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08/18/2023
SimDA: Simple Diffusion Adapter for Efficient Video Generation
The recent wave of AI-generated content has witnessed the great developm...
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02/21/2023
Parallel Sentence-Level Explanation Generation for Real-World Low-Resource Scenarios
In order to reveal the rationale behind model predictions, many works ha...
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01/05/2023
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token
Unlike language tasks, where the output space is usually limited to a se...
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12/01/2022
ResFormer: Scaling ViTs with Multi-Resolution Training
Vision Transformers (ViTs) have achieved overwhelming success, yet they ...
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11/23/2022
SVFormer: Semi-supervised Video Transformer for Action Recognition
Semi-supervised action recognition is a challenging but critical task du...
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06/09/2022
On Data Scaling in Masked Image Modeling
An important goal of self-supervised learning is to enable model pre-tra...
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05/30/2022
HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling
Recently, masked image modeling (MIM) has offered a new methodology of s...
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04/26/2022
Deeper Insights into ViTs Robustness towards Common Corruptions
Recent literature have shown design strategies from Convolutions Neural ...
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11/18/2021
SimMIM: A Simple Framework for Masked Image Modeling
This paper presents SimMIM, a simple framework for masked image modeling...
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06/13/2021
Cross-Modal Attention Consistency for Video-Audio Unsupervised Learning
Cross-modal correlation provides an inherent supervision for video unsup...
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06/08/2021
Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight
Vision Transformer (ViT) attains state-of-the-art performance in visual ...
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05/10/2021
Self-Supervised Learning with Swin Transformers
We are witnessing a modeling shift from CNN to Transformers in computer ...
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05/05/2021
Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data
Understanding human driving behaviors quantitatively is critical even in...
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03/10/2021
Learning to Estimate Kernel Scale and Orientation of Defocus Blur with Asymmetric Coded Aperture
Consistent in-focus input imagery is an essential precondition for machi...
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11/24/2020
Temporal Action Detection with Multi-level Supervision
Training temporal action detection in videos requires large amounts of l...
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09/25/2020
Towards a Systematic Computational Framework for Modeling Multi-Agent Decision-Making at Micro Level for Smart Vehicles in a Smart World
We propose a multi-agent based computational framework for modeling deci...
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08/10/2020
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Convolutional Neural Networks (CNNs) are known to rely more on local tex...
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04/24/2020
Reinforcing Short-Length Hashing
Due to the compelling efficiency in retrieval and storage, similarity-pr...
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03/27/2020
Weakly-Supervised Action Localization by Generative Attention Modeling
Weakly-supervised temporal action localization is a problem of learning ...
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12/09/2019
Self-supervised Object Motion and Depth Estimation from Video
We present a self-supervised learning framework to estimate the individu...
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09/17/2019
Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting
Tremendous variation in the scale of people/head size is a critical prob...
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09/16/2019
Learning Spatial Awareness to Improve Crowd Counting
The aim of crowd counting is to estimate the number of people in images ...
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04/16/2019
