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04/10/2023
Feature Representation Learning with Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition
Micro-expressions are spontaneous, rapid and subtle facial movements tha...
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03/27/2023
Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation
Deriving sophisticated 3D motions from sparse keyframes is a particularl...
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10/12/2022
Explore Contextual Information for 3D Scene Graph Generation
3D scene graph generation (SGG) has been of high interest in computer vi...
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07/15/2022
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space
Diverse human motion prediction aims at predicting multiple possible fut...
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06/17/2022
Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training
It is challenging to annotate large-scale datasets for supervised video ...
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05/26/2022
Social Interpretable Tree for Pedestrian Trajectory Prediction
Understanding the multiple socially-acceptable future behaviors is an es...
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03/30/2022
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction
This paper presents a high-quality human motion prediction method that a...
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12/11/2021
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
Acquiring the most representative examples via active learning (AL) can ...
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09/14/2021
Luminance Attentive Networks for HDR Image and Panorama Reconstruction
It is very challenging to reconstruct a high dynamic range (HDR) from a ...
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08/23/2021
CANet: A Context-Aware Network for Shadow Removal
In this paper, we propose a novel two-stage context-aware network named ...
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08/17/2021
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer
The paper proposes a Dynamic ResBlock Generative Adversarial Network (DR...
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08/16/2021
MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction
Human motion prediction is a challenging task due to the stochasticity a...
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08/16/2021
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
In this paper, we propose $\text{HF}^2$-VAD, a Hybrid framework that int...
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08/05/2021
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning
Existing image captioning methods just focus on understanding the relati...
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07/31/2021
Scene Inference for Object Illumination Editing
The seamless illumination integration between a foreground object and a ...
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07/28/2021
CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation
Generating photo-realistic images from a text description is a challengi...
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05/24/2021
Multi-Level Attentive Convoluntional Neural Network for Crowd Counting
Recently the crowd counting has received more and more attention. Especi...
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04/21/2021
A Two-Stage Attentive Network for Single Image Super-Resolution
Recently, deep convolutional neural networks (CNNs) have been widely exp...
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04/04/2021
SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction
Pedestrian trajectory prediction is a key technology in autopilot, which...
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01/03/2021
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
Weakly supervised temporal action localization is a challenging vision t...
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12/18/2019
Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations
Deep neural networks have achieved great success in many real-world appl...
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11/20/2019
RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
Residual images and illumination estimation have been proved very helpfu...
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08/04/2019
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal
In this paper we propose an attentive recurrent generative adversarial n...
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07/26/2019
VITAL: A Visual Interpretation on Text with Adversarial Learning for Image Labeling
In this paper, we propose a novel way to interpret text information by e...
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11/27/2018
A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Video Forgery
Frame duplication is to duplicate a sequence of consecutive frames and i...
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01/27/2018
Deep Neural Networks In Fully Connected CRF For Image Labeling With Social Network Metadata
We propose a novel method for predicting image labels by fusing image co...
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03/05/2017