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05/30/2023
Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection
Change detection is a widely adopted technique in remote sense imagery (...
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05/12/2023
Hear to Segment: Unmixing the Audio to Guide the Semantic Segmentation
In this paper, we focus on a recently proposed novel task called Audio-V...
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05/10/2023
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization
Current few-shot action recognition involves two primary sources of info...
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11/02/2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective
Few-shot learning problem focuses on recognizing unseen classes given a ...
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08/23/2022
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling
Training deep neural network (DNN) with noisy labels is practically chal...
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07/14/2022
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation
Unsupervised Domain Adaptation (UDA) aims to adapt the model trained on ...
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03/11/2022
Learning Distinctive Margin toward Active Domain Adaptation
Despite plenty of efforts focusing on improving the domain adaptation ab...
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02/23/2022
Deep Reinforcement Learning: Opportunities and Challenges
This article is a gentle discussion about the field of reinforcement lea...
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11/02/2021
Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic Perspective
Modern video object segmentation (VOS) algorithms have achieved remarkab...
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10/19/2021
LSTC: Boosting Atomic Action Detection with Long-Short-Term Context
In this paper, we place the atomic action detection problem into a Long-...
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08/04/2021
Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization
The crux of self-supervised video representation learning is to build ge...
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07/10/2021
TTAN: Two-Stage Temporal Alignment Network for Few-shot Action Recognition
Few-shot action recognition aims to recognize novel action classes (quer...
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04/26/2021
Variational Pedestrian Detection
Pedestrian detection in a crowd is a challenging task due to a high numb...
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10/23/2020
Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation
In this paper, we address several inadequacies of current video object s...
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08/30/2020
Finding Action Tubes with a Sparse-to-Dense Framework
The task of spatial-temporal action detection has attracted increasing a...
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08/19/2020
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization
Most current pipelines for spatio-temporal action localization connect f...
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05/09/2020
Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events
Along with the development of the modern smart city, human-centric video...
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04/30/2020
TRP: Trained Rank Pruning for Efficient Deep Neural Networks
To enable DNNs on edge devices like mobile phones, low-rank approximatio...
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10/09/2019
Traned Rank Pruning for Efficient Deep Neural Networks
To accelerate DNNs inference, low-rank approximation has been widely ado...
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08/19/2019
Reinforcement Learning Applications
We start with a brief introduction to reinforcement learning (RL), about...
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07/26/2019
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images
Segmenting coronary arteries is challenging, as classic unsupervised met...
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05/17/2019
Group Re-Identification with Multi-grained Matching and Integration
The task of re-identifying groups of people underdifferent camera views ...
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12/06/2018
Trained Rank Pruning for Efficient Deep Neural Networks
The performance of Deep Neural Networks (DNNs) keeps elevating in recent...
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10/15/2018
Deep Reinforcement Learning
We discuss deep reinforcement learning in an overview style. We draw a b...
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08/16/2018
Network Decoupling: From Regular to Depthwise Separable Convolutions
Depthwise separable convolution has shown great efficiency in network de...
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07/29/2018