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20102022
most citedRecent Advances in Convolutional Neural Networks

325 citations · 2k across the 89 of their papers we have counts for

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Showing 2020Show all

10 papers · 1 filter

cs.CV2020★ 6 cited

Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning

Xiangxi Shi, Xu Yang, Jiuxiang Gu +2

Change Captioning is a task that aims to describe the difference between images with natural language. Most existing methods treat this problem as a difference judgment without the…

cs.CV2020★ 8 cited

Modeling Caricature Expressions by 3D Blendshape and Dynamic Texture

Keyu Chen, Jianmin Zheng, Jianfei Cai +1

The problem of deforming an artist-drawn caricature according to a given normal face expression is of interest in applications such as social media, animation and entertainment. Th…

cs.CV2020

MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models

Thanh Nguyen-Duc, He Zhao, Jianfei Cai +1

Deep learning methods usually require a large amount of training data and lack interpretability. In this paper, we propose a novel knowledge distillation and model interpretation f…

cs.CV2020★ 9 cited

Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification

Yucan Zhou, Yu Wang, Jianfei Cai +3

Deep neural networks are highly effective when a large number of labeled samples are available but fail with few-shot classification tasks. Recently, meta-learning methods have rec…

cs.CV2020★ 4 cited

Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation

Tao He, Lianli Gao, Jingkuan Song +2

Despite the huge progress in scene graph generation in recent years, its long-tail distribution in object relationships remains a challenging and pestering issue. Existing methods…

cs.CV2020★ 1 cited

Image Co-skeletonization via Co-segmentation

Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu +1

Recent advances in the joint processing of images have certainly shown its advantages over individual processing. Different from the existing works geared towards co-segmentation o…

cs.CV2020★ 2 cited

Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection

Zhonghua Wu, Qingyi Tao, Guosheng Lin +1

Fully supervised object detection has achieved great success in recent years. However, abundant bounding boxes annotations are needed for training a detector for novel classes. To…

cs.CV2020★ 30 cited

GeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition

Yuedong Chen, Guoxian Song, Zhiwen Shao +3

Automatic facial action unit (AU) recognition has attracted great attention but still remains a challenging task, as subtle changes of local facial muscles are difficult to thoroug…

cs.CV2020★ 155 cited

JA-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive Attention

Zhiwen Shao, Zhilei Liu, Jianfei Cai +1

Facial action unit (AU) detection and face alignment are two highly correlated tasks, since facial landmarks can provide precise AU locations to facilitate the extraction of meanin…

cs.CV2020★ 128 cited

Deconfounded Image Captioning: A Causal Retrospect

Xu Yang, Hanwang Zhang, Jianfei Cai

Dataset bias in vision-language tasks is becoming one of the main problems which hinders the progress of our community. Existing solutions lack a principled analysis about why mode…