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09/01/2023
Fine-grained Recognition with Learnable Semantic Data Augmentation
Fine-grained image recognition is a longstanding computer vision challen...
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06/20/2023
Dynamic Perceiver for Efficient Visual Recognition
Early exiting has become a promising approach to improving the inference...
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06/08/2023
Offline Prioritized Experience Replay
Offline reinforcement learning (RL) is challenged by the distributional ...
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05/25/2023
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models
Text-to-image (T2I) research has grown explosively in the past year, owi...
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11/17/2022
Cross-Modal Adapter for Text-Video Retrieval
Text-video retrieval is an important multi-modal learning task, where th...
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09/27/2022
AdaFocusV3: On Unified Spatial-temporal Dynamic Video Recognition
Recent research has revealed that reducing the temporal and spatial redu...
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09/18/2022
ActiveNeRF: Learning where to See with Uncertainty Estimation
Recently, Neural Radiance Fields (NeRF) has shown promising performances...
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07/06/2021
Integrating Circle Kernels into Convolutional Neural Networks
The square kernel is a standard unit for contemporary Convolutional Neur...
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11/27/2020
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving
Image-to-image translation aims at translating a particular style of an ...
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07/21/2020
Regularizing Deep Networks with Semantic Data Augmentation
Data augmentation is widely known as a simple yet surprisingly effective...
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12/11/2018
