2021
VAE^2: Preventing Posterior Collapse of Variational Video Predictions in the Wild
Predicting future frames of video sequences is challenging due to the co...
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12/23/2020
Generating Comprehensive Data with Protocol Fuzzing for Applying Deep Learning to Detect Network Attacks
Network attacks have become a major security concern for organizations w...
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04/10/2020
Spatiotemporal Fusion in 3D CNNs: A Probabilistic View
Despite the success in still image recognition, deep neural networks for...
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04/02/2020
Tracking by Instance Detection: A Meta-Learning Approach
We consider the tracking problem as a special type of object detection p...
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06/23/2019
One-Shot Neural Architecture Search Through A Posteriori Distribution Guided Sampling
The emergence of one-shot approaches has greatly advanced the research o...
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03/18/2019
Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation
Federated learning obtains a central model on the server by aggregating ...
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03/11/2019
Quality-Gated Convolutional LSTM for Enhancing compressed video
The past decade has witnessed great success in applying deep learning to...
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09/11/2018
Temporal-Spatial Mapping for Action Recognition
Deep learning models have enjoyed great success for image related comput...
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06/13/2016