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12/19/2022
Million-scale Object Detection with Large Vision Model
Over the past few years, developing a broad, universal, and general-purp...
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11/27/2022
Semantic-Aware Local-Global Vision Transformer
Vision Transformers have achieved remarkable progresses, among which Swi...
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07/25/2022
Learning Generalizable Latent Representations for Novel Degradations in Super Resolution
Typical methods for blind image super-resolution (SR) focus on dealing w...
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07/25/2022
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations
While fine-tuning based methods for few-shot object detection have achie...
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07/22/2022
Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection
Most of existing methods for few-shot object detection follow the fine-t...
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07/16/2022
Global-Local Stepwise Generative Network for Ultra High-Resolution Image Restoration
While the research on image background restoration from regular size of ...
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07/16/2022
BCRLSP: An Offline Reinforcement Learning Framework for Sequential Targeted Promotion
We utilize an offline reinforcement learning (RL) model for sequential t...
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11/17/2021
Pedestrian Detection by Exemplar-Guided Contrastive Learning
Typical methods for pedestrian detection focus on either tackling mutual...
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10/10/2021
Stepwise-Refining Speech Separation Network via Fine-Grained Encoding in High-order Latent Domain
The crux of single-channel speech separation is how to encode the mixtur...
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10/01/2021
Generative Memory-Guided Semantic Reasoning Model for Image Inpainting
Most existing methods for image inpainting focus on learning the intra-i...
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05/21/2020